Rayana AI
Read-only impersonal market research: portfolio rankings, ticker scores, signals, daily briefs.
사용해야 할까요
품질 및 안전성
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발견 사항 (1)
- LOWTool 'rayana_ai_lanes' description lacks action verbrayana_ai_lanes에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
~15,668토큰 (도구 정의)
~8.0 KB일반적인 응답 크기
상당한 주의 영향 (128k 컨텍스트의 12.24%)
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"rayana-ai": {
"url": "https://mcp.rayana.ai/mcp"
}
}
}원격 엔드포인트
https://mcp.rayana.ai/mcpstreamable-http할 수 있는 일
도구 목록
도구 (20)
🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢rayana_ai_rankings(lane, limit, offset, include_assessment)
Latest ranked candidate batch for a lane: daily (the main research lane), turtle (breakout system), or mr (mean-reversion). Rows come back in rank order, best first, so the default page is the top of the batch. ``total`` in the response is the batch size; when it exceeds ``count``, page with ``offset``. ``include_assessment`` adds each row's technical blob (pattern and cluster validation, volume profile) — it triples the response, so prefer ``rayana_ai_ticker`` for one name's detail and leave this off when scanning.
입력 스키마
{
"type": "object",
"properties": {
"lane": {
"default": "daily",
"enum": [
"daily",
"turtle",
"mr"
],
"title": "Lane",
"type": "string"
},
"limit": {
"default": 25,
"title": "Limit",
"type": "integer"
},
"offset": {
"default": 0,
"title": "Offset",
"type": "integer"
},
"include_assessment": {
"default": false,
"title": "Include Assessment",
"type": "boolean"
}
},
"title": "rayana_ai_rankingsArguments"
}출력 스키마
{
"type": "object",
"properties": {
"lane": {
"title": "Lane",
"type": "string"
},
"asof_hint": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Asof Hint"
},
"truncated": {
"default": false,
"title": "Truncated",
"type": "boolean"
},
"count": {
"title": "Count",
"type": "integer"
},
"total": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Total"
},
"candidates": {
"items": {
"$ref": "#/$defs/RankedCandidate"
},
"title": "Candidates",
"type": "array"
}
},
"required": [
"lane",
"count",
"candidates"
],
"$defs": {
"RankedCandidate": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"rank": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Rank"
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Name"
},
"sector": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sector"
},
"price": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Price"
},
"signal_count": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Signal Count"
},
"sources": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sources"
},
"vscore": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Vscore"
},
"vramp": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Vramp"
},
"recorded_at": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Recorded At"
},
"agg_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Agg Score"
},
"composite": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Composite"
},
"scorer_signal": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Scorer Signal"
},
"tech_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Tech Score"
},
"fund_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Fund Score"
},
"conviction": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Conviction"
},
"cycle_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cycle Score"
},
"cycle_zone": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Cycle Zone"
},
"alignment": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Alignment"
},
"readiness": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Readiness"
},
"readiness_label": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Readiness Label"
},
"exit_proximity": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Exit Proximity"
},
"assessment": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
],
"default": null,
"title": "Assessment"
},
"signal_confirmed": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Signal Confirmed"
},
"n": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "N"
},
"systems_triggered": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Systems Triggered"
},
"breakout_sys1": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Breakout Sys1"
},
"breakout_sys2": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Breakout Sys2"
},
"donchian_20h": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Donchian 20H"
},
"donchian_55h": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Donchian 55H"
},
"donchian_10l": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Donchian 10L"
},
"donchian_20l": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Donchian 20L"
},
"dist_to_breakout_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Dist To Breakout Pct"
},
"breakout_confidence": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Breakout Confidence"
},
"hurst": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Hurst"
},
"efficiency_ratio": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Efficiency Ratio"
},
"bb_squeeze_pctile": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Bb Squeeze Pctile"
},
"initial_stop": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Initial Stop"
},
"rsi2": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Rsi2"
},
"adx": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Adx"
},
"atr": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Atr"
},
"sma200": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Sma200"
},
"sma5": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Sma5"
},
"trend_ok": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Trend Ok"
},
"regime_choppy": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Regime Choppy"
},
"catastrophe_stop": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Catastrophe Stop"
},
"exit_rsi_level": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Exit Rsi Level"
},
"exit_sma5": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Exit Sma5"
},
"time_stop_bars": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Time Stop Bars"
}
},
"required": [
"ticker"
],
"title": "RankedCandidate",
"type": "object"
}
},
"title": "RankingsResponse"
}🟢rayana_ai_lanes
Which lanes (daily/turtle/mr) currently have a batch available.
입력 스키마
{
"type": "object",
"properties": {},
"title": "rayana_ai_lanesArguments"
}출력 스키마
{
"type": "object",
"additionalProperties": {
"type": "boolean"
},
"title": "rayana_ai_lanesDictOutput"
}🟢rayana_ai_signals(lane, limit)
Latest aggregator-consensus batch for one asset lane: which tickers cleared the signal pipeline, blended agg_score, confirming source count.
입력 스키마
{
"type": "object",
"properties": {
"lane": {
"default": "equity",
"enum": [
"equity",
"crypto",
"commodity"
],
"title": "Lane",
"type": "string"
},
"limit": {
"default": 60,
"title": "Limit",
"type": "integer"
}
},
"title": "rayana_ai_signalsArguments"
}출력 스키마
{
"type": "object",
"properties": {
"lane": {
"title": "Lane",
"type": "string"
},
"truncated": {
"default": false,
"title": "Truncated",
"type": "boolean"
},
"count": {
"title": "Count",
"type": "integer"
},
"signals": {
"items": {
"$ref": "#/$defs/SignalRow"
},
"title": "Signals",
"type": "array"
}
},
"required": [
"lane",
"count",
"signals"
],
"$defs": {
"SignalRow": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"agg_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Agg Score"
},
"signal_count": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Signal Count"
},
"sources": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sources"
}
},
"required": [
"ticker"
],
"title": "SignalRow",
"type": "object"
}
},
"title": "SignalsResponse"
}🟢rayana_ai_consensus(source, limit)
Per-source consensus snapshots (insider trades, congressional trades, earnings beats, dated catalysts, on-chain flows, 13F filings, AI news-beneficiary reads). Omit ``source`` for every source at once, or pass one of the slugs returned in a rankings/signals row's source list. ``limit`` caps rows per source. The sources are very unevenly sized — institutional holdings runs to ~1700 rows where on-chain flows may have two — so a source that comes back with exactly ``limit`` rows probably has more, and narrowing with ``source`` and raising ``limit`` reads that one layer deeply for far less context than raising ``limit`` across all seven.
입력 스키마
{
"type": "object",
"properties": {
"source": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Source"
},
"limit": {
"default": 25,
"title": "Limit",
"type": "integer"
}
},
"title": "rayana_ai_consensusArguments"
}출력 스키마
{
"type": "object",
"properties": {
"insider-activity": {
"anyOf": [
{
"items": {
"$ref": "#/$defs/Form4ConsensusRow"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Insider-Activity"
},
"congressional-trading": {
"anyOf": [
{
"items": {
"$ref": "#/$defs/CaptradesConsensusRow"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Congressional-Trading"
},
"earnings-surprise": {
"anyOf": [
{
"items": {
"$ref": "#/$defs/EarningsConsensusRow"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Earnings-Surprise"
},
"event-calendar": {
"anyOf": [
{
"items": {
"$ref": "#/$defs/CatalystConsensusRow"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Event-Calendar"
},
"onchain-flows": {
"anyOf": [
{
"items": {
"$ref": "#/$defs/OnchainConsensusRow"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Onchain-Flows"
},
"institutional-holdings": {
"anyOf": [
{
"items": {
"$ref": "#/$defs/DataromaConsensusRow"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Institutional-Holdings"
},
"ai-news-analysis": {
"anyOf": [
{
"items": {
"$ref": "#/$defs/NewsBeneficiaryConsensusRow"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Ai-News-Analysis"
}
},
"$defs": {
"CaptradesConsensusRow": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"company": {
"title": "Company",
"type": "string"
},
"buyers": {
"title": "Buyers",
"type": "integer"
},
"sellers": {
"title": "Sellers",
"type": "integer"
},
"net_politicians": {
"title": "Net Politicians",
"type": "integer"
},
"buy_usd": {
"title": "Buy Usd",
"type": "number"
},
"sell_usd": {
"title": "Sell Usd",
"type": "number"
},
"net_usd": {
"title": "Net Usd",
"type": "number"
},
"trades": {
"title": "Trades",
"type": "integer"
},
"run_at": {
"title": "Run At",
"type": "string"
}
},
"required": [
"ticker",
"company",
"buyers",
"sellers",
"net_politicians",
"buy_usd",
"sell_usd",
"net_usd",
"trades",
"run_at"
],
"title": "CaptradesConsensusRow",
"type": "object"
},
"CatalystConsensusRow": {
"properties": {
"feed": {
"title": "Feed",
"type": "string"
},
"category": {
"title": "Category",
"type": "string"
},
"event": {
"title": "Event",
"type": "string"
},
"event_date": {
"title": "Event Date",
"type": "string"
},
"ticker": {
"title": "Ticker",
"type": "string"
},
"entity": {
"title": "Entity",
"type": "string"
},
"exchange": {
"title": "Exchange",
"type": "string"
},
"confidence": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Confidence"
},
"note": {
"title": "Note",
"type": "string"
},
"run_at": {
"title": "Run At",
"type": "string"
}
},
"required": [
"feed",
"category",
"event",
"event_date",
"ticker",
"entity",
"exchange",
"note",
"run_at"
],
"title": "CatalystConsensusRow",
"type": "object"
},
"DataromaConsensusRow": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"company": {
"title": "Company",
"type": "string"
},
"buyers": {
"title": "Buyers",
"type": "integer"
},
"sellers": {
"title": "Sellers",
"type": "integer"
},
"holders": {
"title": "Holders",
"type": "integer"
},
"buy_usd": {
"title": "Buy Usd",
"type": "number"
},
"sell_usd": {
"title": "Sell Usd",
"type": "number"
},
"net_usd": {
"title": "Net Usd",
"type": "number"
},
"net_managers": {
"title": "Net Managers",
"type": "integer"
},
"run_at": {
"title": "Run At",
"type": "string"
}
},
"required": [
"ticker",
"company",
"buyers",
"sellers",
"holders",
"buy_usd",
"sell_usd",
"net_usd",
"net_managers",
"run_at"
],
"title": "DataromaConsensusRow",
"type": "object"
},
"EarningsConsensusRow": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"company": {
"title": "Company",
"type": "string"
},
"report_date": {
"title": "Report Date",
"type": "string"
},
"report_time": {
"title": "Report Time",
"type": "string"
},
"eps_actual": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Eps Actual"
},
"eps_estimate": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Eps Estimate"
},
"surprise_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Surprise Pct"
},
"market_cap": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Market Cap"
},
"num_estimates": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Num Estimates"
},
"fiscal_period": {
"title": "Fiscal Period",
"type": "string"
},
"run_at": {
"title": "Run At",
"type": "string"
}
},
"required": [
"ticker",
"company",
"report_date",
"report_time",
"fiscal_period",
"run_at"
],
"title": "EarningsConsensusRow",
"type": "object"
},
"Form4ConsensusRow": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"company": {
"title": "Company",
"type": "string"
},
"insiders": {
"title": "Insiders",
"type": "integer"
},
"best_role": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Best Role"
},
"top_title": {
"title": "Top Title",
"type": "string"
},
"total_value": {
"title": "Total Value",
"type": "number"
},
"buys": {
"title": "Buys",
"type": "integer"
},
"run_at": {
"title": "Run At",
"type": "string"
}
},
"required": [
"ticker",
"company",
"insiders",
"top_title",
"total_value",
"buys",
"run_at"
],
"title": "Form4ConsensusRow",
"type": "object"
},
"NewsBeneficiaryConsensusRow": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"company": {
"title": "Company",
"type": "string"
},
"direction": {
"title": "Direction",
"type": "string"
},
"order_hops": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Order Hops"
},
"mechanism": {
"title": "Mechanism",
"type": "string"
},
"confidence": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Confidence"
},
"obviousness": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Obviousness"
},
"horizon": {
"title": "Horizon",
"type": "string"
},
"score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Score"
},
"validated": {
"title": "Validated",
"type": "integer"
},
"headline": {
"title": "Headline",
"type": "string"
},
"source": {
"title": "Source",
"type": "string"
},
"url": {
"title": "Url",
"type": "string"
},
"run_at": {
"title": "Run At",
"type": "string"
},
"snapshot_date": {
"title": "Snapshot Date",
"type": "string"
}
},
"required": [
"ticker",
"company",
"direction",
"mechanism",
"horizon",
"validated",
"headline",
"source",
"url",
"run_at",
"snapshot_date"
],
"title": "NewsBeneficiaryConsensusRow",
"type": "object"
},
"OnchainConsensusRow": {
"properties": {
"symbol": {
"title": "Symbol",
"type": "string"
},
"wallets": {
"title": "Wallets",
"type": "integer"
},
"best_tier": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Best Tier"
},
"top_label": {
"title": "Top Label",
"type": "string"
},
"total_value": {
"title": "Total Value",
"type": "number"
},
"transfers": {
"title": "Transfers",
"type": "integer"
},
"chains": {
"title": "Chains",
"type": "string"
},
"run_at": {
"title": "Run At",
"type": "string"
}
},
"required": [
"symbol",
"wallets",
"top_label",
"total_value",
"transfers",
"chains",
"run_at"
],
"title": "OnchainConsensusRow",
"type": "object"
}
},
"title": "ConsensusResponse"
}🟢rayana_ai_ticker(symbol)
Full per-ticker research view: score, lane membership, per-source signals, virality, consensus, cluster-rotation position, forward returns.
입력 스키마
{
"type": "object",
"properties": {
"symbol": {
"title": "Symbol",
"type": "string"
}
},
"required": [
"symbol"
],
"title": "rayana_ai_tickerArguments"
}출력 스키마
{
"type": "object",
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"score": {
"anyOf": [
{
"$ref": "#/$defs/TickerScoreRow"
},
{
"type": "null"
}
],
"default": null
},
"detail": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
],
"default": null,
"title": "Detail"
},
"truncated": {
"title": "Truncated",
"type": "boolean"
}
},
"required": [
"ticker",
"truncated"
],
"$defs": {
"TickerScoreRow": {
"properties": {
"composite": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Composite"
},
"signal": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Signal"
},
"tech_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Tech Score"
},
"fund_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Fund Score"
},
"hurst": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Hurst"
},
"regime": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Regime"
},
"rank": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Rank"
},
"price": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Price"
},
"run_at": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Run At"
},
"script": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Script"
}
},
"title": "TickerScoreRow",
"type": "object"
}
},
"title": "TickerResponse"
}🟢rayana_ai_ticker_price(symbol, period, max_points)
Daily close-price history for one ticker over the given period. Long periods are evenly sampled down to ``max_points`` bars rather than cut short, so the series still spans the whole period — ``5Y`` and ``MAX`` return the shape of the history, not its last year. ``last_close``, ``change_pct`` and the ``range_low``/``range_high`` extremes are computed over every bar regardless of sampling.
입력 스키마
{
"type": "object",
"properties": {
"symbol": {
"title": "Symbol",
"type": "string"
},
"period": {
"default": "1Y",
"enum": [
"1M",
"6M",
"YTD",
"1Y",
"5Y",
"MAX"
],
"title": "Period",
"type": "string"
},
"max_points": {
"default": 260,
"title": "Max Points",
"type": "integer"
}
},
"required": [
"symbol"
],
"title": "rayana_ai_ticker_priceArguments"
}출력 스키마
{
"type": "object",
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"period": {
"title": "Period",
"type": "string"
},
"points": {
"items": {
"$ref": "#/$defs/PricePoint"
},
"title": "Points",
"type": "array"
},
"last_close": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Last Close"
},
"change_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Change Pct"
},
"range_low": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Range Low"
},
"range_high": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Range High"
}
},
"required": [
"ticker",
"period",
"points"
],
"$defs": {
"PricePoint": {
"properties": {
"date": {
"title": "Date",
"type": "string"
},
"close": {
"title": "Close",
"type": "number"
}
},
"required": [
"date",
"close"
],
"title": "PricePoint",
"type": "object"
}
},
"title": "PriceHistoryResponse"
}🟢rayana_ai_ticker_analyst(symbol)
Today's cached AI ticker-analyst read (lean, conviction, thesis, evidence for/against, invalidation condition). Never triggers a new model call; 404s if nothing was generated today for this ticker.
입력 스키마
{
"type": "object",
"properties": {
"symbol": {
"title": "Symbol",
"type": "string"
}
},
"required": [
"symbol"
],
"title": "rayana_ai_ticker_analystArguments"
}출력 스키마
{
"type": "object",
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"analysis_date": {
"title": "Analysis Date",
"type": "string"
},
"lean": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Lean"
},
"conviction": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Conviction"
},
"thesis": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Thesis"
},
"evidence_for": {
"default": [],
"items": {
"type": "string"
},
"title": "Evidence For",
"type": "array"
},
"evidence_against": {
"default": [],
"items": {
"type": "string"
},
"title": "Evidence Against",
"type": "array"
},
"invalidation": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Invalidation"
},
"model": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Model"
},
"cost_usd": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cost Usd"
},
"created_at": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Created At"
},
"cached": {
"default": true,
"title": "Cached",
"type": "boolean"
}
},
"required": [
"ticker",
"analysis_date"
],
"title": "TickerAnalystBrief"
}🟢rayana_ai_ticker_articles(symbol)
One ticker's published article history, newest first.
입력 스키마
{
"type": "object",
"properties": {
"symbol": {
"title": "Symbol",
"type": "string"
}
},
"required": [
"symbol"
],
"title": "rayana_ai_ticker_articlesArguments"
}출력 스키마
{
"type": "object",
"properties": {
"count": {
"title": "Count",
"type": "integer"
},
"articles": {
"items": {
"$ref": "#/$defs/ArticleSummary"
},
"title": "Articles",
"type": "array"
},
"total": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Total"
},
"limit": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Limit"
},
"offset": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Offset"
}
},
"required": [
"count",
"articles"
],
"$defs": {
"ArticleSummary": {
"properties": {
"slug": {
"title": "Slug",
"type": "string"
},
"ticker": {
"title": "Ticker",
"type": "string"
},
"headline": {
"title": "Headline",
"type": "string"
},
"dek": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Dek"
},
"trigger_type": {
"title": "Trigger Type",
"type": "string"
},
"published_at": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Published At"
}
},
"required": [
"slug",
"ticker",
"headline",
"trigger_type"
],
"title": "ArticleSummary",
"type": "object"
}
},
"title": "ArticlesResponse"
}🟢rayana_ai_rotation(view, days, include_trajectory)
Cluster-rotation layer. ``summary``: latest per-cluster RRG quadrant/rank rows with deltas, plus the most recent quadrant-crossing events (``days`` controls the window both are computed over). ``laggards``: members trailing a firing cluster's leader. ``discovered``: unsupervised cluster-discovery cohorts the structural taxonomy misses. ``members``: structural cluster membership. On ``summary``, two blocks are trimmed because together they are 80% of the response while answering a narrower question than the rows do. ``include_trajectory`` adds each cluster's full rank series — a chart payload, off by default. ``events`` returns the newest 25 crossings; if exactly 25 come back there are probably older ones, and a wider ``days`` is not what returns them.
입력 스키마
{
"type": "object",
"properties": {
"view": {
"default": "summary",
"enum": [
"summary",
"laggards",
"discovered",
"members"
],
"title": "View",
"type": "string"
},
"days": {
"default": 45,
"title": "Days",
"type": "integer"
},
"include_trajectory": {
"default": false,
"title": "Include Trajectory",
"type": "boolean"
}
},
"title": "rayana_ai_rotationArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"anyOf": [
{
"$ref": "#/$defs/RotationResponse"
},
{
"items": {
"$ref": "#/$defs/ClusterLaggardRow"
},
"type": "array"
},
{
"items": {
"$ref": "#/$defs/DiscoveredClusterRow"
},
"type": "array"
},
{
"additionalProperties": {
"$ref": "#/$defs/ClusterMembersEntry"
},
"type": "object"
}
],
"title": "Result"
}
},
"required": [
"result"
],
"$defs": {
"ClusterLaggardRow": {
"properties": {
"cluster_name": {
"title": "Cluster Name",
"type": "string"
},
"ticker": {
"title": "Ticker",
"type": "string"
},
"leader": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Leader"
},
"leader_move_10d": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Leader Move 10D"
},
"leader_catalyst": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Leader Catalyst"
},
"cluster_move_10d": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cluster Move 10D"
},
"gap_10d": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Gap 10D"
},
"lag_z": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Lag Z"
},
"participation": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Participation"
},
"also_surfaced": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Also Surfaced"
},
"snapshot_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Snapshot Date"
}
},
"required": [
"cluster_name",
"ticker"
],
"title": "ClusterLaggardRow",
"type": "object"
},
"ClusterMembersEntry": {
"properties": {
"members": {
"default": [],
"items": {
"type": "string"
},
"title": "Members",
"type": "array"
},
"leads": {
"default": [],
"items": {
"type": "string"
},
"title": "Leads",
"type": "array"
},
"note": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Note"
}
},
"title": "ClusterMembersEntry",
"type": "object"
},
"ClusterMomentumRow": {
"properties": {
"id": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Id"
},
"recorded_at": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Recorded At"
},
"snapshot_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Snapshot Date"
},
"asof": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Asof"
},
"cluster_name": {
"title": "Cluster Name",
"type": "string"
},
"n_members": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "N Members"
},
"mom_5d": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Mom 5D"
},
"mom_20d": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Mom 20D"
},
"mom_60d": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Mom 60D"
},
"rs_ratio": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Rs Ratio"
},
"rs_mom": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Rs Mom"
},
"quadrant": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Quadrant"
},
"rank": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Rank"
},
"rank_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Rank Pct"
},
"breadth": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Breadth"
},
"cohesion": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cohesion"
},
"rank_prev": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Rank Prev"
},
"quadrant_prev": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Quadrant Prev"
},
"rank_delta": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Rank Delta"
}
},
"required": [
"cluster_name"
],
"title": "ClusterMomentumRow",
"type": "object"
},
"ClusterRotationEvent": {
"properties": {
"date": {
"title": "Date",
"type": "string"
},
"cluster": {
"title": "Cluster",
"type": "string"
},
"from": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "From"
},
"to": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "To"
},
"flow": {
"title": "Flow",
"type": "string"
}
},
"required": [
"date",
"cluster",
"flow"
],
"title": "ClusterRotationEvent",
"type": "object"
},
"ClusterTrajectory": {
"properties": {
"cluster": {
"title": "Cluster",
"type": "string"
},
"series": {
"items": {
"$ref": "#/$defs/ClusterTrajectoryPoint"
},
"title": "Series",
"type": "array"
}
},
"required": [
"cluster",
"series"
],
"title": "ClusterTrajectory",
"type": "object"
},
"ClusterTrajectoryPoint": {
"properties": {
"date": {
"title": "Date",
"type": "string"
},
"rank": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Rank"
}
},
"required": [
"date"
],
"title": "ClusterTrajectoryPoint",
"type": "object"
},
"DiscoveredClusterRow": {
"properties": {
"snapshot_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Snapshot Date"
},
"cluster_uid": {
"title": "Cluster Uid",
"type": "string"
},
"label": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Label"
},
"label_source": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Label Source"
},
"structural_match": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Structural Match"
},
"is_new": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Is New"
},
"size": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Size"
},
"cohesion": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cohesion"
},
"members": {
"default": [],
"items": {
"type": "string"
},
"title": "Members",
"type": "array"
}
},
"required": [
"cluster_uid"
],
"title": "DiscoveredClusterRow",
"type": "object"
},
"RotationResponse": {
"properties": {
"latest": {
"items": {
"$ref": "#/$defs/ClusterMomentumRow"
},
"title": "Latest",
"type": "array"
},
"asof": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Asof"
},
"prior_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Prior Date"
},
"trajectory": {
"items": {
"$ref": "#/$defs/ClusterTrajectory"
},
"title": "Trajectory",
"type": "array"
},
"events": {
"items": {
"$ref": "#/$defs/ClusterRotationEvent"
},
"title": "Events",
"type": "array"
},
"snapshots": {
"items": {
"type": "string"
},
"title": "Snapshots",
"type": "array"
}
},
"required": [
"latest",
"trajectory",
"events",
"snapshots"
],
"title": "RotationResponse",
"type": "object"
}
},
"title": "rayana_ai_rotationOutput"
}🟢rayana_ai_trends(limit)
The attention leaderboard: latest virality snapshot ranked by VScore, with the full intensity/breadth/slope/vramp decomposition.
입력 스키마
{
"type": "object",
"properties": {
"limit": {
"default": 40,
"title": "Limit",
"type": "integer"
}
},
"title": "rayana_ai_trendsArguments"
}출력 스키마
{
"type": "object",
"properties": {
"asof": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Asof"
},
"truncated": {
"default": false,
"title": "Truncated",
"type": "boolean"
},
"count": {
"title": "Count",
"type": "integer"
},
"leaders": {
"items": {
"$ref": "#/$defs/TrendRow"
},
"title": "Leaders",
"type": "array"
}
},
"required": [
"count",
"leaders"
],
"$defs": {
"TrendRow": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"viral_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Viral Score"
},
"intensity": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Intensity"
},
"breadth": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Breadth"
},
"slope": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Slope"
},
"vramp": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Vramp"
},
"distinct_days": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Distinct Days"
},
"distinct_sources": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Distinct Sources"
},
"source_list": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Source List"
}
},
"required": [
"ticker"
],
"title": "TrendRow",
"type": "object"
}
},
"title": "TrendsResponse"
}🟢rayana_ai_trends_detail(view, limit)
The attention layer's raw texture. ``sources``: per-source reach today. ``heat``: per-(ticker, source) attention contributions. ``search``: rising/breakout consumer search queries. ``video``: rising video-view velocity. ``limit`` applies to search/video only; omit it to use that view's own default.
입력 스키마
{
"type": "object",
"properties": {
"view": {
"enum": [
"sources",
"heat",
"search",
"video"
],
"title": "View",
"type": "string"
},
"limit": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Limit"
}
},
"required": [
"view"
],
"title": "rayana_ai_trends_detailArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"anyOf": [
{
"items": {
"$ref": "#/$defs/SourceBreadthRow"
},
"type": "array"
},
{
"items": {
"$ref": "#/$defs/SourceHeatRow"
},
"type": "array"
},
{
"items": {
"$ref": "#/$defs/SearchTrendRow"
},
"type": "array"
},
{
"items": {
"$ref": "#/$defs/VideoTrendRow"
},
"type": "array"
}
],
"title": "Result"
}
},
"required": [
"result"
],
"$defs": {
"SearchTrendRow": {
"properties": {
"query": {
"title": "Query",
"type": "string"
},
"value": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Value"
},
"section": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Section"
},
"day": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Day"
}
},
"required": [
"query"
],
"title": "SearchTrendRow",
"type": "object"
},
"SourceBreadthRow": {
"properties": {
"source": {
"title": "Source",
"type": "string"
},
"tickers": {
"title": "Tickers",
"type": "integer"
},
"avg_intensity": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Avg Intensity"
},
"max_intensity": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Max Intensity"
}
},
"required": [
"source",
"tickers"
],
"title": "SourceBreadthRow",
"type": "object"
},
"SourceHeatRow": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"source": {
"title": "Source",
"type": "string"
},
"intensity": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Intensity"
},
"days_active": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Days Active"
},
"recent_age": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Recent Age"
},
"last_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Last Score"
}
},
"required": [
"ticker",
"source"
],
"title": "SourceHeatRow",
"type": "object"
},
"VideoTrendRow": {
"properties": {
"title": {
"title": "Title",
"type": "string"
},
"channel": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Channel"
},
"link": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Link"
},
"views": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Views"
},
"published_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Published Date"
},
"age_hours": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Age Hours"
},
"velocity_vph": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Velocity Vph"
},
"velocity_score": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Velocity Score"
},
"ticker": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Ticker"
},
"company_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company Name"
}
},
"required": [
"title"
],
"title": "VideoTrendRow",
"type": "object"
}
},
"title": "rayana_ai_trends_detailOutput"
}🟢rayana_ai_market_brief(date)
The daily market brief: a generic engine-wide read with no recommendations, descriptive only. Latest by default; pass ``date`` (YYYY-MM-DD) for a specific day.
입력 스키마
{
"type": "object",
"properties": {
"date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date"
}
},
"title": "rayana_ai_market_briefArguments"
}출력 스키마
{
"type": "object",
"properties": {
"brief": {
"additionalProperties": true,
"title": "Brief",
"type": "object"
},
"notes": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Notes",
"type": "array"
}
},
"required": [
"brief",
"notes"
],
"title": "MarketBriefResponse"
}🟢rayana_ai_analyst_brief(date)
The portfolio-analyst brief with its per-ticker views — the broadcast opinion layer, identical for every caller.
입력 스키마
{
"type": "object",
"properties": {
"date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date"
}
},
"title": "rayana_ai_analyst_briefArguments"
}출력 스키마
{
"type": "object",
"properties": {
"brief": {
"additionalProperties": true,
"title": "Brief",
"type": "object"
},
"views": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Views",
"type": "array"
}
},
"required": [
"brief",
"views"
],
"title": "AnalystBriefResponse"
}🟢rayana_ai_portfolios(include_retired)
The full shelf of Rayana AI's broadcast model portfolios as merchandising cards, with each card's tier/openable/delayed flags.
입력 스키마
{
"type": "object",
"properties": {
"include_retired": {
"default": false,
"title": "Include Retired",
"type": "boolean"
}
},
"title": "rayana_ai_portfoliosArguments"
}출력 스키마
{
"type": "object",
"properties": {
"count": {
"title": "Count",
"type": "integer"
},
"tier": {
"title": "Tier",
"type": "string"
},
"portfolios": {
"items": {
"$ref": "#/$defs/ShelfCard"
},
"title": "Portfolios",
"type": "array"
}
},
"required": [
"count",
"tier",
"portfolios"
],
"$defs": {
"ShelfCard": {
"description": "One merchandising card on the shelf.\n\n``openable``/``delayed`` are computed per caller by the router, not stored.\n``last_update``/``n_holdings`` arrive already collapsed to the pair this\ncaller's access level entitles them to (``_public_card``) — the internal\n``last_published_update``/``n_published_holdings`` pair is undeclared here\nand so cannot ship even if that collapse were ever skipped.\n\nDeliberately absent: ``source_lane`` and ``scoring_mode`` (internal lane\nprovenance — they name the engine that picks the book), the numeric ``id``,\nand the gate configuration (``publish_delay_min``, ``draft_gate_enabled``,\n``consumer_delay_min``), which is policy input rather than reader-facing\ncontent — a reader sees its *effect*, as ``delayed``.",
"properties": {
"slug": {
"title": "Slug",
"type": "string"
},
"display_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Display Name"
},
"objective": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Objective"
},
"risk_tier": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Risk Tier"
},
"mechanism_blurb": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Mechanism Blurb"
},
"asset_class": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Asset Class"
},
"benchmark": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Benchmark"
},
"tier": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Tier"
},
"status": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Status"
},
"inception_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Inception Date"
},
"last_update": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Last Update"
},
"n_holdings": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "N Holdings"
},
"nav": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Nav"
},
"cum_return_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cum Return Pct"
},
"cagr_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cagr Pct"
},
"drawdown_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Drawdown Pct"
},
"openable": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Openable"
},
"delayed": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Delayed"
}
},
"required": [
"slug"
],
"title": "ShelfCard",
"type": "object"
}
},
"title": "PortfolioShelf"
}🟢rayana_ai_portfolio(slug)
One model portfolio's full detail: holdings, overlay legs, event feed, NAV series, and windowed returns. Returns an error if the slug's tier (e.g. an Elite-only book) is above this key's own tier — a Pro key does not get Elite content just because it has MCP access.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"title": "Slug",
"type": "string"
}
},
"required": [
"slug"
],
"title": "rayana_ai_portfolioArguments"
}출력 스키마
{
"type": "object",
"properties": {
"slug": {
"title": "Slug",
"type": "string"
},
"delayed_to": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Delayed To"
},
"book": {
"$ref": "#/$defs/PortfolioRegistry"
},
"asof": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Asof"
},
"holdings": {
"default": [],
"items": {
"$ref": "#/$defs/Holding"
},
"title": "Holdings",
"type": "array"
},
"overlay": {
"default": [],
"items": {
"$ref": "#/$defs/OverlayLeg"
},
"title": "Overlay",
"type": "array"
},
"events": {
"default": [],
"items": {
"$ref": "#/$defs/BookEvent"
},
"title": "Events",
"type": "array"
},
"nav": {
"default": [],
"items": {
"$ref": "#/$defs/NavPoint"
},
"title": "Nav",
"type": "array"
},
"windows": {
"default": [],
"items": {
"$ref": "#/$defs/NavWindow"
},
"title": "Windows",
"type": "array"
},
"metrics": {
"$ref": "#/$defs/PortfolioMetrics",
"default": {
"n_holdings": 0,
"n_overlay": 0,
"sleeve_state": null,
"total_weight_pct": null,
"weighted_select_metric": null,
"sel_metric_kind": null,
"overlay_annual_yield": null,
"weighted_income_rate": null,
"weighted_sustainable_yield": null,
"weighted_reinvest_required": null,
"income_coverage": null,
"total_income_yield": null,
"distribution": null
}
}
},
"required": [
"slug",
"book"
],
"$defs": {
"BookEvent": {
"description": "One row of the public event feed — the projection of the diff log, not\nthe log. ``reason`` has already been rewritten into the fixed public\nvocabulary by ``_public_reason``; the stored text never reaches here, and\n``source_metric`` (the number behind it) is undeclared on purpose.",
"properties": {
"event_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Event Date"
},
"action": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Action"
},
"ticker": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Ticker"
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Name"
},
"side": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Side"
},
"delta_weight_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Delta Weight Pct"
},
"instrument_type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Instrument Type"
},
"reason": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Reason"
}
},
"title": "BookEvent",
"type": "object"
},
"Contract": {
"description": "The option contract an overlay leg is written on: its identity\n(expiry/strike/right, per ``_contract_id`` in strategy/model_portfolios.py)\nplus what a reader needs to price it.\n\nDeliberately absent: ``delta`` and ``implied_vol`` — the leg already\npublishes ``assignment_prob``, which IS |delta| — and ``iv_rank`` / ``vrp``\n/ ``timing_mult``, the overlay's timing provenance, which is selection\nmechanism (strategy/premium_overlay.py::contract_spec).",
"properties": {
"underlying": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Underlying"
},
"expiry": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Expiry"
},
"strike": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Strike"
},
"right": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Right"
},
"multiplier": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Multiplier"
},
"premium": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Premium"
},
"dte": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Dte"
},
"contract": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Contract"
}
},
"title": "Contract",
"type": "object"
},
"DistributionSummary": {
"description": "The book's distribution record (docs/distribution_layer.md §5). ``None``\non ``PortfolioMetrics.distribution`` means not a distributing book at all;\npresent with ``since`` and ``distributions_to_date_pct`` None means it IS\ndistributing but no session has crossed the seam yet — a real state, and it\nrenders differently. Nothing here is annualised. Any surface rendering a\ndistribution or yield figure must render ``sustain_gap_pct`` and\n``return_of_capital_pct`` beside it (spec §11, D3).",
"properties": {
"policy": {
"title": "Policy",
"type": "string"
},
"since": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Since"
},
"covered_12m": {
"default": false,
"title": "Covered 12M",
"type": "boolean"
},
"distributions_to_date_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Distributions To Date Pct"
},
"trailing_12m_yield_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Trailing 12M Yield Pct"
},
"sustain_gap_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Sustain Gap Pct"
},
"return_of_capital_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Return Of Capital Pct"
}
},
"required": [
"policy"
],
"title": "DistributionSummary",
"type": "object"
},
"Holding": {
"description": "One equity (or cash) position in today's snapshot.\n\n``weight_pct`` is the only position quantity that exists — no shares, no\ndollars, by construction of the tables themselves (the FIREWALL note on the\nmodel_portfolio_* DDL in data/db.py). ``side`` is 'long' (NULL = long) or\n'short', and ``weight_pct`` stays POSITIVE either way.\n\nDeliberately absent, all of which the ``list[dict]`` this replaced shipped:\n``rationale`` — engine text that names the selection mechanism and quotes\nits live cut-points (\"invest composite 72 (BUY); tech 68 / fund 55\",\n\"Donchian breakdown below the 200-SMA; 2N buy-stop $41.80\"), i.e. exactly\nthe disclosure ``_public_events`` rewrites event reasons to prevent, one\ntable over; ``metrics`` — the per-name selection metrics JSON, whose\npublishable aggregate is ``PortfolioMetrics`` below; ``stop_price`` and\n``target_price`` — the exit rule's live cut-points; and the row's internal\nidentity (``id`` / ``portfolio_id`` / ``run_id`` / ``recorded_at``).\n\n``assigned`` / ``effective_basis`` are the one allowlisted lift OUT of that\ndropped ``metrics`` block (data/reads.py::_assigned_view), and they are not an\nexception to the rule above: an assignment is an OUTCOME the event feed\nalready publishes in full, not a selection decision. Without them the single\nrow in the book that the picker did NOT choose arrives indistinguishable from\none it did — a new ticker with ``select_metric: null`` and no basis — which is\nthe whole of docs/subscriber_followability.md §5.",
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Name"
},
"sector": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sector"
},
"cluster": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Cluster"
},
"rank": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Rank"
},
"weight_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Weight Pct"
},
"side": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Side"
},
"price": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Price"
},
"entry_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Entry Date"
},
"select_metric": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Select Metric"
},
"sel_metric_kind": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sel Metric Kind"
},
"instrument_type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Instrument Type"
},
"assigned": {
"default": false,
"title": "Assigned",
"type": "boolean"
},
"effective_basis": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Effective Basis"
}
},
"required": [
"ticker"
],
"title": "Holding",
"type": "object"
},
"NavPoint": {
"description": "One session on the track record. ``nav`` is TOTAL return indexed to 100\nat inception and is never restated; ``capital_nav`` is the parallel curve a\nholder sees if they take the distributions out (docs/distribution_layer.md).\n``distribution_pct`` NULL means the book does not distribute at all — 0.0\nmeans it does and nothing settled this session.",
"properties": {
"nav_date": {
"title": "Nav Date",
"type": "string"
},
"nav": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Nav"
},
"daily_return_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Daily Return Pct"
},
"cum_return_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cum Return Pct"
},
"drawdown_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Drawdown Pct"
},
"benchmark_ret_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Benchmark Ret Pct"
},
"n_holdings": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "N Holdings"
},
"turnover_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Turnover Pct"
},
"distribution_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Distribution Pct"
},
"capital_nav": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Capital Nav"
},
"cum_distribution_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Cum Distribution Pct"
}
},
"required": [
"nav_date"
],
"title": "NavPoint",
"type": "object"
},
"NavWindow": {
"description": "MTD / 3M / 6M / 12M / ITD total return. ``covered`` False (with\n``return_pct`` None) means the record does not yet reach back past that\nwindow's cutoff — render it as unavailable, never as the ITD number.",
"properties": {
"label": {
"title": "Label",
"type": "string"
},
"return_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Return Pct"
},
"from_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "From Date"
},
"covered": {
"default": false,
"title": "Covered",
"type": "boolean"
},
"capital_return_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Capital Return Pct"
},
"distribution_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Distribution Pct"
}
},
"required": [
"label"
],
"title": "NavWindow",
"type": "object"
},
"OverlayLeg": {
"description": "One written CSP / covered-call leg currently open against the core.\n\nA leg carries the SAME ticker as the underlying it is written against and\nis sized by NOTIONAL, not book weight — the two must never be summed, which\nis why the read layer splits them out of ``holdings`` by ``instrument_type``.\n\n``premium_yield_pct`` and ``assignment_prob`` are 0-1 FRACTIONS, unlike\nevery other ``_pct`` field in this API (strategy/premium_overlay.py's\n``annual_yield`` / ``abs(delta)``) — clients must format them accordingly.",
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Name"
},
"instrument_type": {
"title": "Instrument Type",
"type": "string"
},
"instrument": {
"$ref": "#/$defs/Contract",
"default": {
"underlying": null,
"expiry": null,
"strike": null,
"right": null,
"multiplier": null,
"premium": null,
"dte": null,
"contract": null
}
},
"position_group": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Position Group"
},
"notional_weight_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Notional Weight Pct"
},
"premium_yield_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Premium Yield Pct"
},
"assignment_prob": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Assignment Prob"
},
"price": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Price"
}
},
"required": [
"ticker",
"instrument_type"
],
"title": "OverlayLeg",
"type": "object"
},
"PortfolioMetrics": {
"description": "Book-level aggregates over today's snapshot (data/reads.py's\n``_book_metrics``). The income figures are weight-weighted over the book's\nTOTAL weight, so an unmeasured name drags the average down rather than being\nassumed to yield like its peers.",
"properties": {
"n_holdings": {
"default": 0,
"title": "N Holdings",
"type": "integer"
},
"n_overlay": {
"default": 0,
"title": "N Overlay",
"type": "integer"
},
"sleeve_state": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sleeve State"
},
"total_weight_pct": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Total Weight Pct"
},
"weighted_select_metric": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Weighted Select Metric"
},
"sel_metric_kind": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sel Metric Kind"
},
"overlay_annual_yield": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Overlay Annual Yield"
},
"weighted_income_rate": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Weighted Income Rate"
},
"weighted_sustainable_yield": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Weighted Sustainable Yield"
},
"weighted_reinvest_required": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Weighted Reinvest Required"
},
"income_coverage": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Income Coverage"
},
"total_income_yield": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Total Income Yield"
},
"distribution": {
"anyOf": [
{
"$ref": "#/$defs/DistributionSummary"
},
{
"type": "null"
}
],
"default": null
}
},
"title": "PortfolioMetrics",
"type": "object"
},
"PortfolioRegistry": {
"description": "The book's registry row as its detail page sees it: the same\nmerchandising identity as ``ShelfCard``, plus the parsed construction and\nminus the per-caller flags (the detail endpoint's own gate already answered\nthose).",
"properties": {
"slug": {
"title": "Slug",
"type": "string"
},
"display_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Display Name"
},
"objective": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Objective"
},
"risk_tier": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Risk Tier"
},
"mechanism_blurb": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Mechanism Blurb"
},
"asset_class": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Asset Class"
},
"benchmark": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Benchmark"
},
"tier": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Tier"
},
"status": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Status"
},
"inception_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Inception Date"
},
"construction": {
"$ref": "#/$defs/PublicConstruction",
"default": {
"holdings_min": null,
"holdings_max": null,
"turnover_tier": null,
"exit_rule": null,
"distribution_policy": null
}
}
},
"required": [
"slug"
],
"title": "PortfolioRegistry",
"type": "object"
},
"PublicConstruction": {
"description": "The book's construction rules, trimmed to what is safe to publish — the\nsame set ``_PUBLIC_CONSTRUCTION_KEYS`` names in api/routers/portfolios.py,\nwhich stays the enforcing copy (it runs before this model is built).",
"properties": {
"holdings_min": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Holdings Min"
},
"holdings_max": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Holdings Max"
},
"turnover_tier": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Turnover Tier"
},
"exit_rule": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Exit Rule"
},
"distribution_policy": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Distribution Policy"
}
},
"title": "PublicConstruction",
"type": "object"
}
},
"title": "PortfolioBook"
}🟢rayana_ai_search(q, limit)
Resolve free text (ticker or company name) to known Rayana AI symbols, best match first. Pure resolution — never accrues signal.
입력 스키마
{
"type": "object",
"properties": {
"q": {
"title": "Q",
"type": "string"
},
"limit": {
"default": 8,
"title": "Limit",
"type": "integer"
}
},
"required": [
"q"
],
"title": "rayana_ai_searchArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"items": {
"$ref": "#/$defs/SearchMatch"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"$defs": {
"SearchMatch": {
"properties": {
"ticker": {
"title": "Ticker",
"type": "string"
},
"name": {
"default": "",
"title": "Name",
"type": "string"
}
},
"required": [
"ticker"
],
"title": "SearchMatch",
"type": "object"
}
},
"title": "rayana_ai_searchOutput"
}🟢rayana_ai_articles(slug, limit, offset)
The public articles feed, newest first, when ``slug`` is omitted; one published article's full body when ``slug`` is given.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Slug"
},
"limit": {
"default": 30,
"title": "Limit",
"type": "integer"
},
"offset": {
"default": 0,
"title": "Offset",
"type": "integer"
}
},
"title": "rayana_ai_articlesArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"anyOf": [
{
"$ref": "#/$defs/ArticlesResponse"
},
{
"$ref": "#/$defs/ArticleDetail"
}
],
"title": "Result"
}
},
"required": [
"result"
],
"$defs": {
"ArticleDetail": {
"properties": {
"slug": {
"title": "Slug",
"type": "string"
},
"ticker": {
"title": "Ticker",
"type": "string"
},
"headline": {
"title": "Headline",
"type": "string"
},
"dek": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Dek"
},
"body_md": {
"title": "Body Md",
"type": "string"
},
"trigger_type": {
"title": "Trigger Type",
"type": "string"
},
"published_at": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Published At"
},
"created_at": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Created At"
}
},
"required": [
"slug",
"ticker",
"headline",
"body_md",
"trigger_type"
],
"title": "ArticleDetail",
"type": "object"
},
"ArticleSummary": {
"properties": {
"slug": {
"title": "Slug",
"type": "string"
},
"ticker": {
"title": "Ticker",
"type": "string"
},
"headline": {
"title": "Headline",
"type": "string"
},
"dek": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Dek"
},
"trigger_type": {
"title": "Trigger Type",
"type": "string"
},
"published_at": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Published At"
}
},
"required": [
"slug",
"ticker",
"headline",
"trigger_type"
],
"title": "ArticleSummary",
"type": "object"
},
"ArticlesResponse": {
"properties": {
"count": {
"title": "Count",
"type": "integer"
},
"articles": {
"items": {
"$ref": "#/$defs/ArticleSummary"
},
"title": "Articles",
"type": "array"
},
"total": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Total"
},
"limit": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Limit"
},
"offset": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Offset"
}
},
"required": [
"count",
"articles"
],
"title": "ArticlesResponse",
"type": "object"
}
},
"title": "rayana_ai_articlesOutput"
}🟢rayana_ai_plans
What Rayana AI costs and what each tier unlocks. No API key needed — call this first if a research tool refused you for want of one. API and MCP access start at the Pro tier. Prices are USD; annual billing is ten months' price for twelve. Use ``rayana_ai_start_checkout`` to turn a choice here into a link your principal can open.
입력 스키마
{
"type": "object",
"properties": {},
"title": "rayana_ai_plansArguments"
}출력 스키마
{
"type": "object",
"properties": {
"plans": {
"items": {
"$ref": "#/$defs/Plan"
},
"title": "Plans",
"type": "array"
},
"currency": {
"title": "Currency",
"type": "string"
},
"annual_note": {
"title": "Annual Note",
"type": "string"
},
"pricing_url": {
"title": "Pricing Url",
"type": "string"
},
"checkout_url": {
"title": "Checkout Url",
"type": "string"
},
"access_note": {
"title": "Access Note",
"type": "string"
}
},
"required": [
"plans",
"currency",
"annual_note",
"pricing_url",
"checkout_url",
"access_note"
],
"$defs": {
"Plan": {
"properties": {
"tier": {
"enum": [
"free",
"standard",
"pro",
"elite"
],
"title": "Tier",
"type": "string"
},
"name": {
"title": "Name",
"type": "string"
},
"summary": {
"title": "Summary",
"type": "string"
},
"price_monthly_usd": {
"title": "Price Monthly Usd",
"type": "integer"
},
"price_annual_usd": {
"title": "Price Annual Usd",
"type": "integer"
},
"includes": {
"items": {
"type": "string"
},
"title": "Includes",
"type": "array"
},
"limits": {
"$ref": "#/$defs/PlanLimits"
},
"api_access": {
"title": "Api Access",
"type": "boolean"
}
},
"required": [
"tier",
"name",
"summary",
"price_monthly_usd",
"price_annual_usd",
"includes",
"limits",
"api_access"
],
"title": "Plan",
"type": "object"
},
"PlanLimits": {
"properties": {
"per_minute": {
"title": "Per Minute",
"type": "integer"
},
"per_day": {
"title": "Per Day",
"type": "integer"
}
},
"required": [
"per_minute",
"per_day"
],
"title": "PlanLimits",
"type": "object"
}
},
"title": "PlansResponse"
}🟢rayana_ai_start_checkout(tier, interval)
Get a link your principal opens in a browser to subscribe. No API key needed. Give them the URL — you cannot complete this yourself, and should not try: they sign in, accept the Terms and authenticate the payment. If the tier includes API access, their account page then shows a short pairing code; read it back into ``rayana_ai_complete_setup`` to get your API key without them pasting a secret into this conversation. **Standard does not include API or MCP access** — if the point of the purchase is a key for you, ask for pro or elite.
입력 스키마
{
"type": "object",
"properties": {
"tier": {
"default": "pro",
"enum": [
"standard",
"pro",
"elite"
],
"title": "Tier",
"type": "string"
},
"interval": {
"default": "month",
"enum": [
"month",
"year"
],
"title": "Interval",
"type": "string"
}
},
"title": "rayana_ai_start_checkoutArguments"
}출력 스키마
{
"type": "object",
"properties": {
"url": {
"title": "Url",
"type": "string"
},
"tier": {
"title": "Tier",
"type": "string"
},
"interval": {
"title": "Interval",
"type": "string"
},
"price_usd": {
"title": "Price Usd",
"type": "integer"
},
"next_steps": {
"items": {
"type": "string"
},
"title": "Next Steps",
"type": "array"
},
"pairing_note": {
"title": "Pairing Note",
"type": "string"
}
},
"required": [
"url",
"tier",
"interval",
"price_usd",
"next_steps",
"pairing_note"
],
"description": "What an agent hands its human to subscribe. Deliberately NOT a Stripe\nCheckout URL: this link lands on a Rayana page that signs the human in,\ntakes their assent to the Terms, and only then starts Stripe's own hosted\nCheckout. See api/mcp_server.py's `rayana_ai_start_checkout` for why the\nindirection is the point rather than an extra hop.",
"title": "CheckoutHandoff"
}🔴rayana_ai_complete_setup(code)
Exchange a pairing code from your principal's account page for an API key. Ask them to confirm before you call this: it issues a new key and immediately invalidates the account's previous one, so any other client already using a key will stop working until it is given the new value. The key comes back once and is not retrievable afterwards — only a hash of it is stored. Put it in the ``X-API-Key`` header on this connection and on any REST call. Codes are single-use, expire in 15 minutes, and are burnt after a few wrong guesses; if one is refused, ask for a fresh one rather than retrying.
입력 스키마
{
"type": "object",
"properties": {
"code": {
"title": "Code",
"type": "string"
}
},
"required": [
"code"
],
"title": "rayana_ai_complete_setupArguments"
}출력 스키마
{
"type": "object",
"properties": {
"api_key": {
"title": "Api Key",
"type": "string"
},
"tier": {
"title": "Tier",
"type": "string"
},
"rest_base_url": {
"title": "Rest Base Url",
"type": "string"
},
"mcp_url": {
"title": "Mcp Url",
"type": "string"
},
"header_name": {
"title": "Header Name",
"type": "string"
},
"note": {
"title": "Note",
"type": "string"
}
},
"required": [
"api_key",
"tier",
"rest_base_url",
"mcp_url",
"header_name",
"note"
],
"description": "The result of redeeming a pairing code: a usable API key, once.",
"title": "AgentSetup"
}커뮤니티
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