StockMarketScan

Minimal sanity check. Returns { status, version, timestamp, cache_size }. No auth needed. Use this to verify the MCP server is reachable and responsive.

{
  "type": "object",
  "properties": {},
  "required": []
}

Return metadata for all 24 stock screeners on the platform, including each screener's slug, name, description, category, and tier. Use this to discover which screeners are available before calling get_screener_data. Call this once per session — the list changes very rarely. Returns { tier, total, accessible, screeners: [...] }.

{
  "type": "object",
  "properties": {},
  "required": []
}

Return the current rows of a single stock screener for its latest data date. Use this when the user asks about a specific screener like 'hot prospects' or 'golden cross'. Common slugs: hot-prospects, golden-cross, death-cross, rsi-oversold, rsi-overbought, defensive-stocks, dividend-prospects, j-pattern, nearing-6-month-highs, week-52-high-top-picks, top-penny-pops, strong-volume-gains, top-tech-stocks, fundamentally-fine, income-and-growth, best-reits. If you don't know the slug, call list_screeners first. Returns { screener, pagination, data: [stock rows] }.

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "description": "The screener slug, e.g. 'hot-prospects', 'golden-cross', 'rsi-oversold'"
    },
    "page": {
      "description": "Page number (1-based)",
      "default": 1,
      "type": "integer",
      "minimum": 1,
      "maximum": 10000
    },
    "limit": {
      "description": "Rows per page (max 500)",
      "default": 50,
      "type": "integer",
      "minimum": 1,
      "maximum": 500
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Find stocks that appear in multiple screeners simultaneously. Powerful for high-confidence picks where the user wants confluence across strategies. Use when the user asks 'which stocks are in both X and Y' or 'find stocks in 3+ bullish screeners'. Returns { screeners_queried, mode, count, symbols: [{symbol, screeners, match_count}] }. Intersection mode returns only stocks in ALL listed screeners; union returns stocks in ANY.

{
  "type": "object",
  "properties": {
    "screener_slugs": {
      "minItems": 1,
      "maxItems": 24,
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "List of screener slugs to query (1-24)"
    },
    "mode": {
      "description": "intersection = stocks in ALL screeners; union = stocks in ANY screener",
      "default": "intersection",
      "type": "string",
      "enum": [
        "intersection",
        "union"
      ]
    },
    "limit": {
      "default": 50,
      "type": "integer",
      "minimum": 1,
      "maximum": 500
    }
  },
  "required": [
    "screener_slugs"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return all chart patterns currently detected for a single stock symbol. Detectable pattern ids: double_top, double_bottom, triple_top, triple_bottom, head_shoulders, inv_head_shoulders, round_bottom, cup_handle, asc_triangle, desc_triangle, sym_triangle, channel_up, channel_down, rectangle, flag, wedge_rising, wedge_falling, abcd, gartley, bat, butterfly, crab, impulse_wave, corrective_wave. Use when the user asks 'what patterns does X have' or 'is X forming a head and shoulders'. Requires a Basic or Pro API key. Returns { symbol, interval, computedAt, candleCount, patterns: [...] }. Empty patterns array if none detected.

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker, e.g. AAPL, TSLA, MSFT"
    },
    "interval": {
      "description": "Chart interval",
      "default": "1d",
      "type": "string",
      "enum": [
        "1d",
        "1wk"
      ]
    }
  },
  "required": [
    "symbol"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Find all stocks across one or more screeners that currently exhibit specific chart patterns. Much faster than calling get_chart_patterns in a loop. Use when the user asks 'which stocks have a cup and handle' or 'find me hot prospects with bullish reversal patterns'. Requires a Basic or Pro API key. Results are capped per screener group via `limit` (default 100); capped groups carry `truncated: true`. Returns { interval, selectedPatterns, totalUniqueStocks, groups: [...] }.

{
  "type": "object",
  "properties": {
    "screener_slugs": {
      "minItems": 1,
      "maxItems": 24,
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Screener slugs to search within"
    },
    "pattern_ids": {
      "description": "Pattern ids to filter by. Empty = all patterns. Valid ids: double_top, double_bottom, triple_top, triple_bottom, head_shoulders, inv_head_shoulders, round_bottom, cup_handle, asc_triangle, desc_triangle, sym_triangle, channel_up, channel_down, rectangle, flag, wedge_rising, wedge_falling, abcd, gartley, bat, butterfly, crab, impulse_wave, corrective_wave",
      "default": [],
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "interval": {
      "description": "Chart interval",
      "default": "1d",
      "type": "string",
      "enum": [
        "1d",
        "1wk"
      ]
    },
    "limit": {
      "description": "Max matching stocks per screener group (default 100)",
      "default": 100,
      "type": "integer",
      "minimum": 1,
      "maximum": 500
    }
  },
  "required": [
    "screener_slugs"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return the daily options flow table for one trading day — aggregated call/put volume, premium, implied volatility, and consecutive-day streaks for every notable symbol. Use when the user asks 'what's the options flow today' or 'show me the top premium plays'. Each row includes call_put_volume_ratio (bullish if > 1.0), consecutive_days (streak length), total_premium (dollar size), call_avg_iv/put_avg_iv. Returns { date, sort, limit, data: [...], stats, dates }. Tier: Pro only — Basic users get 403.

{
  "type": "object",
  "properties": {
    "date": {
      "description": "Trading day (YYYY-MM-DD). Default = latest available day.",
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "sort": {
      "description": "Sort order: streak=longest streaks first, volume=highest volume, callput=most extreme C/P, premium=biggest dollar",
      "default": "streak",
      "type": "string",
      "enum": [
        "streak",
        "volume",
        "callput",
        "premium"
      ]
    },
    "limit": {
      "description": "Rows to return (max 500)",
      "default": 100,
      "type": "integer",
      "minimum": 1,
      "maximum": 500
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return the historical options flow for a single stock — most recent days first. Use when the user asks 'show me X's options flow history' or 'how long has X been bullish'. Returns { symbol, limit, count, data: [daily rows, newest first] }. Tier: Pro only.

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker"
    },
    "limit": {
      "description": "Days of history (max 365)",
      "default": 60,
      "type": "integer",
      "minimum": 1,
      "maximum": 365
    }
  },
  "required": [
    "symbol"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return ranked options flow entries for a date range — the entries that stand out by long consecutive-day streaks, large premium, and screener confluence. Each entry includes data-only performance tracking measured from a realistic entry reference: entry_price = open of the trading day AFTER signal_date (the close of signal_date is unreachable for live trading). max_gain_pct/max_drawdown_pct/price_change_pct are computed against entry_price; if that day's US open hasn't happened yet, these fields and entry_price are null ('pending'). This is descriptive market data for your own research, not a recommendation. If date_from/date_to omitted, returns last 60 days. Returns { count, signals: [...] }. Tier: Pro only.

{
  "type": "object",
  "properties": {
    "date_from": {
      "description": "Start date (YYYY-MM-DD)",
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "date_to": {
      "description": "End date (YYYY-MM-DD)",
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "limit": {
      "description": "Max signals returned (default 500)",
      "default": 500,
      "type": "integer",
      "minimum": 1,
      "maximum": 2000
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return daily options market sentiment — one row per trading day. Combines NYSE/NASDAQ market breadth (advance/decline + new highs/lows) with the market-wide call/put ratio. Each row includes market_breadth_score (0-100), market_call_put_ratio, the daily filter context (bullish_only/bearish_only/mixed), bullish_count/bearish_count of signals that day, plus a derived sentiment_score (0-100) and sentiment_label (bullish/neutral/bearish). Use when the user asks 'what's market sentiment today', 'how bullish is the market', 'show me sentiment over the last week'. If date_from/date_to omitted, returns last 60 days. Returns { dateFrom, dateTo, count, data: [...] }. Tier: Pro only.

{
  "type": "object",
  "properties": {
    "date_from": {
      "description": "Start date (YYYY-MM-DD)",
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "date_to": {
      "description": "End date (YYYY-MM-DD)",
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return individual options contracts flagged as unusual (Vol/OI > 1.5). Each row is one contract, not one stock. Use when the user wants contract-level detail. Filter by symbol, side (call/put/both), minimum vol/oi, minimum premium, or max days to expiration. For aggregated stock-level flow use get_options_flow_overview instead. Returns { date, count, contracts: [...] }.

{
  "type": "object",
  "properties": {
    "symbol": {
      "description": "Filter to one symbol",
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$"
    },
    "side": {
      "default": "both",
      "type": "string",
      "enum": [
        "call",
        "put",
        "both"
      ]
    },
    "min_vol_oi": {
      "default": 1.5,
      "type": "number",
      "minimum": 0
    },
    "min_premium_usd": {
      "default": 25000,
      "type": "number",
      "minimum": 0
    },
    "max_dte": {
      "type": "integer",
      "minimum": 0,
      "maximum": 9007199254740991
    },
    "limit": {
      "default": 300,
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return basic metadata for a stock — full company name, exchange, industry, last close price, and percent change. Use this when you first encounter a symbol and need to identify it. Lighter than get_stock_report (composite) or get_candles (full history). Returns { symbol, symbol_name, last_price, percent_change, exchange, industry }. Returns NOT_FOUND for unknown tickers.

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker, e.g. AAPL"
    }
  },
  "required": [
    "symbol"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return OHLCV price candles for a single stock. Use when you need price history to compute indicators or answer 'how much is X up this month'. time is a Unix epoch in seconds (UTC midnight for daily). Default range is 6mo. Use larger ranges like '1y' or '2y' only when the user explicitly asks for long history — max range is 20 years. Returns { symbol, interval, range, count, data: [{time, open, high, low, close, volume}] }.

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker"
    },
    "interval": {
      "description": "Daily or weekly candles",
      "default": "1d",
      "type": "string",
      "enum": [
        "1d",
        "1wk"
      ]
    },
    "range": {
      "description": "Range: 1d, 5d, 1y, 2y, 5y, max, or {N}mo (1-240)",
      "default": "6mo",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Search for stocks by ticker prefix or company name. THE tool to use when the ticker is unknown ('what's the symbol for Palantir?') or ambiguous — resolve the name to a symbol here, then use get_stock_info / get_stock_report with the symbol. No API key required. Returns { query, count, data: [{symbol, name}] } ordered by best match.

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "maxLength": 60,
      "description": "Symbol prefix or part of the company name, e.g. 'Apple' or 'NVD'"
    },
    "limit": {
      "description": "Max results (default 10)",
      "default": 10,
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "query"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return a comprehensive report on a single stock in one call — metadata, screener appearances, chart patterns, options flow, signal status, price summary, and upcoming earnings. THIS IS THE PREFERRED FIRST TOOL when a user asks about a single stock. It replaces 5-7 separate tool calls (get_stock_info + get_chart_patterns + get_options_flow_timeline + get_options_flow_ranked + screener lookups + get_candles). Do NOT also call the primitives after calling this — the composite already has everything. Parallel fetch under the hood, graceful partial failures (if one source errors, that section returns null with a note). Returns { symbol, info, screeners, patterns, options_flow, signal, candle_summary, upcoming_earnings, overall_bias }. overall_bias is a heuristic hint, not financial advice.

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string",
      "pattern": "^[A-Z0-9.^=\\-]{1,20}$",
      "description": "Stock ticker, e.g. AAPL"
    },
    "interval": {
      "description": "Pattern detection interval",
      "default": "1d",
      "type": "string",
      "enum": [
        "1d",
        "1wk"
      ]
    }
  },
  "required": [
    "symbol"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Find the strongest trading setups today by combining options flow signals and screener confluence into a ranked list. Use when the user asks 'what should I trade today', 'best setups', 'top bullish plays'. Returns a ranked list with a composite score (signal strength + screener confluence + streak length). Present the top 3-5 to the user with narrative context, don't dump the raw JSON. Use get_stock_report if the user wants to dig deeper into any specific result. Returns { side, date, count, setups: [{symbol, score, signal, screeners_hit, ...}] }.

{
  "type": "object",
  "properties": {
    "side": {
      "description": "Side of setups to return",
      "default": "bullish",
      "type": "string",
      "enum": [
        "bullish",
        "bearish"
      ]
    },
    "limit": {
      "description": "Max setups to return",
      "default": 20,
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return NYSE and NASDAQ market breadth data — advancing/declining issues, new highs/lows, percent advancing. Use when the user asks 'how's the market today' or 'is breadth strong'. Default (no params): last 7 trading days. Returns { dates, count, data: [{exchange, advancing_issues, declining_issues, new_highs, new_lows, percent_advancing_issues, data_date}] }. Two rows per date (NYSE + NASDAQ). Tier: Basic+.

{
  "type": "object",
  "properties": {
    "date": {
      "description": "Single day (YYYY-MM-DD)",
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "date_from": {
      "description": "Range start",
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "date_to": {
      "description": "Range end",
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return AI-detected trending topics in tech & science, patents, or funding events. Use when the user asks 'what's trending in tech' or 'show me patent trends'. Returns { category, count, trends: [{date, topic, weight}] } where weight is 0-1. Tier: Pro only.

{
  "type": "object",
  "properties": {
    "category": {
      "description": "Trend category",
      "default": "techscience",
      "type": "string",
      "enum": [
        "techscience",
        "patents",
        "fundingevents"
      ]
    },
    "days": {
      "description": "Lookback window",
      "default": 10,
      "type": "integer",
      "minimum": 1,
      "maximum": 180
    },
    "latest": {
      "description": "If true, only return most recent day",
      "default": false,
      "type": "boolean"
    },
    "date": {
      "description": "Exact date lookup",
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return AI-computed connections between trending topics across categories (tech → patents, tech → funding, etc). Useful for spotting meta-trends. Use when the user asks 'what trends are connected' or 'show me cross-category signals'. Returns { count, connections: [{source_category, source_topic, target_category, target_topic, strength, rationale}] }. Tier: Pro only.

{
  "type": "object",
  "properties": {
    "days": {
      "default": 14,
      "type": "integer",
      "minimum": 1,
      "maximum": 90
    },
    "latest": {
      "default": false,
      "type": "boolean"
    },
    "date": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$"
    },
    "limit": {
      "description": "Max connections returned (default 200)",
      "default": 200,
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Return a plain-language explanation of a platform-specific term, metric, or screener. Use ONLY for terms that are specific to StockMarketScan (e.g. 'strength_score' which is our internal scoring, or 'hot_prospects' which is our curated screener). Do NOT use for generic finance terms the model already knows — answer those directly. Returns { term, title, explanation, interpretation, related_terms }.

{
  "type": "object",
  "properties": {
    "term": {
      "type": "string",
      "minLength": 1,
      "description": "Term to explain, e.g. 'call_put_ratio', 'golden_cross', 'consecutive_days', 'strength_score', 'vol_oi_ratio', 'streak'"
    }
  },
  "required": [
    "term"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}