xDEO — Earnings Oracle
Reputation-ranked analyst earnings estimates. Pay per call via x402 on Base.
Should I use this
Quality & Safety
Findings (5)
- LOWTool 'ticker_consensus' description lacks action verbin ticker_consensus
- LOWTool 'list_estimates' description lacks action verbin list_estimates
- LOWTool 'read_estimate' description lacks action verbin read_estimate
- LOWTool 'leaderboard' description lacks action verbin leaderboard
- LOWTool 'verdict' description lacks action verbin verdict
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"xdeo": {
"url": "https://xdeo.timothy-walton45.workers.dev/mcp"
}
}
}Remote endpoints
https://xdeo.timothy-walton45.workers.dev/mcpstreamable-httpWhat it can do
Tool inventory
Tools (8)
🟢list_tickers
List all tracked tickers. Free.
Input Schema
{
"type": "object",
"properties": {}
}⚪ticker_consensus(ticker)
Ticker details + free reputation-weighted consensus estimate.
Input Schema
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
}
},
"required": [
"ticker"
]
}🟢list_estimates(ticker, payment_token)
All estimates for a ticker. Costs 0.01 USDC via x402.
Input Schema
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
},
"payment_token": {
"type": "string",
"description": "base64 x402 payload"
}
},
"required": [
"ticker"
]
}🟢read_estimate(id, payment_token)
Full thesis for one estimate. Analyst-priced x402 payment.
Input Schema
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"payment_token": {
"type": "string"
}
},
"required": [
"id"
]
}🟡submit_estimate(ticker, analyst, metric, fiscal_year, fiscal_period, ...)
Submit an earnings estimate (opinion). Free; reputation is the stake.
Input Schema
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
},
"analyst": {
"type": "string",
"description": "0x address (Base)"
},
"metric": {
"type": "string",
"enum": [
"eps",
"revenue"
]
},
"fiscal_year": {
"type": "number"
},
"fiscal_period": {
"type": "string",
"enum": [
"Q1",
"Q2",
"Q3",
"Q4",
"FY"
]
},
"predicted": {
"type": "number"
},
"confidence": {
"type": "number"
},
"thesis": {
"type": "string"
},
"price_usdc": {
"type": "number"
}
},
"required": [
"ticker",
"analyst",
"fiscal_year",
"fiscal_period",
"predicted",
"thesis"
]
}⚪leaderboard(limit)
Global analyst reputation leaderboard. Free.
Input Schema
{
"type": "object",
"properties": {
"limit": {
"type": "number"
}
}
}🟡verdict(filingId)
Post-earnings scoreboard for a filing. Free.
Input Schema
{
"type": "object",
"properties": {
"filingId": {
"type": "string"
}
},
"required": [
"filingId"
]
}⚪ai_thesis(id, payment_token)
AI-synthesized investment thesis for one estimate. Combines the analyst's raw thesis, their historical accuracy, and (if scored) the actual SEC filing result into a structured analysis: summary, bull/bear case, key assumptions, risks, and confidence assessment. Costs 0.75 USDC via x402. Not investment advice.
Input Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "estimate ID"
},
"payment_token": {
"type": "string",
"description": "base64 x402 payload"
}
},
"required": [
"id"
]
}Community
Evidence