Exchange Arbitrage Agent

Prediction-market quotes, fill estimates and odds trends, paid per call with x402 USDC on Base.

Should I use this

Quality & Safety

A
Description quality
97%
Schema completeness
67%
Naming quality
97%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~505Tokens (tool definitions)
~473 BTypical response size
Minimal attention impact (0.39% of 128k context)

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": {
    "exchange-arbitrage-agent": {
      "url": "https://api-production-0b04.up.railway.app/mcp"
    }
  }
}

Remote endpoints

https://api-production-0b04.up.railway.app/mcpstreamable-http

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢get_status

Free: agent status, trading mode and kill-switch state. No account data.

Input Schema

{
  "type": "object",
  "properties": {},
  "title": "get_statusArguments"
}
🟢search_markets(q)

Free: search open prediction markets by text. Returns market ids, outcomes and token ids.

Input Schema

{
  "type": "object",
  "properties": {
    "q": {
      "title": "Q",
      "type": "string"
    }
  },
  "required": [
    "q"
  ],
  "title": "search_marketsArguments"
}
🟢get_quote(token_id)

Order-book quote for one outcome: best bid and ask, mid, spread and top five levels of depth. $0.005 USDC per call on Base. Live data, not advice.

Input Schema

{
  "type": "object",
  "properties": {
    "token_id": {
      "title": "Token Id",
      "type": "string"
    }
  },
  "required": [
    "token_id"
  ],
  "title": "get_quoteArguments"
}
⚪estimate_fill(token_id, shares)

Fill estimate for buying a number of shares of one outcome: VWAP, total cost and partial-fill status within a slippage cap. $0.01 USDC per call on Base. Not advice.

Input Schema

{
  "type": "object",
  "properties": {
    "token_id": {
      "title": "Token Id",
      "type": "string"
    },
    "shares": {
      "title": "Shares",
      "type": "number"
    }
  },
  "required": [
    "token_id",
    "shares"
  ],
  "title": "estimate_fillArguments"
}
🟢get_odds_trends(days, limit, team)

Stored odds-comparison snapshots from the arbitrage worker for trend analysis. $0.01 USDC per call on Base.

Input Schema

{
  "type": "object",
  "properties": {
    "days": {
      "default": 7,
      "title": "Days",
      "type": "integer"
    },
    "limit": {
      "default": 50,
      "title": "Limit",
      "type": "integer"
    },
    "team": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Team"
    }
  },
  "title": "get_odds_trendsArguments"
}
🟢get_odds_trends_summary(days, limit)

Aggregated edge trends per event from stored snapshots: min/max/avg taker edge and best expected maker edge. $0.01 USDC per call on Base.

Input Schema

{
  "type": "object",
  "properties": {
    "days": {
      "default": 7,
      "title": "Days",
      "type": "integer"
    },
    "limit": {
      "default": 50,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "get_odds_trends_summaryArguments"
}

Community

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Evidence

Recent observations

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