Financial Data API

Financial Data API for AI Agents

Give your LLM, agent, or copilot real-time market data. Structured JSON. No hallucinations. MCP-ready.

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Why AI agents need structured data

No hallucinations. Typed JSON. Deterministic.

01

No hallucinations

Agents get real numbers from the API, not invented data. Every response is verifiable.

02

Typed JSON

Consistent schemas. No parsing hacks. Function calling and tool use work out of the box.

03

Deterministic

Same query, same result. Reproducible reasoning for audits and compliance.

Model Context Protocol

MCP integration in one line

claude_desktop_config.json

  "mcpServers"
    "eulerpool"
      "url" "https://mcp.eulerpool.com/sse"
      "headers"
        "Authorization" "Bearer ep_live_xxx"
Connected — 47 tools available

OpenAI function calling

Tool use example

JavaScript
// OpenAI function calling with Eulerpool
const tools = [{
  type: "function",
  function: {
    name: "get_financials",
    description: "Get company financials from Eulerpool",
    parameters: {
      type: "object",
      properties: {
        ticker: { type: "string" }
      }
    }
  }
}];

// Agent calls Eulerpool, returns structured data
const result = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Analyze Apple's financials" }],
  tools
});

Features

Built for AI workflows

01

Structured schemas

Every endpoint returns consistent JSON. OpenAPI spec for codegen.

02

Bulk endpoints

Query up to 100 symbols in one call. Fewer round-trips.

03

Streaming

WebSocket for real-time quotes. Sub-10ms latency.

04

Free tier

1,000 calls/day. No credit card. Every agent gets access.

Frequently asked questions

AI agents can access Eulerpool via the native MCP (Model Context Protocol) server or the REST API. The MCP server works with Claude, Cursor, Windsurf, and any MCP-compatible agent. Every endpoint returns structured JSON that LLMs can parse directly — no scraping or HTML parsing needed.

The MCP server is a bridge between AI agents and the Eulerpool API. It exposes financial data as tools that LLMs can call autonomously — get stock prices, query fundamentals, analyze markets. Install it via npm and configure it with your API key. The agent handles tool selection and parameter construction.

Yes. AI agents can call the price and quote endpoints to get real-time market data. The structured JSON response (ticker, price, change, volume, timestamp) is optimized for LLM consumption. Agents can chain multiple calls to compare stocks, analyze sectors, or build reports.

Yes. Every endpoint returns consistent, typed JSON with predictable schemas. Error responses include machine-readable codes. Rate limits are generous (1,000 calls/day on free tier). This makes it reliable for autonomous agents that need to make decisions based on financial data without human intervention.

Eulerpool works with any AI framework — LangChain, CrewAI, AutoGPT, custom agents, and any MCP-compatible system. The REST API is framework-agnostic. The MCP server specifically targets Claude, Cursor, and Windsurf for native tool use. Python and JavaScript SDKs integrate with all major agent frameworks.

Give your AI agent real-time market data.

Get your free API key

No credit card required. MCP server included.

Explore More

Tools

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SDKs

Python SDK

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Use Cases

Fintech Apps