About market-data
market-data is a hosted MCP server providing quality-flagged historical crypto and US equity data for trading-bot and AI-agent builders. Its bars are traceable and cross-checked, with tools to inspect data quality before backtesting.
Key features
- 01Quality-flagged OHLCV candles
- 02Crypto and US equity history
- 03Funding, open interest, and order flow
- 04Leakage-safe feature matrices
- 05Backtest data validation
Use cases
- 01Filter historical bars before strategy tests
- 02Check data gaps and quality flags for a date range
- 03Fetch funding and open-interest history
MCP support
It exposes market-data tools through the hosted Streamable HTTP endpoint `https://iturri.ai/mcp`. Paid calls can return x402 payment quotes for payment-capable agents.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://iturri.ai/mcpclaude mcp add --transport http ai-iturri-market-data https://iturri.ai/mcp{"mcpServers":{"ai-iturri-market-data":{"type":"http","url":"https://iturri.ai/mcp"}}}Open in Cursor{"servers":{"ai-iturri-market-data":{"type":"http","url":"https://iturri.ai/mcp"}}}Open in VS Code{"mcpServers":{"ai-iturri-market-data":{"type":"http","url":"https://iturri.ai/mcp"}}}{"mcpServers":{"ai-iturri-market-data":{"serverUrl":"https://iturri.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://iturri.ai/mcpAuth requiredTools
22This tool takes no parameters.
Details
From the project READMEIturri MCP server — verified market data for AI agents
Hosted MCP server. No install, nothing to run — connect to https://iturri.ai/mcp.
Iturri is a data library for trading-bot and AI-agent builders: verified crypto and US-equity history, leakage-safe features, and an agent-native API. Coverage is deliberately narrow — 120 liquid symbols (34 crypto since 2015-12 at 1m/5m/15m/1h/1d, 86 US stocks & ETFs EOD since 2016), not tens of thousands of tickers. Every candle is traceable to a SHA-256-checksummed primary source, cross-checked against a second primary venue, and shipped with a data card. Data is T+1 fresh (candles refresh daily at 08:30 UTC); this is history you can trust, not a real-time stream.
Why per-bar quality flags matter for agents
Free data sources silently patch gaps and restate history, and an agent has no way to know. Iturri never patches silently: every bar carries its own verdict — verified, raw, reconciled, interpolated, disputed, or outage — so an agent can filter to verified bars in one step, or call validate_backtest_data and read the coverage, flag distribution, gaps, and warnings for a range before trusting a backtest result. 99.8%+ of the 124.5M+ crypto bars carry the verified flag, backed by published audit numbers (BTC: 87,643 bars, 100.00% agreement with Coinbase Exchange; cross-timeframe 1m→1h audit 98.95% exact / 99.93% in-band over 2.4M hours).
Connect
The endpoint is streamable HTTP: https://iturri.ai/mcp (JSON-RPC 2.0 over POST; GET /mcp returns a human/agent-readable descriptor).
Claude Desktop
Add to claude_desktop_config.json (see examples/claude_desktop_config.json):
{
"mcpServers": {
"iturri": {
"type": "http",
"url": "https://iturri.ai/mcp",
"headers": { "Authorization": "Bearer <membership token — optional>" }
}
}
}
Claude Code
claude mcp add --transport http iturri https://iturri.ai/mcp
Any other MCP client
Point a streamable-HTTP MCP client at https://iturri.ai/mcp. Optionally send Authorization: Bearer <membership token>. Omit the header and paid tools return x402 quotes that payment-capable agents settle per call (x402 MCP transport, _meta["x402/payment"]).
Then ask the model to call describe_catalog (free) and go from there.
The 11 tools
| Tool | What it does | Price |
|---|---|---|
describe_catalog | Symbols, coverage, pricing, quality legend | free forever |
get_bars | Quality-flagged OHLCV, 1m/5m/15m/1h/1d | $0.001 per 1,000 candles |
get_features | Leakage-safe feature matrices (19 features) | $0.01/call |
get_funding | Funding-rate history from listing date | $0.005/call |
get_open_interest | Hourly open interest history | $0.005/call |
get_orderflow | Taker buy/sell order-flow imbalance | $0.005/call |
get_context | Market context series (Fear & Greed, VIX, DXY…) | $0.005/call |
get_events | Curated events with surprise factors and measured impacts | $0.01/call |
get_regime_label | Descriptive market-regime lookup for a timestamp (never a prediction) | $0.01/call |
validate_backtest_data | Audits our data for a range: coverage, flag distribution, gaps, warnings — before you trust a result | $0.01/call |
build_bundle | Builds dataset/pack SKUs, returns signed URLs | priced as the SKU |
Payments — no accounts, no API keys
- x402 per call (agents). Any priced tool returns an x402 v2 quote (USDC on Base). A payment-capable agent signs the authorization, retries, gets data. Gasless for the payer; settles on-chain with a receipt. Minimum $0.001 per paid call; empty results are free. An agent can even buy its own membership:
POST /api/subscribe, pay $39 via x402, receive the token — no human in the loop. - Membership token. $39/month or $349/year — a bearer token that makes all metered API/MCP calls free (training-pack SKUs stay pay-per-sale). Humans: iturri.ai/subscribe (one MetaMask signature via EIP-3009). Renew by paying again — the token is the membership. No card, no account, no KYC.
describe_catalogis free forever — discovery costs nothing.
Example conversation
User: Is Iturri's SOL hourly data clean enough to backtest over 2023?
Claude: (calls
describe_catalog— free — confirms SOL 1h coverage; then callsvalidate_backtest_datafor SOL/1h/2023-01-01→2024-01-01) The quality report shows the coverage for that range, the per-flag distribution, and any gaps or warnings. If the verified share is high and there are no warnings, fetching the bars withget_barsand filtering toverifiedgives you an honest backtest input. I can pull the bars next — that call is priced at $0.001 per 1,000 candles.
Links
- Site: https://iturri.ai/
- Docs / build roadmap: https://iturri.ai/build
- OpenAPI spec: https://iturri.ai/openapi.json
- llms.txt: https://iturri.ai/llms.txt
- MCP tutorial: https://iturri.ai/blog/connect-trading-data-to-claude-mcp
- Sourcing & verification policy: https://iturri.ai/sourcing
- Free catalog: https://iturri.ai/api/catalog
- Contact: [email protected]
Hard line: Iturri sells data and tooling only. Nothing in any dataset, feature, label, or tool is a trading signal, a prediction, or financial advice. Verified history describes the past; it promises nothing about the future.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.