ResultRail by LarryBuildsAI

Community
Python

Pay-per-success public-data result packs with source URLs, confidence, timestamps, stop conditions, and receipt hashes for AI agents.

About ResultRail by LarryBuildsAI MCP Server

Pay-per-success public-data result packs with source URLs, confidence, timestamps, stop conditions, and receipt hashes for AI agents.

Features

Tools

Transport

streamable-http
Getting Started

Use the streamable HTTP MCP endpoint at https://x402-resource-scanner.vercel.app/resultrail/mcp. Start with quote_data_result for a free quote, then call a paid result tool only after accepting the x402 payment terms returned by the endpoint.

Tools (3)
Functions this server exposes to AI clients

quote_data_result

Free pre-payment quote for one public-data result, including price, paid endpoint, success contract, and max-price fit.

enrich_domain_result

Paid public domain result pack with title, description, industry guess, useful paths, sources, confidence, and receipt hash.

extract_url_result

Paid public URL extraction with title, description, headings, text preview, links, confidence, and receipt hash.

Compatible With
Claude Desktop
Cursor
VS Code