# agentgrade > Lighthouse for AI agents. Scan any URL for a 0–100 agent-readiness score covering payment protocols, discovery files, MCP endpoints, OpenAPI, identity, and infrastructure. ## For AI agents If you are an agent helping a user improve their site's agent-readiness, follow these steps. 1. Scan the site: ```bash curl "https://agentgrade.com/api/scan?url=https://example.com" ``` The response is JSON with the shape: ```json { "score": { "pct": 0..100, "grade": "A".."F", "groups": [ ... ] }, "summary": "one-paragraph natural-language summary", "domain": "example.com", "checks": [ ... ] } ``` 2. Interpret the score: - score.pct is the percentage of weighted checks passed. - score.grade is the letter grade (A 90+, B 80+, C 70+, D 60+, F <60). - score.groups[] groups checks by topic (Discovery, Payment, Identity, etc.). - Each group has a kbSlug field pointing to the knowledge base article that explains it. 3. File remediation. For each failing check (passed: false): - Read the check.hint field — it contains the exact fix instructions. - Fetch the linked KB article for protocol details: curl "https://agentgrade.com/kb/" - Apply the smallest change that turns the check green, then rescan. 4. Prefer the compact endpoint for batch work: ```bash curl "https://agentgrade.com/api/v1/scan?url=https://example.com" ``` Returns flat JSON with score, grade, and passed-check count only. Faster, cheaper to parse. 5. For MCP-based tool use, call https://agentgrade.com/mcp with JSON-RPC 2.0. Available tools: - scan_url — full scan (same shape as GET /api/scan) - scan_compact — flat JSON, score-only - get_history — past scans for a domain - validate_x402_json — validate a /.well-known/x402.json document ## What agentgrade checks - x402, MPP, L402, SPT payment protocols (HTTP 402 headers, well-known endpoints, live probes) - Bazaar service catalogs (discoverable agentic endpoints) - MCP (Model Context Protocol) endpoints — Streamable HTTP and SSE - AI plugin / Claude manifests - OpenAPI specs, llms.txt, agents.txt, SKILL.md, A2A, WebMCP - Identity (WebFinger, DID, Nostr, AT Protocol) - Content negotiation, JS-rendering dependence, infrastructure hygiene ## API reference ``` GET /api/scan?url=... — full scan; each failing check includes a "hint" field GET /api/v1/scan?url=... — compact M2M scan (flat JSON) GET /api/badge?url=... — SVG badge for embedding GET /api/report?url=... — full report with historical comparison and delta GET /api/history?url=... — past scan summaries (requires database) GET /mcp — MCP tool manifest POST /mcp — JSON-RPC 2.0 tool calls GET /openapi.json — OpenAPI 3.0 spec GET /llms-full.txt — full text corpus for RAG ingestion (this file's companion) GET /health — health check ``` ## Badge Add an agentgrade badge to your README or landing page: Badge image URL: https://agentgrade.com/api/badge?url=https://YOURDOMAIN.COM Report link URL: https://agentgrade.com/s/YOURDOMAIN.COM Markdown: ```markdown [![agentgrade](https://agentgrade.com/api/badge?url=https://YOURDOMAIN.COM)](https://agentgrade.com/s/YOURDOMAIN.COM) ``` HTML: ```html agentgrade badge ``` Replace YOURDOMAIN.COM with your actual domain. The report URL uses /s/ (not /report/). ## Payment Payment gating for premium endpoints is planned but not currently active. All endpoints above are free. ## Example ```bash curl "https://agentgrade.com/api/scan?url=https://agent.news" ``` ## Knowledge Base - [Getting Started — Make Your Site Agent-Ready](https://agentgrade.com/kb/getting-started): Quick checklist to make your site discoverable and usable by AI agents. - [Understanding Your Score](https://agentgrade.com/kb/understanding-your-score): How agentgrade scores your site, what verified vs declared means, and how to improve. - [Cloudflare & Agent Access](https://agentgrade.com/kb/cloudflare-agent-access): Why Cloudflare blocks agent traffic and how to configure it for agent accessibility. - [Comparing Payment Protocols](https://agentgrade.com/kb/comparing-payment-protocols): x402 vs MPP vs L402 — when to use each machine payment protocol. - [About Scanning](https://agentgrade.com/kb/about-scanning): How agentgrade scans sites, what data it collects, and how to opt out. - [x402 — HTTP Payment Protocol](https://agentgrade.com/kb/x402): The HTTP 402 payment protocol that lets agents pay per-request with USDC on Base. Specification, comparison with traditional API monetization, ecosystem, and how to implement. - [MPP — Machine Payment Protocol](https://agentgrade.com/kb/mpp): Micropayment protocol using pathUSD on the Tempo network for sub-second agent payments. - [SPT — Stripe Shared Payment Tokens](https://agentgrade.com/kb/spt): Stripe card payments for AI agents via Shared Payment Tokens and the MPP 402 flow. - [How AI Agents Actually Browse the Web](https://agentgrade.com/kb/how-ai-agents-browse): How ChatGPT, Perplexity, and Gemini retrieve and process web content — and what it means for your site. - [L402 — Lightning Payments](https://agentgrade.com/kb/l402): Bitcoin Lightning Network payments for API access using macaroons and invoices. - [MCP — Model Context Protocol](https://agentgrade.com/kb/mcp): The open standard for connecting AI assistants to external tools. Spec, transport options, ecosystem, authentication, debugging, and how to implement an MCP server. - [x-payment-info — OpenAPI Payment Discovery](https://agentgrade.com/kb/x-payment-info): Pre-request payment discovery via OpenAPI extensions so agents know pricing before triggering a 402. - [Bazaar — Service Discovery](https://agentgrade.com/kb/bazaar): The x402 service catalog that lets agents discover and browse paid API endpoints. - [OpenAPI — API Specification](https://agentgrade.com/kb/openapi): Machine-readable API description that tells agents what endpoints exist and how to call them. - [llms.txt — LLM Context File](https://agentgrade.com/kb/llms-txt): Plain-text file that explains your service to large language models. - [llms-full.txt — Full Content for LLMs](https://agentgrade.com/kb/llms-full-txt): Companion to llms.txt: the entire site text concatenated into one file so non-browsing LLMs can ingest your content in a single fetch. - [agents.txt — Agent Access Policies](https://agentgrade.com/kb/agents-txt): Defines what AI agents are allowed to do on your service. - [Organization JSON-LD — Entity Graph for Agents](https://agentgrade.com/kb/organization-jsonld): Declare your site as a schema.org Organization with sameAs links to your other canonical surfaces. The linked-data signal LLMs use to consolidate scattered surfaces into one entity in their knowledge graph. - [robots.txt for Agents](https://agentgrade.com/kb/robots-txt): Agent-specific directives in robots.txt that signal your site welcomes AI crawlers. - [Identity Protocols](https://agentgrade.com/kb/identity): Decentralized identity standards that let agents verify who owns a domain. - [Skill file (SKILL.md)](https://agentgrade.com/kb/skills): A markdown file with YAML frontmatter that tells agents how to use your service. - [Content Negotiation for AI Agents](https://agentgrade.com/kb/content-negotiation): How to serve agent-optimized responses based on User-Agent and Accept headers. - [Web Bot Auth (RFC 9421)](https://agentgrade.com/kb/web-bot-auth): How AI agents prove their identity with cryptographic HTTP message signatures. - [A2A — Agent-to-Agent Protocol](https://agentgrade.com/kb/a2a): Google's protocol for AI agents to discover and communicate with other agents. - [WebMCP — Browser Agent Interaction](https://agentgrade.com/kb/webmcp): A W3C draft protocol that lets browser-based AI agents interact with websites through annotated forms. - [Infrastructure — Cache, Errors, Redirects](https://agentgrade.com/kb/infrastructure): HTTP-level behaviors agents rely on: cache headers, structured errors, HTTPS redirect, sitemap. - [JavaScript-Rendered Sites and Agent Visibility](https://agentgrade.com/kb/javascript-rendering): Why client-rendered SPAs are invisible to AI crawlers, what it does and does not break, and how to fix it.