# Agent-Readiness Checker — is your site usable by AI agents? (`petteridev/agent-readiness-checker`) Actor Score any website for AI-agent readiness: MCP server, agent.json, llms.txt, OpenAPI, JSON-LD catalog and x402/MPP payments. Built by AsterPay. - **URL**: https://apify.com/petteridev/agent-readiness-checker.md - **Developed by:** [Petteri Leinonen](https://apify.com/petteridev) (community) - **Categories:** AI, Agents, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Agent-Readiness Checker **Is your website actually usable by AI agents? Score any domain in seconds.** AI agents (Cursor, Claude, ChatGPT, autonomous shopping/booking agents) can only transact with sites they can *discover, read, call, and pay*. This Actor scores any website 0-100 across both schools of agent integration and tells you exactly what to fix. Built by [AsterPay](https://asterpay.io) — the trust, discovery, and EUR-settlement layer for AI agent commerce. MIT-spirited, no telemetry beyond your own run. ### What it checks | Signal | Weight | Passes if... | |---|---|---| | **Discoverable** | 25 | `/.well-known/agent.json` is valid JSON **or** an MCP server is reachable | | **LLM-friendly** | 15 | `/llms.txt` exists and is non-empty | | **Catalog** | 20 | homepage has JSON-LD (`Product` / `Service` / `Offer` / ...) | | **Machine-callable API** | 15 | `/openapi.json` exists **or** an MCP endpoint answers | | **Agent-payable** | 25 | `/.well-known/x402.json` exists (partial 8 for a homepage mention) | **Buckets:** `0-39` invisible · `40-79` partial · `80-100` agent-ready. #### MCP detection (the part most checkers miss) MCP (Model Context Protocol) is the dominant way tools are exposed to agents, via a protocol handshake rather than static files. A site can be fully agent-ready over MCP and have no `agent.json`. This Actor detects MCP through: - an **MCP Server Card** at `/.well-known/mcp.json` (proposed [SEP-1649](https://github.com/modelcontextprotocol)); - a JSON-RPC `initialize` answered on `/mcp`; - the **`mcp.` subdomain** (`/mcp`, `/sse`, `/`) — including auth-gated servers that return a JSON `401/403` (as `mcp.stripe.com` and `mcp.apify.com` do). ### Input ```json { "urls": ["apify.com", "stripe.com", "yourbrand.com"], "checkMcpSubdomain": true } ```` - `urls` (array, required) — public domains or URLs to score. - `checkMcpSubdomain` (boolean, default `true`) — also probe `mcp.`. ### Output One dataset item per URL: ```json { "url": "https://apify.com/", "host": "apify.com", "score": 63, "bucket": "partial", "mcp": { "detected": true, "via": ["/mcp", "mcp.apify.com"] }, "signals": [ { "key": "discoverable", "weight": 25, "earned": 25 }, "..." ], "top_gaps": [ { "label": "Agent-payable", "hint": "..." } ], "cta": { "label": "Make your site agent-payable", "url": "https://asterpay.io/fixpack/" }, "checkedAt": "2026-07-01T19:00:00.000Z" } ``` ### Privacy & limits - No URL, score, or fetched content is stored beyond your own Apify dataset. - Each check makes a handful of bounded, time-limited GET/POST requests to public hosts only (SSRF-guarded; private/loopback/link-local ranges are refused). ### Get paid by the agents that find you Scoring high means agents can find and call you. To let them **pay** you — USDC/EURC settled to your bank in EUR via SEPA Instant, 0.5% per settlement, MiCA-aligned — see the [AsterPay Fix-Pack](https://asterpay.io/fixpack/). # Actor input Schema ## `urls` (type: `array`): One or more public domains or URLs to score for AI-agent readiness (e.g. yourbrand.com). ## `checkMcpSubdomain` (type: `boolean`): Also probe mcp. for an MCP server (Streamable HTTP / JSON-RPC handshake). Turn off to scan the exact host only. ## Actor input object example ```json { "urls": [ "apify.com", "stripe.com" ], "checkMcpSubdomain": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "apify.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("petteridev/agent-readiness-checker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": ["apify.com"] } # Run the Actor and wait for it to finish run = client.actor("petteridev/agent-readiness-checker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "apify.com" ] }' | apify call petteridev/agent-readiness-checker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=petteridev/agent-readiness-checker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Agent-Readiness Checker — is your site usable by AI agents?", "description": "Score any website for AI-agent readiness: MCP server, agent.json, llms.txt, OpenAPI, JSON-LD catalog and x402/MPP payments. Built by AsterPay.", "version": "0.1", "x-build-id": "UE8ORa15ilxVQsGii" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/petteridev~agent-readiness-checker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-petteridev-agent-readiness-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/petteridev~agent-readiness-checker/runs": { "post": { "operationId": "runs-sync-petteridev-agent-readiness-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/petteridev~agent-readiness-checker/run-sync": { "post": { "operationId": "run-sync-petteridev-agent-readiness-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "urls" ], "properties": { "urls": { "title": "Websites to check", "type": "array", "description": "One or more public domains or URLs to score for AI-agent readiness (e.g. yourbrand.com).", "items": { "type": "string" } }, "checkMcpSubdomain": { "title": "Probe the mcp. subdomain", "type": "boolean", "description": "Also probe mcp. for an MCP server (Streamable HTTP / JSON-RPC handshake). Turn off to scan the exact host only.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```