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$0.01 / agent readiness report

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AI Agent Readiness Audit for MCP & A2A

Try for free

Audit whether an API or repository is ready for machine discovery across OpenAPI, MCP, A2A, and Apify. Returns deterministic READY, PARTIAL, or BLOCKED findings with remediation.

Pricing

$0.01 / agent readiness report

Rating

0.0

(0)

Developer

Matteo Messina

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Developer tools

You can access the AI Agent Readiness Audit for MCP & A2A programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "files": {
12        "README.md": "# Example API\nUsage documentation",
13        "LICENSE": "MIT License",
14        "openapi.yaml": "openapi: 3.1.0\ninfo: {title: Example, version: 1.0.0}\npaths: {}"
15    }
16};
17
18// Run the Actor and wait for it to finish
19const run = await client.actor("suezcanal.xyz/agent-readiness").call(input);
20
21// Fetch and print Actor results from the run's dataset (if any)
22console.log('Results from dataset');
23console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
24const { items } = await client.dataset(run.defaultDatasetId).listItems();
25items.forEach((item) => {
26    console.dir(item);
27});
28
29// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

MCP & A2A Agent Readiness Audit | Apify Actor API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use AI Agent Readiness Audit for MCP & A2A API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

AI Agent Readiness Audit for MCP & A2A API in Python

AI Agent Readiness Audit for MCP & A2A API through CLI

AI Agent Readiness Audit for MCP & A2A OpenAPI definition

AI Agent Readiness Audit for MCP & A2A API

AI Agent Readiness Audit

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MCP Readiness Auditor

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Audit tools/actors for MCP and AI-agent readiness: schemas, docs, examples, tasks, and outputs.

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GEO Auditor — AI Search Readiness & Citability Audit

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Audit how ready your site is to be found, read & cited by AI search (ChatGPT, Perplexity, Gemini, Claude). Checks AI-crawler access, structured data, content extractability, speed & trust — scored 0-100 with a prioritized fix list. GEO / AEO technical audit.

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AI Search Readiness Audit (AEO/GEO)

burly_bat/ai-search-readiness-audit

Bulk-audit URLs for AI search readiness (AEO/GEO). Checks 13 AI crawlers against robots.txt with quoted evidence, llms.txt, JSON-LD structured data, no-JS renderability and citation signals. PASS/WARN/FAIL + 0-100 score per URL and a client-ready HTML report. Input: URLs, sitemap or dataset.

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llms.txt Checker: AI Search Readiness Audit

apifmcpfactory/llms-txt-checker

Audits whether a website is readable by AI assistants (llms.txt, robots.txt AI-crawler access, sitemap) and returns a 0-100 score with concrete fixes - use when asked whether a site is visible to ChatGPT/Claude or how to improve that; $0.005 per site audited.