# AI Agent Readiness Score (`bmiller1009/ai-agent-readiness`) Actor

Score how easy a domain is for AI agents to discover, understand, access, cite, and interact with, across six weighted, evidence-backed categories.

- **URL**: https://apify.com/bmiller1009/ai-agent-readiness.md
- **Developed by:** [Sentinel Signal](https://apify.com/bmiller1009) (community)
- **Categories:** Developer tools, AI
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$150.00 / 1,000 completed readiness audits

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## AI Agent Readiness Score

Score how easy a domain is for AI agents to discover, understand, access, cite, and interact with — across six weighted, evidence-backed categories: Discoverability, Structured Understanding, API Accessibility, AI Crawler Accessibility, Content Quality, and Trust/Provenance.

### What it checks

- `robots.txt` coverage and AI-crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, and others)
- Sitemaps, canonical URLs, and machine-readable discovery signals (`llms.txt`, JSON-LD, OpenGraph)
- Public API surface discoverability and declared authentication
- Trust and provenance signals: about/contact/privacy/terms pages and structured provenance metadata

The Actor performs a live, deterministic audit through Sentinel Verify — it never requires the domain to already be registered anywhere, and a domain with no prior history still receives a full score.

### Pricing

**This is a paid, pay-per-event Actor: $0.15 per completed readiness audit.**

Exactly one `readiness-score` event is charged per run, only after a real result exists (`success` or a useful `partial`). There is no charge for invalid input, a target blocked by the public-network policy, or a run that fails before a result is produced.

### Input

- `domain` (required): a public domain or HTTPS origin to evaluate, e.g. `example.com`.
- `maxCrawlPages` (optional, default 40): upper bound on pages/resources fetched by the underlying collectors.

Example input:

```json
{
  "domain": "example.com",
  "maxCrawlPages": 40
}
```

### Output

The default dataset receives one result envelope per domain; `RUN_SUMMARY` in the default key-value store records processing, delivery, billing, dependency, and budget totals.

Representative abbreviated output (produced through the Actor's real service path):

```json
{
  "status": "success",
  "target": {"identifier": "example.com"},
  "result": {
    "domain": "example.com",
    "overallScore": 34.38,
    "categories": [
      {"category": "discoverability", "weight": 0.2, "score": 45.0},
      {"category": "structured_understanding", "weight": 0.2, "score": 10.0},
      {"category": "api_accessibility", "weight": 0.2, "score": 0.0},
      {"category": "ai_crawler_accessibility", "weight": 0.15, "score": 100.0},
      {"category": "content_quality", "weight": 0.15, "score": 30.0},
      {"category": "trust_provenance", "weight": 0.1, "score": 0.0}
    ],
    "findingCount": 6
  }
}
```

`restricted` means API-IFY rejected the target locally before calling Verify. `unreachable` means the domain could not be reached. `dependency_unavailable` means Verify was temporarily unavailable. Failures are isolated per target.

### How it works

This Actor is a thin wrapper around Sentinel Verify's `POST /v1/audits/readiness` endpoint — the same live-probe methodology used by Verify's own trust surfaces. Each domain is checked locally against API-IFY's public-network policy before being sent to Verify. Registry membership, if any, is used only as optional enrichment and never gates the audit.

### Limitations

- Public HTTPS domains only; private, loopback, link-local, metadata, reserved, and CGNAT targets are rejected.
- Audit availability depends on Sentinel Verify.

### Privacy and security

The target domain is sent to Sentinel Verify for analysis after local public-network validation. Results are stored in the customer's Apify run dataset and summary store. `VERIFY_CLIENT_ID`/`VERIFY_CLIENT_SECRET` are operator-managed Actor secrets used to obtain a short-lived Verify access token at runtime; `VERIFY_BASE_URL` is an operator setting, not an Actor input.

### Support

For a reproducible support request, provide the Apify run ID, result `itemId`, and status. Contact Sentinel Signal Systems through the support link on the Actor page.

# Actor input Schema

## `domain` (type: `string`):

A public domain or HTTPS origin to evaluate for AI/agent readiness, e.g. example.com.

## `maxCrawlPages` (type: `integer`):

Upper bound on the number of pages/resources fetched by the underlying collectors.

## Actor input object example

```json
{
  "maxCrawlPages": 40
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `runSummary` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("bmiller1009/ai-agent-readiness").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("bmiller1009/ai-agent-readiness").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call bmiller1009/ai-agent-readiness --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bmiller1009/ai-agent-readiness"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/nxGDM9GVSxV3cIJNz/builds/JXZJFdhigfefXa9nI/openapi.json