Pricing

from $0.00005 / actor start

Score Actors for AI Agents

Score any Actor on agent-readiness across 17 heuristics. Pass Actor slugs or Store URLs and get a 0–100 score, actionable fixes, a visual HTML report, and an Agent-ready badge returned as dataset items.

Pricing

from $0.00005 / actor start

Rating

0.0

(0)

Developer

Marcela K.

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

When to use this

To make sure AI agents can find and call Actor correctly
To get specific fixes with explanations why they matter for agents
To track agent-readiness over time. Re-run to see progress
To earn the Agent-ready badge for the README

What you get

Each scored Actor gets a 0–100 score, category breakdown, and a list of fixes with explanations why each one matters for AI agents.

For runs with 10 or fewer Actors, a visual HTML report is generated and available in the Key-Value Store tab after the run.

Score Actors for AI Agents report

Input

{
  "actors": ["apify/website-content-crawler"],
  "saveHistory": true
}

Accepts Actor slug, Apify Store URL, or .md URL. Use saveHistory: true to track progress over multiple runs.

Output

Each Actor gets:

overallScore – 0 to 100
score – Agent-ready · Almost there · Needs work · Not ready
categoryScores – breakdown across 4 categories
issues – specific fixes with why they matter
badge – markdown snippet if score is 90 or above

Agent-ready badge

Actors that score 90 or above get a badge to add to the README or Store description.

Built to the same standard it measures.

How scoring works

17 heuristics across 4 categories. Deterministic scoring. No LLM involved. Type-aware: MCP servers, standby Actors, and batch Actors are scored differently.

Discoverability – can an agent find this Actor?
Description clarity – does an agent understand when to use it?
Input schema usability – can an agent call it correctly?
Output predictability – can an agent plan what to do with the result?

Integration

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('marcelina-sylwia/actor-scoring-for-ai-agents').call({
  actors: ['apify/website-content-crawler'],
  saveHistory: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();

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