# Grade an AI agent deliverable against its spec

**Use case:** 

Checks a deliverable (text, copy, code output) against the job specification, scores each requirement, and returns a pass or fail verdict with a signed attestation. Use it as an automatic evaluator for agent-to-agent jobs, escrow release, freelance QA or ERC-8004 style validation. Example: a product description that must mention waterproof and lightweight.

## Input

```json
{
  "jobs": [
    {
      "spec": "Write a product description in English of at least 40 words. It must mention \"waterproof\" and \"lightweight\". Include a title.",
      "deliverable": "# TrailLite Jacket\n\nThe TrailLite is a waterproof, lightweight shell built for hikers who move fast. It packs into its own pocket, weighs 280 g and keeps you dry in sudden storms. The price is $129 with free returns for 30 days, and it comes in four colours for men and women.",
      "job_id": "42"
    }
  ],
  "attestationTokens": [],
  "maxQueries": 1000
}
```

## Output

```json
{
  "endpoint": {
    "label": "endpoint"
  },
  "input": {
    "label": "input"
  },
  "ok": {
    "label": "ok"
  },
  "result": {
    "label": "result"
  },
  "error": {
    "label": "error"
  },
  "charged_event": {
    "label": "charged_event"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Escrow Evaluator: Agent Deliverable Verdict (ERC-8183) Actor is ready to run with the inputs already set for "Grade an AI agent deliverable against its spec". [Sign up or log in](https://console.apify.com/create-task-from-example/GKCOUVELXbkt6JqUk) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Grade an AI agent deliverable against its spec" task

The Escrow Evaluator: Agent Deliverable Verdict (ERC-8183) Actor will start running based on the input automatically. You can also change all the input fields, like jobs to evaluate, attestation tokens to verify, and more, to match your specific use case.

### 3. Receive the "Grade an AI agent deliverable against its spec" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as endpoint, input, ok, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Grade an AI agent deliverable against its spec" task via API](https://apify.com/calcio_you/escrow-evaluator.md).

## About this Actor

This example demonstrates how to use [Escrow Evaluator: Agent Deliverable Verdict (ERC-8183)](https://apify.com/calcio_you/escrow-evaluator.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/calcio_you/escrow-evaluator.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/calcio_you/escrow-evaluator.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).