# Score 3 demo companies

**Use case:** 

Try Hiring Intent Scorer on Stripe, Plaid, and Linear. Returns 0–100 buying-intent scores, stack/competitor mentions, and a why-now pitch from public Greenhouse, Lever, and Ashby jobs. One click — no setup.

## Input

```json
{
  "companies": [
    "stripe",
    "jobs.lever.co/plaid",
    "linear.app"
  ],
  "productDescription": "Observability platform for Kubernetes teams that cuts cloud costs.",
  "icpKeywords": [
    "kubernetes",
    "observability",
    "cost optimization",
    "SRE"
  ],
  "competitorTools": [
    "Datadog",
    "New Relic"
  ],
  "sinceDays": 7,
  "onlyChanged": false,
  "minScore": 0,
  "llmEnrich": false,
  "maxJobsPerCompany": 200,
  "atsProviders": [
    "greenhouse",
    "lever",
    "ashby"
  ]
}
```

## Output

```json
{
  "company": {
    "label": "Company",
    "format": "text"
  },
  "domain": {
    "label": "Domain",
    "format": "text"
  },
  "ats": {
    "label": "ATS",
    "format": "text"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "icpFitScore": {
    "label": "ICP fit",
    "format": "number"
  },
  "openRoles": {
    "label": "Open roles",
    "format": "number"
  },
  "newRoles7d": {
    "label": "New roles in window",
    "format": "number"
  },
  "newRolesSinceLastRun": {
    "label": "New since last run",
    "format": "number"
  },
  "closedSinceLastRun": {
    "label": "Closed since last run",
    "format": "number"
  },
  "competitorToolsMentioned": {
    "label": "Competitors",
    "format": "array"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "whyNowPitch": {
    "label": "Why now",
    "format": "text"
  }
}
```

## How it works

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

The Hiring Intent Scorer Actor is ready to run with the inputs already set for "Score 3 demo companies". [Sign up or log in](https://console.apify.com/create-task-from-example/9JN89tOIhvFjK6C2i) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Score 3 demo companies" task

The Hiring Intent Scorer Actor will start running based on the input automatically. You can also change all the input fields, like companies, your product description, and more, to match your specific use case.

### 3. Receive the "Score 3 demo companies" 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 company, domain, ATS, 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 "Score 3 demo companies" task via API](https://apify.com/rational_opaque/hiring-intent-scorer.md).

## About this Actor

This example demonstrates how to use [Hiring Intent Scorer](https://apify.com/rational_opaque/hiring-intent-scorer.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rational_opaque/hiring-intent-scorer.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/rational_opaque/hiring-intent-scorer.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`).