---
title: "AI Ark / Get a person's personality profile for outreach"
description: "AI Ark tool ai-ark-people-analysis on looot: input fields, $0.0539 per call, output shape, and code to run it with curl, JavaScript or Python."
sidebar:
  hidden: true
---

{/* Generated by scripts/generate-api-reference.mjs from data/api-reference.json. Do not edit. */}

Analyzes the skills, headline, and summary of a profile and returns a complete personality profile with ready-to-apply outreach guidance: DISC and OCEAN (Big Five) scores with an archetype label, plus selling and hiring blocks containing field-by-field email advice (subject, salutation, tone, length, bullet points, closing line), whatToSay / whatToAvoid talking points, and key decision traits (risk tolerance, decision speed, decision drivers). Pipe these into your email-generation prompts to personalize outreach at scale. Credit Usage: 4 credits per request. Related Endpoints: • People Search, find the people (and their LinkedIn URLs) first (0.5/result) • Export Single Person with Email, their BounceBan-verified email (1 credit) • Reverse People Lookup, identify a person from an email/phone before analyzing them (0.5/request) The header Content-Type: application/json must be included in the request.

- **Tool id:** `ai-ark-people-analysis`
- **Provider:** [AI Ark](/providers/ai-ark)
- **Job:** [Analysis people](/reference/jobs/people-analysis) (`people.analysis`)
- **Price:** $0.0539 per call. A call that fails at the provider costs $0.

## Inputs

| Name | Type | Required | Description |
| --- | --- | --- | --- |
| `url` | string | yes | The person's full LinkedIn profile URL. Provide <code>id</code> or <code>url</code>. |

## Output

Shape of the run's `result`, the expected shape, not yet checked against real answers:

```txt
{ model, score, hiring: { communication: { types: string[] } }, source: { refId, skills: string[], headline }, status, selling: { communication: { types: string[], whatToSay: string[] } }, success, assessments: { disc: {}, ocean: {}, archetype } }
```

## Run it

Every call needs your API token in `LOOOT_TOKEN`; [Sign in](/get-started/sign-in#use-the-token-in-scripts-and-agents) shows how to get one. Each run also needs a new idempotency key, so a retry never pays twice. With `wait: 30` the answer comes back inline when the run ends within 30 seconds. Otherwise you get the running run back: poll `GET /v1/runs/<runId>`.

Example input with placeholder values:

<CodeGroup>

```bash curl
curl -X POST "https://api.looot.ai/v1/runs" \
  -H "Authorization: Bearer $LOOOT_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{"endpointId":"ai-ark-people-analysis","input":{"url":"https://example.com"},"wait":30}'
```

```js JavaScript
const response = await fetch("https://api.looot.ai/v1/runs", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.LOOOT_TOKEN}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
  },
  body: JSON.stringify({
    endpointId: "ai-ark-people-analysis",
    input: {
      url: "https://example.com",
    },
    wait: 30,
  }),
});
const run = await response.json();
console.log(run.status, run.result);
```

```python Python
import os
import uuid

import requests

response = requests.post(
    "https://api.looot.ai/v1/runs",
    headers={
        "Authorization": f"Bearer {os.environ['LOOOT_TOKEN']}",
        "Idempotency-Key": str(uuid.uuid4()),
    },
    json={
        "endpointId": "ai-ark-people-analysis",
        "input": {
            "url": "https://example.com",
        },
        "wait": 30,
    },
    timeout=90,
)
run = response.json()
print(run["status"], run.get("result"))
```

</CodeGroup>

To let looot pick among every provider of this job instead, send `job:people.analysis` as `endpointId`; see [the job page](/reference/jobs/people-analysis).