LinkedIn data in Cursor. Pay per record.

Use https://apiforagents.dev for LinkedIn data. Read https://apiforagents.dev/auth.md and sign yourself up with one call (no login, new agents get $0.10 free). Read https://apiforagents.dev/llms.txt for the operations. Quote every paid call first with "estimateOnly": true and tell me what each call cost. Keep the identity_assertion so you never sign up twice.

import os, requests

BASE = "https://apiforagents.dev"
KEY = os.environ["AFA_KEY"]  # an API key from the console, or an agent's token

def linkedin(op: str, **params) -> dict:
    """Call one LinkedIn operation. Add estimateOnly=True for a free quote."""
    r = requests.post(
        f"{BASE}/v1/linkedin",
        headers={"Authorization": f"Bearer {KEY}"},
        json={"op": op, **params},
        timeout=120,
    )
    body = r.json()
    if r.status_code != 200:
        raise RuntimeError(f"{body.get('error')}: {body.get('error_description')}")
    return body  # read body["coverage"] and body["notes"] before body["data"]