People Intel
built on linkedin leads · scored by people intel

Judgment on people,
at the speed of agents.

Paste a list of LinkedIn URLs. Get a clean dossier with judgment: who to contact first, who's about to leave, who's worth hiring, who can introduce you, and what a career actually says. The row is the input. The judgment is the product.

22+ verified fields per row
5 judgment kinds
REST · MCP · x402
92WARM6480FLIGHT284488HIRE567296INTRO38605030
warm · 91flight · 78hire · 84
the gap

LinkedIn Leads sells the row.
We sell the judgment.

Every other tool returns a row: name, title, company, email. Useful — but a row doesn't tell you what to do. People Intel reads the same row and answers the question hiding behind it.

  • A 22-field LinkedIn row is the input — not the deliverable.
  • Each judgment returns a 0–100 score, signals, tags, and a one-paragraph rationale.
  • Use any judgment standalone, or compose them: triage + flight-risk + warm-intro for a single account map.
example dossier
A.O.
Alex Ostrowski
VP Engineering · Acme
active
Triage92/100
Verified email; current company tier-1; in tenure sweet-spot.
Flight Risk78/100
22mo tenure — common departure window; past historical pattern.
Warm Intro84/100
Probable path via Beta Inc and Stanford alumni.
POST /api/jobs
{ "name": "Q2 board prep",
  "kind": "triage",
  "judgments": ["triage","flight-risk","warm-intro"],
  "profile_urls": [...] }
judgments

Five ways to read a person.

Each judgment is the kind of read a senior operator would do — codified, scored, scaled. One credit per profile read, regardless of which judgment.

list → priority order

Triage

Who to talk to first.

Rank a list by reachability + relevance — verified contact, current company quality, role-fit on your spec, recent activity.

tenure + signal scoring

Flight Risk

Who's about to leave.

Tenure shape, hiring-spree at competitors, title decay, public signals (recommendations, certifications, side projects). Built for talent retention and outbound recruiting.

résumé → judgment

Hire Signal

Who's worth interviewing.

Surface candidates whose actual career tells a coherent story for the role — not whose résumé pattern-matches the job description.

shortest credible path

Warm Intro

Who can introduce you.

Given a target person, find the shortest credibly-warm path in your team's network. Considers shared companies, schools, and dated overlap.

dossier in plain English

Career Arc

What their career is actually doing.

A narrative summary of someone's career — the inflections, the bets, the unsaid stuff. For board prep, key-hire diligence, executive coaching.

your rubric, at scale

Custom Brief

Your own scoring rubric.

?

Bring a prompt and a rubric; we run it against every profile in the list and return the structured score + rationale. Scale tier only.

01
Paste your list

LinkedIn profile URLs — 1 to 5,000 at a time. Drop them in a textarea, paste them through the API, or call submit_judgment over MCP.

02
We pay the vendor

People Intel calls LinkedIn Leads — the same MCP every other developer uses — and pays per profile enriched. You don't manage two accounts.

03
We return the judgment

The output is a dossier per person: signals, scores, rationale, and the underlying row. CSV, JSON, webhook, or signed S3 — your choice.

For developers & AI agents

REST, MCP, or pay-per-call x402.

Every judgment is a REST endpoint and a native MCP server that drops into Claude, ChatGPT, Cursor, or the Ounie AI Team — your assistant scores profiles without writing any glue. Authenticate with a per-app pik_live_ key or your ounie.com ounie_live_ master key, passed as an Authorization: Bearer header — or appended as ?api_key=for MCP clients that can't set headers. One-off agents skip the account entirely and pay per read in USDC over x402.

MCP

Native tools for Claude, ChatGPT, Cursor, and the Ounie AI Team: submit_judgment, get_job_status, list_jobs, export_csv. Bearer pik_live_ keys.

see MCP docs
REST

POST a list of LinkedIn URLs, poll the job, pull a signed CSV. Bearer token or ?api_key=, plus webhooks on completion.

see REST docs
x402

Pay-per-call in USDC on Base — one profile, one read, no account. Perfect for an agent doing one-off enrichment.

see x402 docs
Dashboard

Paste a list, pick a judgment, ship a CSV in two clicks — for humans who don't want to wire APIs.

open dashboard
pricing

Pay in Ounie credits. No subscription.

see full pricing
20 credits per read

One profile read — the enriched row plus your primary judgment — costs 20 Ounie credits (≈ $0.20). Each additional judgment kind on the same read adds 5.

One shared wallet

Credits are shared across every Ounie product and bought on ounie.com. You are only charged for profiles actually returned; unused reserves refund automatically.

Agents pay per call

No account needed: AI agents hit /api/x402/read and pay $0.25 per read ($0.40 with all judgments) in USDC on Base via x402.

Stop reading rows.
Start reading people.

250 free judgments in the first 14 days on Growth. Cancel any time. Your data stays yours.