The sourced brief before every meeting

LinkedIn URL in.
Personal facts out.

Uniqueness Engine turns a LinkedIn URL into the public context worth knowing before you meet. Every fact carries a source link and the quote it came from. Broader interest signals and the personality read are clearly marked as a read, not a fact.

① Paste a LinkedIn → get their interests, hobbies & life signal
Jordan Ellis below is a fictional static demo. Every real enrichment needs a paid credit.
Example
JE

Jordan Ellis sample

VP Revenue · (illustrative)
0.92
identity conf.
namephotohandlecross-link
Rescue dogs 🐕 personal

adopted our third rescue this weekend — Banjo already runs the house 🐶

verified source ↗
mentionability0.95
Sports loyalty 🏈 personal

Bills Mafia for life. Through every single heartbreak.

verified source ↗
mentionability0.94
Marathoner 🏃 personal

Chicago Marathon #3 in the books — 3:48 and a new PR

verified source ↗
mentionability0.93
🏌️ golf🍳 home cook📚 sci-fi reader 🎸 live music✈️ travel — Portugal
↳ Clearly marked as a read, not a fact.
The Motivator (I)predicted · from their posts

How to reach them: warm and upbeat, not metrics-first. Lead with recognition, keep it human.

One brief, yours to use — we surface the facts, the send is your call
✉️Subject line
Bills Mafia forever (and a 3:48 PR)
💬Email opener
Congrats on the Chicago PR — 3:48 is no joke. How's Banjo settling in?
💼LinkedIn InMail
Three rescue dogs and a sub-4 marathon in one year — that's a whole personality.
✍️Handwritten note
Go Bills. Enjoy the recovery miles with Banjo.
Examples of what a team could send. Uniqueness surfaces the verified facts and their labels — it doesn't write the outreach; how you use them is your call.
Why it's different

The personal layer contact‑data tools skip.

Contact-data tools
Who they are on paper.
Job title & company
Verified email & phone
Firmographics & tech stack
Uniqueness Engine
Who they actually are.
Hobbies, causes, the team they root for
A personality read — how to open
Facts: sourced + quoted. Reads: labeled.
Runs marathons — 3:48 PR in Chicago.
Public source · masked until you run it
“Chicago Marathon done — 3:48, a new PR.”
Verified — click to source
No public trail?

You get needs_review and pay $0. We never make up a fact to fill the gap.

How it works

Facts: sourced + quoted. Reads: labeled.

1

Drop a URL

A LinkedIn link, name + company, or work email. That's it.

2

Gate identity

We make sure it's the right person. Not sure? → needs_review, never a guess.

3

Verify every fact

Thin profile? Additional verified public-source lanes engage automatically. Every candidate clears the same gate.

4

Get the brief

Every fact carries a source link and the quote it came from. Broader interest signals and the personality read are clearly marked as a read, not a fact. Addresses are stripped and sensitive categories are flagged.

Right person or nothing — refuse, never guess Every fact sourced and quoted Sensitivity labels — show what kind of fact it is
For GTM engineers & founders

One POST. Three ways in.

Use the passwordless dashboard, call it in code or from your terminal, or hand it to your agent — dropping sourced briefs into your workflow before every meeting.

Not technical? A sales leader never touches the API — briefs just land before each meeting.

API POST /api/enrich → poll — works anywhere
CLI uniqueness brief --linkedin-url <url> · uniqueness billing packs
MCP get_connection_brief tool — Claude, Cursor, any MCP client
🤖 Setting this up with an AI agent? Copy one prompt →
~/outbound — curl
# Submit → poll — resolve, gate, verify.$ curl -X POST https://uniquenessengine.com/api/enrich \  -H 'authorization: Bearer $KEY' \  -d '{"linkedin_url":"https://www.linkedin.com/in/<their-handle>"}'# → 202 queued; poll /api/jobs/:id → done:{ "status": "ok", "identity": { "full_name": "Jordan Ellis", "identity_confidence": 0.92 },  "facts": [{ "connection_type": "personal_signal", "evidence_quote": "…", "source_url": "https://…" }],  "aggregated_interests": [...], "personality": { "primary_disc": "I" },  "usage": { "credits_charged": 1, "credits_remaining": 9 } }# ambiguous identity → fail-closed, never guess{ "status": "needs_review" }
Pricing · paid evaluation

Start with a repeatable paid evaluation.

Loading current paid-evaluation terms. Every real enrichment uses one credit; no-fact, wrong-person, and system-failure outcomes are not charged.

PAID EVALUATION
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