Priced like a primitive
Start at a cent, climb only when you ask for more. Every tier is charged on a verified find — never on an attempt.
The structured shape of a person: current role, company, headline, location, links — with freshness stamps on every field.
The structured shape of an account: industry, website, headcount, followers, and locations.
A verified work inbox, found via a multi-source waterfall. Charged only when verified — the search itself is free.
Per returned post. Find LinkedIn posts already pulling comment-for-resource demand in a niche. Empty sets and provider errors cost nothing.
Per returned post. Recent public content from a profile so an agent can brief from live context before outreach.
Per 25 people. Comments and reactions on a post, identity-deduped into a warm lead list.
Profile + verified work email = 11 credits (~$0.11). Discover, posts, and engagers bill only on what comes back. A miss at any tier costs 0.
How credits work
The unit everything is priced in — roughly one cent. A profile is 1 credit; richer finds cost more. Buy credits from the dashboard, then create an API key and start calling the engine.
Nothing. Zero credits, at every tier. If we can't verify the data, you don't pay for the attempt — no blended-rate games, no charging you for dead ends.
Cached. Ask about the same person again and the answer comes back instantly and discounted. Every response carries source, fetched_at, and stale_after so you always know how fresh it is.
Never. Enrichment is accountless — the lookup runs on our side. No session, no cookies, no quota burned on the account you operate.
Both, same credits. A REST API for your stack, and an MCP endpoint so enrich_person, discover_lead_magnets, get_engagers, and the rest are tools your agent calls directly — Claude, ChatGPT, Cursor, or your own.
Now. Open the dashboard, add credits, create an API key, and call the REST API or MCP tools.
Open the dashboard, add credits, create an API key, and run your first lookup.
Open dashboard