A new kind of data company.
The whole market, your market, or one account.
Zeer observes what buyers actually do and say, across public, proprietary, and custom sources, and sells it as data at the depth you need. Built for GTM engineers, data products, and GTM teams: tens of millions of new observations a week, person-level all the way down.
Files · Feeds · API · MCP · Audiences
From the founders and early executives behind Clearbit, ZoomInfo, and RB2B.
You already feel it.
The old data model is being squeezed from every direction.
My “proprietary” intent feed is on my competitor’s dashboard too.
“IBM is surging.” IBM has ten thousand people. Which one?
Third-party data arrives cold. LLM answers arrive from old training data.
I need data my agents can use. My vendor’s license says they can’t.
The sources that matter change daily, and I’m duct-taping scrapers to reach them.
I need my own custom attributes. I’m being sold everyone’s generic ones.
What's left is fresh, person-level, verified market behavior.
The hard part is no longer a bigger database. It is observing the market as it moves.
A modeled score on an account, built from a one-time snapshot. Someone read an article, so the whole account is “surging.”
Observed people and observed actions, resolved as they appear. The whole market re-ranked every week.
What people ask us for.
Real pulls from the graph. Ask for one of these, or bring your own.
One graph. Three depths, in action.
The same rows, at every depth. Pick one.
| person | title | company | what they did | when | confidence |
|---|---|---|---|---|---|
| Elena Marsh | VP Ops | CrewAI | asked peers about multi-region agent compliance | 3h | verified |
| Marcus Bell | Platform Eng Lead | HubSpot | comparing agent frameworks in a community | today | verified |
| Priya Raman | Head of Growth | Notion | posted a pricing breakdown of her data stack | 1d | verified |
| Dana Whitfield | RevOps Lead | Ramp | asked for CDP recommendations in a community | 2d | verified |
| Cody Fisher | Director of Engineering | Vercel | opened an issue against an agent SDK | 1d | enriched |
| Brooklyn Simmons | CMO | Clearbit | engaged a thread on AI SDR tooling | today | verified |
| Jordan Vale | Data Engineer | Snowflake | attended a webinar on warehouse-native activation | 4h | verified |
a slice of tens of millions of rows this week · one schema
The whole market at standard depth. What feeds, audiences, and products run on.
Any depth, one call away. API and MCP, agent-ready.
Social is where we start. Nowhere near where we stop.
Representative coverage, not a fixed catalog. Zeer observes person-level behavior and company-level movement across public, proprietary, and custom sources.
person-level
company-level
illustrative rows
Custom-Sourced
The signal nobody sells off the shelf.
Tell us what would change your pipeline; we build the miner for it.
Every observation is normalized into one of 40+ signal types. Different sources. One row.
More fields, the deeper you go.
One schema in every format: files, feeds, API, MCP, audiences.
field availability, by depth
Every row ships normalized: who, what happened, when, how confident, and why it matters now. Full schema and sample rows on the call.
Your pipes, our feed.
Breadth disappears into whatever you already run. Same graph, same schema, delivered your way: files, feeds, API, MCP, audiences.
The complete weekly cut. One schema, your format, on cadence.
The person-level layer inside what you sell. Priced by volume, not seats.
Query the graph or append onto your records. Built to be called by agents.
Rebuilt from this week's market. Synced where you already buy media.
Every format ships the same agent-ready schema, why_now included. If you can consume it, we deliver to it: your product, your platform, your warehouse, your agent stack. Request API access →
A row is a clue, not proof.
- Breadth is patterns at scale, re-ranked weekly.
- Conviction on named accounts is Intelligence. Same graph.
- No person, no action? Not in the feed.
Get your hands on real rows.
Send us your ICP or account list and we pull from this week's graph against it. Check coverage, match quality, and freshness before you sign anything.