Clay-like tables, a GTM MCP, and a B2B data API, forged into one system for every level of GTM. It makes sense the moment you try it.

A system that speeds up all three changes how big a team has to be.

What a rep needs before a call or an email: who this is, what changed, why now.
Get the answer with AI about 17x faster than with competing systems.

Plays that scale one person to work a whole market, like drafting a hundred emails a day.
Building blocks for technical and non-technical users to create any GTM play.

What the whole company runs on: signal engines, CRM enrichment, lead routing.
Tables up to 2M records, signals, webhooks, and a stateless API to power production.
It happens when the building blocks of agentic GTM converge in one product.
pipe0 is one system that builds GTM automation with AI. Enrichment, lists, routing, and sync in one place instead of spread across tools like these.
Higher coverage than traditional waterfalls, 6–12x more cost‑efficient.
The same 150 LinkedIn profiles through each route, August 2026.
A traditional waterfall asks the cheapest provider first. Method and data
Average per result with high-volume pricing, against typical waterfalls.
Misses cost nothing. See pricing
Founder · Berlin and San Francisco
Built data pipelines at Cloudflare, then joined Cursor as its first growth engineering hire and built its GTM data platform.
“Don't trust any vendor's find rate, ours included. Run a real list through pipe0 next to your current tool. If the difference isn't obvious, we did something wrong.”
No. Export the table as a CSV and import it into a sheet, or describe the workflow and let the agent add the columns. The rows you already enriched stay as they are.
Clay made spreadsheet enrichment mainstream and has the larger template library. pipe0 gives you the same table workflow with tables up to 2M records, plus a full API and MCP server on the same engine, so agents can build and run the work too. Full comparison
A waterfall stops at the first answer, so the first provider decides accuracy. We benchmark providers against premium data and only add one when it finds data the others miss. Before you send, run email verification as its own step. How we benchmark
Yes, without a separate product. Put a sheet on a schedule: pull the accounts created yesterday from HubSpot, Salesforce, or Attio, enrich them, and write the results back to the CRM. Schedules
No. Buy credits as you go and they never expire. Monthly plans lower the price per credit when your volume grows. Pricing
Always. Export any sheet to CSV at any size, write rows back to HubSpot, Salesforce, or Attio, or read them over the API.
Yes. Store your own API key for a provider and pipe0 uses it instead of the managed connection, for a small platform fee per call. Connections
No. Most work starts as a sentence to the agent, and every column can be adjusted by hand. Engineers get the same engine as an API, a TypeScript SDK, and an MCP server.
Run a few rows of a list you already enriched somewhere else. Compare the hit rate and the cost per contact.