A team working quietly together at a long table

Go to market with great data.

Sales automation for agentic teams and tools.

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Find email addressesFind phone numbersFind prospectsFind companiesEnrich your CRMData for CRM buildersData for ATS builders

One engine. Three surfaces.

The same enrichment core, wherever your work happens — in your codebase, in a sheet, or inside your agents.

enrich.ts

const res = await pipe0.pipes.run({
  pipes: [
    { pipe_id: "people:workemail@1" },
    { pipe_id: "company:description@1" },
  ],
  input: [{ name: "John Doe", company: "Pipe0" }],
});

API · compose 50+ providers

Built for your codebase.

A full enrichment & prospecting API. Compose 50+ providers, actions and conditions into pipes — and ship clay-like enrichment inside your own product.

pipe0 · Sheets3 editing now

2M records per tableMulti-playerPoint-in-time restorationAPI access

Tables that hold 2M records.

Graphical enrichment tables — multiplayer by default, with point-in-time restoration when things go sideways. All the depth of the API, none of the code.

Find 100 software engineers in Berlin at Google — fetch work emails and phone numbers.

pipe0.search(role: "software_engineer", company:"google", location: "berlin", limit:100)

✓Anna Schmidtanna.schmidt@google.com

✓Jonas Weberjonas.weber@google.com

✓Mara Kellermara.keller@google.com

✓ 100 records enriched

MCP·Cursor · Claude Code · Codex

An MCP server, ready to go.

Plug pipe0 into Codex, Claude Code, Cursor and friends. Your agents get the same enrichment engine you do — no glue code in between.

One engine. Three surfaces.

The same enrichment core, wherever your work happens — in your codebase, in a sheet, or inside your agents.

enrich.ts

const res = await pipe0.pipes.run({
  pipes: [
    { pipe_id: "people:workemail@1" },
    { pipe_id: "company:description@1" },
  ],
  input: [{ name: "John Doe", company: "Pipe0" }],
});