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 you work: your codebase, 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 and prospecting API. Compose 50+ providers, actions, and conditions into pipes, then 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, with no glue code in between.

One engine. Three surfaces.

The same enrichment core, wherever you work: your codebase, 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" }],
});