Act I — The sprawl

Company and employee data, scattered across the open web

Thousands of records live in disconnected pages, directories and filings — vast, valuable, and hard to use.

Act II — The search

Ask in plain language. AI search finds what matters.

Describe who or what you need — the registry's own field dictionary turns it into a structured query, no manual filters required.

Act III — The structure

Matches become clean, typed rows

Every match becomes one structured row: consistent, typed fields, ready to use.

Act IV — The delivery

Export it. Or let an agent pull it through the API.

The same rows, delivered as a file, a typed REST call, or an MCP tool your agent calls directly.

• verid_entity_search
• verid_entity_query
• verid_entity_fields

// 1. Set your API key once.
export VERID_API_KEY="verid_live_..."

// 2. Point any MCP-compatible client at the server — or call the
//    REST API directly with the same key.
npx -y @verid/mcp

// 3. An agent can now call tools like:
verid_entity_search({ entity: "company", query: "seed-stage developer tools companies in Berlin" })
// -> { results: [...], query, estimated_credits }

The result

A calm, structured result.

Search once. Use everywhere — your console, your API, or your agent's own tools.