datasdkby leadpipe
AI agents · PLANNED API WORKFLOW

Classify company fit with evidence

Plan a reviewable explanation of how a company meets user-defined criteria.

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Who this helps

An agent builder wants consistent first-pass fit checks.

How to use it

  1. Define explicit fit rules rather than a vague ideal buyer prompt.

  2. Use available company fields and verifiable public evidence.

  3. Return met, not met, or unknown for each criterion.

ILLUSTRATIVE EXAMPLE

A practical example

A proposed agent would mark supported country as unknown when evidence is missing.

What to check

An agent's score is not calibrated buying intent and should not bypass review.

How Data SDK fits

The full Data SDK API is coming soon. Platform and AI-agent workflows are planning examples. Confirm access, data delivery, usage, branding, and resale terms before building or selling a feature.

These are suggested workflows, not a list of built-in integrations. Use your own approved analytics, CRM, and research process where needed. Matches and fields vary. A company match does not identify a person or prove buying intent.

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