Use case · RevOps & data teams
Signals your scoring model can trust.
Evidence-graded fields, a hard freshness floor, and an API that documents itself. Sales intelligence that behaves like an engineering dependency, not a CSV of vibes.
Your scoring model weights technographic fields nobody trusts.
Overt findings carry numeric confidence keyed to detection method — a CNAME match is not an HTML guess, and your model can finally tell the difference. Weight by evidence strength, not vendor optimism.
Enrichment data arrives quarterly and decays daily.
Every scanned profile sits under a hard freshness floor, re-verified continuously. The API serves the current state; the change log tells you what moved since your last sync.
Every new data vendor is another black-box integration.
A documented REST API with an OpenAPI spec, CRM-ready CSV with pipeline stage and decision-locus columns, and webhooks into the channels your team already reads. No proprietary connector tax.
The plumbing
REST API with OpenAPI spec and service-token auth. CSV exports shaped for CRM import. Webhooks for change events. Confidence and evidence fields on every record, so the data audits itself.
Talk through your data flow