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The data

RevenueBase is a B2B data foundation — 375M+ contacts and 60M+ companies, continuously verified and refreshed. Every record ships with a verification timestamp and summary so you always know the freshness of what you’re working with. Three things that make the data useful for building:
  • Dynamic updates — Records are re-verified on a rolling schedule (profiles every 90 days, emails every 60 days). Your monthly delivery reflects the current state of the dataset, not a static snapshot.
  • Deterministic filters — Slice by headcount, revenue, funding stage, industry, job title, seniority, geography, tech stack, and more. Filters are field-level and exact — no black-box scoring.
  • Semantic search — Query by meaning, not just keywords. “Ambulatory care facilities in Texas” or “the person responsible for data infrastructure at Series B fintechs” — blends natural language with structured filters in a single query.

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Getting the data

Direct Data Feeds

Full dataset in your infrastructure.Delivered to Snowflake, S3, Google Cloud Storage, or Azure Blob Storage on a monthly cadence. Contacts, companies, insights, and pre-joined views — query with standard SQL. Flat subscription, unmetered access.

Gigasheet

Browser UI, no code required.Search, filter, segment, and export the full dataset in a spreadsheet interface. The right starting point for non-technical teams or pre-integration exploration.

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Building on the data

The REST API gives you two additional layers on top of the Foundation:

Verification & Enrichment Tools

Clean and enhance your own data.Verify emails in real time or batch, resolve company names to canonical IDs, detect job changes, and enrich your records with firmographics, tech stack, and hiring signals. Operates on whatever you send — your CRM, third-party lists, product data. Per-outcome pricing.

Discovery

Find net-new contacts and companies.Combine deterministic filters (headcount, funding stage, industry, job title, geography) with semantic search that interprets meaning — “ambulatory care facilities in Texas” or “the person responsible for data infrastructure at Series B fintechs.” Results come back verified and enriched. Per-outcome pricing.

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Quickstarts

Quickstart

Data Feeds, Gigasheet, and API — pick your path and get started.

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Key references

Data Feed Schema

Table definitions, field types, join relationships, and delivery setup.

Joining Tables

How contacts, companies, insights, and pre-joined views relate.

Data Freshness & Quality

Verification cycle, staleness thresholds, and recommended filters.

API Reference

Authentication, endpoints, rate limits, and error codes.