# RevenueBase Documentation

> RevenueBase is a B2B data platform providing 375M+ verified contacts and 60M+ companies, delivered via Snowflake, S3, Gigasheet, or REST API. Core capabilities include email verification, company matching, real-time enrichment, and semantic B2B search. Data is deterministically filterable by headcount, revenue, funding stage, industry, job title, seniority, geography, and tech stack — no black-box scoring.

## Getting started
- [Overview](https://docs.revenuebase.ai/docs/getting-started/overview): Product overview — data tables, delivery methods, and how to get started building with RevenueBase
- [Quickstart](https://docs.revenuebase.ai/docs/getting-started/quickstart): Step-by-step setup for data feeds, Gigasheet, or API access
- [Pricing](https://docs.revenuebase.ai/docs/getting-started/pricing): Subscription plans and per-outcome API pricing
- [FAQ](https://docs.revenuebase.ai/docs/getting-started/faq): Common questions about data delivery, update cadence, and account setup

## Data features
- [Tables & schemas](https://docs.revenuebase.ai/docs/data-features/tables-and-schemas): Full schema reference for all RevenueBase data tables including field names, types, and join keys
- [Organization table](https://docs.revenuebase.ai/docs/data-features/data-tables/organization): Company-level firmographic data — industry, headcount, revenue, location, funding stage, tech stack
- [Person table](https://docs.revenuebase.ai/docs/data-features/data-tables/person): Individual contact records — verified emails, job titles, seniority levels, direct dials
- [Insight table](https://docs.revenuebase.ai/docs/data-features/data-tables/insight): Technographics, hiring signals, funding events, and engagement indicators
- [Historical Experience table](https://docs.revenuebase.ai/docs/data-features/data-tables/historical-experience): Career history, past roles, tenure, and professional trajectory data
- [Pre-joined tables overview](https://docs.revenuebase.ai/docs/data-features/pre-joined-tables/pre-joined-overview): Flat views combining people, organizations, and insights — no SQL joins required
- [Person + Organization view](https://docs.revenuebase.ai/docs/data-features/pre-joined-tables/person-organization): Contacts combined with company firmographics in a single flat table
- [Person + Organization + Insight view](https://docs.revenuebase.ai/docs/data-features/pre-joined-tables/person-organization-insight): Full pre-joined view with contacts, firmographics, and signals
- [Data freshness](https://docs.revenuebase.ai/docs/data-features/data-freshness/data-freshness): Verification cadence (profiles every 90 days, emails every 60 days), staleness thresholds, and how to assess data quality programmatically
- [Verification summaries](https://docs.revenuebase.ai/docs/data-features/data-freshness/verification-summaries): How to read and use the revenuebase_contact_verification_summary field

## Dynamic data feeds
- [Data feeds overview](https://docs.revenuebase.ai/docs/data-feeds/overview): Set up a RevenueBase data feed via AWS S3 or Snowflake — delivery cadence, formats, and initial setup
- [Joining tables](https://docs.revenuebase.ai/docs/data-feeds/joining-overview): SQL join patterns using RBID keys across Person, Organization, Insight, and Historical Experience tables

## Gigasheet
- [Gigasheet overview](https://docs.revenuebase.ai/docs/gigasheet/overview): Browse, filter, and export the full RevenueBase dataset in a no-code spreadsheet UI — no SQL required
- [Setup & access](https://docs.revenuebase.ai/docs/gigasheet/setup-and-access): Log in with RevenueBase credentials and configure your Gigasheet workspace
- [Filtering](https://docs.revenuebase.ai/docs/gigasheet/advanced-usage/search-filter-views/filtering): Apply column filters to slice the dataset by industry, title, location, and more
- [Grouping](https://docs.revenuebase.ai/docs/gigasheet/advanced-usage/search-filter-views/grouping): Aggregate contact data at the company level
- [Saved views](https://docs.revenuebase.ai/docs/gigasheet/advanced-usage/search-filter-views/saved-views): Create, name, and manage reusable filtered views
- [Sharing data](https://docs.revenuebase.ai/docs/gigasheet/advanced-usage/search-filter-views/sharing-data): Share filtered views with teammates
- [Exporting to CSV](https://docs.revenuebase.ai/docs/gigasheet/advanced-usage/export-enrichment/exporting): Export filtered RevenueBase data as CSV
- [Exporting to HubSpot](https://docs.revenuebase.ai/docs/gigasheet/advanced-usage/export-enrichment/exporting-hubspot): Push contacts directly from Gigasheet into HubSpot
- [Enrichment](https://docs.revenuebase.ai/docs/gigasheet/advanced-usage/export-enrichment/enrichment): Enrich existing records using RevenueBase data in Gigasheet

## API reference
- [API overview](https://docs.revenuebase.ai/api-reference/overview): Base URL (https://api.revenuebase.ai), capabilities, and how to start using the RevenueBase API
- [Authentication](https://docs.revenuebase.ai/api-reference/authentication): API key generation and the x-key header format
- [Rate limits](https://docs.revenuebase.ai/api-reference/rate-limits): Default rate limits per API key, response headers for usage tracking, and HTTP error codes
- [Email Verification API](https://docs.revenuebase.ai/api-reference/email-verification-overview): Verify individual emails in real time or process thousands in bulk — detect invalid, risky, and unverifiable addresses
- [Company Match API](https://docs.revenuebase.ai/api-reference/company-match-overview): Resolve company names and domains to canonical RevenueBase records; discover net-new companies via deterministic and semantic search

## AI tools
- [Claude Code](https://docs.revenuebase.ai/ai-tools/claude-code): Configure Claude Code to query and work with RevenueBase data
- [Cursor](https://docs.revenuebase.ai/ai-tools/cursor): Configure Cursor to query and work with RevenueBase data
- [Windsurf](https://docs.revenuebase.ai/ai-tools/windsurf): Configure Windsurf to query and work with RevenueBase data