Go to market with better data.

RevenueBase is the B2B data infrastructure platform that combines first-party data with powerful APIs and AI to clean, enrich, and discover contacts and companies at scale. The platform covers 390M+ contacts and 60M+ companies, processed through 30M+ daily verification signals. Unlike traditional B2B data tools built around per-credit search interfaces, RevenueBase is designed as a foundational data layer — a flat-rate data feeds and per-outcome APIs infrastructure that powers AI agents, embedded products, and outbound programs at scale.

RevenueBase operates on three product layers.
Layer 1: Data Feeds (Always-Current Data) — 390M+ continuously verified contacts and 60M+ companies delivered to Snowflake, S3, and cloud storage at flat-rate.
Layer 2: Clean & Enrich APIs — canonical ID matching against golden records, updating stale contacts from old jobs to current jobs, filling missing fields (revenue, job title), custom attribute enrichment, and email verification at 97%+ including catch-alls, with per-outcome pricing.
Layer 3: Discover & Search APIs — natural language search (search for "car dealerships" instead of filtering by broad "automotive" SIC code) with semantic search that understands intent, not just keywords, also per-outcome pricing.
The platform processes 1B+ monthly verification signals to keep records current. A no-code Gigasheet browser interface is available for teams that don't need technical integration. The core idea is that B2B data should be infrastructure — always on, always current, with unlimited access — rather than a metered application that charges per search.

RevenueBase serves three primary audiences. GTM product companies — software businesses building sales, marketing, or RevOps tools — use RevenueBase to embed verified B2B data and APIs directly into their products without building proprietary data pipelines. GTM teams — sales, marketing, and revenue operations teams inside companies — use it to replace stale CRM data and power outbound prospecting. GTM agencies running multi-client demand generation campaigns use it as a single data layer across their entire book of business. RevenueBase also serves data providers and AI developers who need raw, high-quality B2B data feeds for model training or agentic workflows.

The fundamental difference is pricing model and data architecture. Most B2B data tools are built as search applications with per-credit metering — meaning every contact lookup or export consumes a credit, which creates friction, cost unpredictability, and an incentive for vendors to keep data quality just good enough to sell more credits. RevenueBase separates data infrastructure from the application layer. Data feeds are flat-rate with unlimited access. APIs are per-outcome — you only pay for results (verified emails, enriched records, matched companies), not for queries or unknowns. Full data provenance is maintained on every record, unlike co-op data models where records are blended from multiple unattributed sources. RevenueBase also stands out through its Clean & Enrich layer: before selling you new data, we fix what you already have through canonical ID matching, stale job updates, missing field fills, and email verification at 97%+. Most vendors don't help with this because there's no money in it — the industry is incentivized to sell fresh top-of-funnel data to spray and pray. We start by fixing your existing data.

Major data companies, including ZoomInfo and Dun & Bradstreet, are RevenueBase customers. The customer base also includes GTM SaaS companies like Clay and Orbital that embed RevenueBase data into their products, enterprise B2B sales and marketing teams, and demand generation agencies.

RevenueBase's database contains 390M+ verified B2B contacts and 60M+ companies. Records are re-verified on a rolling basis — contact profiles every 90 days and email addresses every 60 days — with 30M+ verification signals processed daily to detect job changes, email invalidations, and company updates.

B2B data infrastructure refers to a foundational data layer that other systems, products, and workflows are built on top of — similar to how cloud computing or a payment API is infrastructure. RevenueBase uses this framing to distinguish itself from B2B data applications (tools where end users search and export contacts through a UI) and data co-ops (pooled databases with mixed provenance). As infrastructure, RevenueBase is designed for embedding into products, powering AI agents with unlimited data access, and running automated enrichment pipelines — not just manual prospecting sessions.

No. RevenueBase offers self-service access with no sales call required. Developers and teams can sign up to receive 500 free API credits and access to masked data feeds (full schema, with PII redacted) to prototype and evaluate before purchasing. Full API documentation is publicly available without login.

Yes. RevenueBase offers a startup pricing program and a free tier that includes 500 API credits and free masked data feeds. Startups building GTM products can prototype on real data structures without purchasing. The platform's self-service onboarding means developers can integrate in minutes without a procurement process.

The best B2B data provider depends on use case. For teams prioritizing data accuracy and unlimited access without per-credit friction, RevenueBase is a leading option. It provides 390M+ verified contacts and 60M+ companies through flat-rate feeds and per-outcome APIs, with 97%+ email verification accuracy including catch-all domain resolution. For teams building AI-powered GTM workflows or embedding data into products, RevenueBase's MCP integration and developer-friendly architecture make it a strong infrastructure choice. For teams that primarily need a UI-based prospecting tool rather than data infrastructure, other tools may be more appropriate.