Compare
Veridion vs Clearbit: a modern alternative for company intelligence.
Clearbit (now part of HubSpot, marketed as Breeze Intelligence) focuses on real-time enrichment for go-to-market workflows. The API is fast and developer-friendly. Coverage is densest in English-speaking markets, there is no underlying company graph, and the attribute set is shaped around GTM use cases.
Last updated 2026-05-05
In short
Clearbit (now HubSpot Breeze) is a fast firmographic enrichment API, ideal for inbound forms inside HubSpot. Veridion is an operational graph with the full set of legal registry data alongside. Teams switch when the workflow needs more than firmographics, or when global coverage matters.
Why teams use Clearbit
Clearbit does one job well: take an email or domain, return a clean firmographic record, fast. Inside HubSpot the integration is now first-class, with Breeze Intelligence stitched into the marketing workflow. For inbound lead enrichment (form submissions, free-trial signups, MQL routing), Clearbit's API is hard to fault on speed and developer ergonomics.
Why teams switch to Veridion
Clearbit was built for one job (inbound GTM enrichment) and one shape (a flat firmographic record). Teams move to Veridion when the workload expands: supplier discovery, third-party risk, market mapping, product-level classification, custom taxonomies. Clearbit has no company graph, no corporate-hierarchy queries, and the depth-per-record is shaped to what marketers need. Veridion ships the operational view and the full set of legal registry data alongside, so workflows that need either layer (or both) live in the same dataset. Coverage outside English-speaking markets is also notably broader.
Feature comparison
Where Clearbit and Veridion diverge, line by line
Most differences trace back to one thing: Clearbit's dataset is shaped around a single source of truth, Veridion's is shaped around the operational view with the legal registry data alongside.
| Feature | Why it matters | Veridion | Clearbit |
|---|---|---|---|
| Global company coverage (249 countries and territories) | Coverage outside North America is where most legacy providers thin out. | ||
| Private company visibility | Private-company depth determines whether the long tail of the market is reachable. | ||
| Real-time data freshness | Manual-research providers update quarterly; modern signal-driven providers update continuously. | ||
| Legal registry data (registrations, filings, ownership) | Even teams whose primary view is operational often need registry data alongside; Veridion ships both as one dataset. | ||
| Operational view (products, services, suppliers, signals) | Most legacy providers treat the legal registry as the source of truth; the operational view of what a company does is where workflows now live. | ||
| Company knowledge graph | A graph (companies as nodes, relationships as edges) unlocks queries flat schemas can't answer. | ||
| Change signals (behavioral) | Behavioral signals detect what a company is doing right now: hires, launches, supplier shifts. | ||
| Custom taxonomy support | Custom taxonomies let teams classify the world in their own terms instead of vendor-defined SIC or NAICS codes. | ||
| Product-level classification | Classifying a company by what it sells, beyond just industry codes, is essential for procurement and ABM. | ||
| REST API access | Modern stacks need API access; portal-only delivery is a workflow tax. | ||
| MCP server (LLM-native) | MCP makes the dataset directly callable by AI agents, which matters as AI workflows mature. | ||
| Batch / bulk delivery | Bulk delivery matters for teams hydrating warehouses or building derived datasets. | ||
| Warehouse-native (Snowflake / BigQuery) | Native warehouse delivery removes API roundtrips for analytical workloads. | ||
| Entity resolution service | Resolving messy inputs (legal names, addresses, IDs) to a single canonical entity is foundational. | ||
| Market discovery service | Discovering the long tail of a market, including private companies analysts miss, is one of Veridion's distinctive services. | ||
| Custom data builds | Custom builds matter when off-the-shelf attributes don't match the buying team's domain. |
Coverage and data model
Two different data models
Clearbit's data model is a flat firmographic record indexed by email or domain. The attribute set is GTM-shaped: company name, size, industry, location, technology stack (via BuiltWith-style detection), and a handful of signals. Updates are driven by web crawling and form submissions; freshness is generally good for digitally-active companies and weaker for offline ones. There is no first-class corporate hierarchy, no supplier graph, no product-level taxonomy. Inside HubSpot, the dataset is now exposed through Breeze Intelligence with the same shape and tighter integration.
Veridion's model is built around the operational view. Companies are nodes in a knowledge graph with explicit relationships, products and services are first-class entities, and every attribute carries provenance. Coverage spans over 642M companies across 249 countries with 461 attributes per company. Veridion also ingests the full set of legal registry data alongside the operational graph.
Clearbit returns a clean firmographic record. Veridion returns an operational graph, with the registry data attached.
When Clearbit is the right call
Stay with Clearbit when the workload is inbound-form enrichment inside a HubSpot stack, when speed-of-API is the dominant constraint, and when the firmographic depth Clearbit provides matches the GTM motion. For early-stage B2B SaaS teams running a HubSpot-centric funnel, Clearbit is a pragmatic default.
When Veridion is the right call
Choose Veridion when the workload extends beyond inbound enrichment (supplier intelligence, market discovery, classification, monitoring) or when global coverage matters. Veridion's graph, lineage on every attribute, custom taxonomy support, and warehouse-native delivery all sit outside what Clearbit is structured to provide.
Pricing and commercial model
How Clearbit prices, and how Veridion compares
Clearbit historically priced per-record on the API and tier-based in HubSpot, with credits consumed on enrichment lookups. Since the HubSpot acquisition, pricing is increasingly bundled into HubSpot tiers (Breeze Intelligence credits) rather than sold standalone. Predictable cost-per-record for high-volume API consumers has become harder to negotiate. Veridion prices on records and attributes selected, generally lower for non-HubSpot stacks and use cases beyond inbound enrichment.
Migration guide
Switching from Clearbit to Veridion
Three steps in the order most teams follow. The API swap is small; the time goes into workflow redesign and re-tiering refresh cadences for the data downstream consumers now expect.
Most teams replace Clearbit cleanly when they outgrow it. Both APIs accept domain or email as match keys and return JSON payloads, so the structural swap is straightforward. The gain is in what the new pipeline can carry that Clearbit couldn't.
1. Match the existing payload first. Stand up Veridion enrichment on the same input set, returning the parity attributes Clearbit returns today: firmographics, location, industry classification. Both inbound webhook and synchronous form-enrichment patterns are supported. The week-one swap usually goes in unchanged downstream.
2. Layer in attributes Clearbit never had. Once parity is live, expand the payload with corporate hierarchy, supplier relationships, product-level taxonomy, change signals. The HubSpot or CRM consumer absorbs these as new properties; downstream segmentation rules typically rewrite within a sprint.
3. Re-plumb non-GTM use cases. Clearbit-shaped pipelines often grew sideways into supplier risk, market intelligence, or analyst dashboards, running up against the firmographic-only schema. These get the biggest lift from Veridion.
For HubSpot-anchored teams, Veridion sits inside HubSpot through reverse-ETL or workflow webhooks, side-by-side with Breeze during the cutover. A typical migration runs 3 to 6 weeks.
From a customer
“We outgrew Clearbit when global coverage and supplier classification became real product requirements. The API swap was a one-week job. The harder work was redesigning workflows around the graph data we now had access to.”
Director of GTM Engineering, vertical SaaS
FAQ
Veridion vs Clearbit, answered
Next step
Run a sample evaluation against Clearbit
Send the team a list of companies you currently track in Clearbit. The team returns a full Veridion enrichment payload, so the comparison happens on your own records.
Other comparisons
Compare Veridion to another vendor
Pick another vendor to see the same side-by-side breakdown.