abm.dev vs Clearbit (HubSpot Breeze Intelligence)
If you’re choosing a data layer for account-based marketing, you’ll likely weigh abm.dev against Clearbit — now part of HubSpot as Breeze Intelligence. They solve a similar problem from opposite ends. This page lays out the difference honestly, framed for the thing that’s changed: the buyer is increasingly an agent, not a person watching a dashboard.
A great rep once knew every account. Now your agents do.
The short version
Clearbit (Breeze Intelligence) is a well-established B2B enrichment and data provider, and since its acquisition it lives inside HubSpot — enriching records in the CRM, scoring and segmenting them, surfacing buying signals where marketers already work. It’s built around the CRM and the dashboard. That’s its center of gravity, and for HubSpot-native teams that’s a real strength.
abm.dev is account-based marketing for AI agents. The core is an enrichment API: hand it a person or company, get back verified contact data plus deep, synthesized account research — built to be called inside your own agents and pipelines, not watched in a UI.
Same category. Different reader. One was built for a marketer in a CRM tab. One was built for an autonomous agent loop.
What matters when an agent is the consumer
A human can eyeball a record and sense whether it’s stale. An agent can’t. It needs the data to carry its own evidence. So the questions that matter shift.
Per-field citations, confidence, and selection reasons
abm.dev returns research with provenance attached at the field level: each value carries where it came from, a confidence score, and why it was chosen (its selection_reason). An agent can branch on that — trust the high-confidence email, re-verify the title that’s gone quiet, ignore the source it doesn’t rate. The judgment moves into the loop, where the agent can act on it, instead of staying in a human’s head.
This is the heart of the difference. A dashboard-first product is designed to show a value to a person. An agent-first product is designed to defenda value to a program — to say not just “this is the title” but “this is the title, from this source, this confident, and chosen for this reason.” No fabricated facts. No silent fallbacks.
Live data, quality over quantity
abm.dev resolves each enrichment live, at the moment you call it — running web research through Perplexity and Tavily, verifying email through Hunter, and reading LinkedIn, Companies House, and others on the spot. The answer reflects the world when you ask, not a snapshot from whenever a record was last crawled. Where coverage-first vendors optimise for the size of a maintained database, abm.dev optimises for live, cited, scored values.
And it favours quality over quantity. The usual pitch is the size of the database — hundreds of millions of records. Ours is the opposite: fewer values, but every one carries its source, a confidence score from zero to one, and the reason it was chosen. A value comes back only if it can be cited. No padding a record to look complete. You get less, and you can trust all of it.
Ten sources, one call
abm.dev enriches from LinkedIn and ten-plus providers behind a single call — aggregated, deduped, reconciled into eighty-nine canonical fields. One request, one normalized shape. No per-source bills, no stitching three vendors together by hand, no reconciling conflicting records yourself.
It’s also goal-aware: tell it the ICP you’re hunting and it scores and structures the result for that account, rather than returning a generic blob you then have to interpret.
Agent-native access, by design
abm.dev publishes the surfaces agents use to discover and call tools on their own — /llms.txt, /agent-tools.json, and /openapi.json — and it’s reachable over a plain REST API. There’s also a hosted MCP server at https://mcp.abm.dev/mcp exposing enrich_entity and get_enrichment_status. A Claude, OpenAI, LangChain, or CrewAI agent can find the tools and call them with little glue. The integration target is the agent, not the human operator.
A CRM-centric product is reached primarily through its app and its CRM integration — excellent if your team lives in that CRM, less so if your “user” is a headless pipeline running at three in the morning.
Pricing shaped for programmatic use
abm.dev is per-enrichment: you pay for the calls you make, with no subscription or seat to carry. That fits spiky, automated workloads — an agent that enriches a thousand accounts this week and none the next. Enrichment data providers in the Clearbit/Breeze lineage have generally been sold on a subscription or credit basis tied to the platform; check current HubSpot terms for specifics, as we don’t quote competitor pricing here.
abm.dev is in open beta, with around twenty dollars in free credits for every new account (code LAUNCHCODES) — enough to enrich a real list and judge it yourself.
Side by side
| abm.dev | Clearbit (HubSpot Breeze Intelligence) | |
|---|---|---|
| Built for | AI agents and pipelines | Marketers working in the CRM |
| Primary interface | Enrichment API + agent-native discovery (llms.txt, agent-tools.json, openapi.json) | HubSpot CRM + dashboard (broadly known) |
| Data model | Live resolution per call; quality over quantity (cited, scored) | Maintained dataset (broadly known) |
| Per-field citations | Yes — source on each field | Not a documented per-field claim here |
| Per-field confidence | Yes — confidence scores returned | Not a documented per-field claim here |
| Selection reason | Yes — why each value was chosen | Not a documented per-field claim here |
| Sources per call | LinkedIn + ten-plus, reconciled into eighty-nine fields | Established multi-source provider (general) |
| Goal-aware output | Yes — scored/structured to your ICP | Not asserted here |
| Pricing model | Per-enrichment, no subscription | Subscription/credit, tied to platform (general) |
Where a cell says “not asserted here,” that’s deliberate — those are claims we won’t invent about another product. Confirm them against HubSpot’s own documentation.
When each one fits
Reach for Clearbit (Breeze Intelligence) if your team lives inside HubSpot and you want enrichment, scoring, and signals right where you already work — a mature, CRM-native experience for people operating in a dashboard.
Reach for abm.dev ifyour “user” is an agent. If you’re building GTM automations that need data which can defend itself — every field sourced, scored, and explained — discoverable and callable without glue, and priced per call rather than per seat. Built for autonomous agent loops, not human dashboard-watching.
Most ABM doesn’t fail on strategy. It fails on data and tooling — enrichment that’s stale, scattered across vendors, and built for dashboards instead of the agents and pipelines teams actually run now. That’s the gap abm.dev was built for.
Looking for a Clearbit alternative?
Most people hunting for a Clearbit alternative aren’t unhappy with the data — they’re outside the HubSpot world it now lives in. Since the Breeze Intelligence fold-in, enrichment is at its best when your team works in HubSpot seats. If yours doesn’t — or your “team” is increasingly a set of agents and pipelines — abm.dev gives you the same job done as a plain API: every field cited, scored, and priced per record rather than per platform.
Try it: bring a LinkedIn URL or a name plus company and watch it come back enriched. Open beta, around twenty dollars in free credits — guides at abm.dev/resources.
Questions? Contact support