abm.dev vs Crunchbase
If you’re looking for company and funding data, you’ll likely come across both abm.dev and Crunchbase. They sit near the same category, but they’re built for different readers. This page lays out the difference honestly, framed for the thing that’s changed: the consumer is increasingly an agent, not a person browsing a web app.
A great rep once knew every account. Now your agents do.
The short version
Crunchbase is a company and funding database — well known for startup, investor, and funding data, with search and prospecting tools (Crunchbase Pro), sold on subscription and used through a web app. You browse it, search it, and read it. For tracking companies and rounds, that’s a real strength, and for teams who want to explore the market by hand it works well.
abm.dev is account-based marketing enrichment built 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 browsed in a UI.
Related space. Different reader. One is a database you search. One is an API your agents call.
What matters when an agent is the consumer
A human can open a company page and judge whether it looks current. An agent can’t. It needs the data to carry its own evidence. So the questions that matter shift.
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 stored record waiting for its next refresh. A searchable database is, by design, a snapshot: funding and company facts hold steady between updates and age until the next pass. abm.dev doesn’t hold a copy to age — it goes and resolves the answer when you ask.
And it favors quality over quantity. The usual database pitch is reach — millions of company profiles to browse. 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.
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, set aside the title it doesn’t rate, weigh one source against another. The judgment moves into the loop, where the agent can act on it, instead of staying in a person’s head as they scan a page.
This is the heart of the difference. A search-and-browse 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.
Ten sources, one call
abm.dev enriches from ten data sources — LinkedIn, Companies House, Perplexity, Tavily, Hunter, and others — behind a single call, aggregated, deduped, reconciled into eighty-nine canonical fields plus forty signals. One request, one normalized shape. No browsing a profile and copying facts out by hand, no reconciling conflicting records yourself.
It’s also goal-aware: tell it the ICP or persona you’re hunting and it scores and structures the result for that goal, rather than returning a generic profile 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 search-and-browse product is reached primarily through its web app — excellent if a person is exploring the market by hand, 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, and credits that never expire. That fits spiky, automated workloads — an agent that enriches a thousand accounts this week and none the next. Crunchbase has broadly been sold on a subscription basis through its web app; we describe Crunchbase only in broadly-known terms — confirm its current features and pricing on Crunchbase’s own site.
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. See the pricing page (/#pricing) for the latest rate.
Side by side
| abm.dev | Crunchbase | |
|---|---|---|
| Built for | AI agents and pipelines | People searching for company & funding data |
| Primary interface | Enrichment API + agent-native discovery (llms.txt, agent-tools.json, openapi.json) | Web app + search/prospecting tools (broadly known) |
| Per-field citations | Yes — source on each field | Not asserted here |
| Per-field confidence | Yes — confidence scores returned | Not asserted here |
| Selection reason | Yes — why each value was chosen | Not asserted here |
| Data model | Live resolution per call; quality over quantity (cited, scored) | Searchable company/funding database (broadly known) |
| Sources per call | Ten sources (LinkedIn, Companies House, …), reconciled into eighty-nine fields | Not asserted here |
| Pricing model | Per-enrichment, no subscription, credits never expire | Subscription, via web app (broadly known) |
Where a cell says “not asserted here,” that’s deliberate — those are claims we won’t invent about another product. Confirm them on Crunchbase’s own site.
When Crunchbase is the better answer
Reach for Crunchbase if a person is exploring the market by hand — tracking startups, investors, and funding rounds, searching and prospecting through a web app. For browsing company and funding data, it’s a well-known, mature product, and a dashboard you read is exactly the right shape for that work.
When abm.dev is the better answer
Reach for abm.dev if your “user” is an agent. If you’re building GTM automations that need data which can defend itself — every field sourced, scored, and explained — resolved live at call time, discoverable and callable without glue, and priced per call rather than per seat. Built for autonomous agent loops, not human browsing.
Most ABM doesn’t fail on strategy. It fails on data and tooling — facts that age between refreshes, scattered across products, and built for people to read instead of the agents and pipelines teams actually run now. That’s the gap abm.dev was built for.
Looking for a Crunchbase alternative?
People looking for a Crunchbase alternative usually need more than funding rounds — they want the whole account picture: people, roles, signals, contactability. abm.dev synthesises that from many sources into one cited record per company or person, available as an API your tools can call.
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