abm.dev vs Demandbase
If you’re weighing a platform for account-based marketing, you’ll likely look at Demandbase alongside abm.dev. They sit in the same category and solve the 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
Demandbase is an enterprise account-based marketing platform. It spans advertising, account intelligence, and sales-engagement orchestration, used through a dashboard and sold on enterprise subscriptions. It’s a broad suite for human teams running ABM end to end — and for an organization that wants one platform to plan, target, and orchestrate across functions, that breadth is a real strength.
abm.dev is account-based marketing built for AI agents. The core is an enrichment API: hand it a person or company, get back verified, cited account data in one response — built to be called inside your own agents and pipelines, not watched in a UI. Developer-first, agent-first.
Same category. Different reader. One was built for a team operating a platform. 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 something is off. 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. Every value carries three things: its source, a confidence score from zero to one, and a selection_reason — why that value was chosen. There’s a fieldAttribution array of field, value, and confidence with per-source citations, plus an email_verification_level and confidence on emails. An agent can branch on that: trust the high-confidence email, re-check the title it doesn’t rate, ignore a source it doesn’t trust. The judgment moves into the loop, where the agent can act on it, instead of staying in a person’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.” A value is cited or it is not returned. No fabricated facts. No silent fallbacks.
Live data, quality over quantity
abm.dev resolves each enrichment live, at the moment you call it. The answer is assembled across its sources at query time — live web research through Perplexity and Tavily, email verification through Hunter, plus LinkedIn, Companies House, and others — so it reflects the world as it is 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. abm.dev’s pitch is the opposite: fewer values, but every one carries its source, a confidence score from zero to one, and a selection_reason. A value is returned only if it can be cited. No padding a record to look complete. No fabricated facts. You get less, and you can trust all of it.
Ten sources, one call
abm.dev resolves from ten data sources — LinkedIn, Companies House, Perplexity, Tavily, Hunter, and others — behind a single call, reconciled into eighty-nine canonical fields (forty-three person, forty-six company) plus forty signals. One request, POST /api/v2/enrichments, one normalized shape. No per-source bills, no stitching vendors together by hand, no reconciling conflicting records yourself.
It’s also goal-aware: pass a goal_override — an ICP or persona — and it shapes and scores the result for that goal, 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 at the root, reachable over plain REST. Both x-api-key and Authorization: Bearer are accepted. There’s an MCP server at https://mcp.abm.dev/mcp with enrich_entity and get_enrichment_status tools — in Claude, add it under Settings, Connectors, Custom. A Claude, OpenAI, LangChain, CrewAI, Cursor, Claude Code, or Windsurf agent can find the tools and call them with little glue. The integration target is the agent, not the human operator.
A dashboard-centric platform is reached primarily through its app — excellent if your team lives in that platform, 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. Credits never expire, and all ten sources are included — no per-source bills, no per-field charges. Packs start around twenty-nine cents per enrichment. That fits spiky, automated workloads — an agent that enriches a thousand accounts this week and none the next. Enterprise ABM platforms in the Demandbase category are generally sold on enterprise subscriptions; check Demandbase’s own docs for specifics, as we don’t quote competitor pricing here.
The playground is free, and 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 | Demandbase | |
|---|---|---|
| Built for | AI agents and pipelines | Human teams running ABM end to end |
| Primary interface | Enrichment API + agent-native discovery (llms.txt, agent-tools.json, openapi.json) + MCP | Platform dashboard (broadly known) |
| Per-field citations | Yes — source on each field | Not asserted here / see Demandbase’s own docs |
| Per-field confidence | Yes — confidence from zero to one | Not asserted here / see Demandbase’s own docs |
| Selection reason | Yes — why each value was chosen | Not asserted here / see Demandbase’s own docs |
| Sources per call | Ten sources, reconciled into eighty-nine fields | Not asserted here / see Demandbase’s own docs |
| Data model | Live resolution per call; quality over quantity (cited, scored) | Maintained database (broadly known) |
| Goal-aware output | Yes — scored/structured to your ICP or persona | Not asserted here / see Demandbase’s own docs |
| Pricing model | Per-enrichment, no subscription | Enterprise subscription (broadly known) |
Where a cell says “not asserted here,” that’s deliberate — those are claims we won’t invent about another product. Confirm them against Demandbase’s own documentation.
When each one fits
Reach for Demandbase ifyou want one enterprise platform to plan, target, and orchestrate ABM across advertising, account intelligence, and sales engagement — a broad suite for human teams operating in a dashboard. That breadth, and that enterprise footprint, is where it’s the stronger answer.
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 — resolved from ten sources in one call, discoverable and callable over REST and MCP 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 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 Demandbase alternative?
Looking for a Demandbase alternative tends to mean you want account-based data without buying an account-based platform. abm.dev takes the platform out of the equation: your agents and workflows orchestrate, we supply the enriched, cited account and person records they run on — priced per call, not per contract.
Try it: bring a LinkedIn URL or a name plus company and watch it come back enriched and cited. The playground is free, and open beta comes with around twenty dollars in free credits — guides at abm.dev/resources.
Questions? Contact support