abm.dev vs 6sense
If you’re weighing an account-based platform, you’ll likely look at abm.dev and 6sense. They sit in the same broad category and solve it 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
6sense is an enterprise account-based platform centered on intent data and predictive analytics. It identifies in-market accounts and helps teams orchestrate ABM programs through a dashboard, sold to larger organizations on enterprise subscriptions. Its center of gravity is intent and predictive orchestration for human teams. For an enterprise revenue team running coordinated programs, that’s a real strength.
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 watched in a UI.
Same category. Different reader. One was built for a revenue team in a dashboard. 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 sound. 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 from zero to one, and why it was chosen (its selection_reason). An agent can branch on that — trust the high-confidence email, re-check the title it doesn’t rate, ignore the source it doesn’t trust. 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.” 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 call time, across its sources — live web research via Perplexity and Tavily, email verification via Hunter, plus LinkedIn, Companies House, and others. The answer reflects the world at the moment 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 a selection_reason. A value is returned 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 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, one normalized shape. No per-source bills, no stitching three vendors together by hand, no reconciling conflicting records yourself.
It’s also goal-aware: pass a goal_override — your 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 — and it’s reachable over a plain REST API. One call: POST /api/v2/enrichments. There’s also an MCP server at https://mcp.abm.dev/mcp with tools like enrich_entity and get_enrichment_status. 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 platform built around intent and predictive orchestration is reached primarily through its app — excellent if your team lives in that dashboard, 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 never expire. All ten sources are included — no per-source bills, no per-field charges. It starts from about €0.29 per enrichment, in packs (thirty for €2.89, one hundred for €9.29, five hundred for €36.99, two thousand for €119.99). That fits spiky, automated workloads — an agent that enriches a thousand accounts this week and none the next. Enterprise platforms in 6sense’s category are generally sold on enterprise subscriptions; we don’t quote competitor pricing here, so check 6sense’s own terms for specifics.
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 | 6sense | |
|---|---|---|
| Built for | AI agents and pipelines | Enterprise revenue teams (broadly known) |
| 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 6sense’s own docs |
| Per-field confidence | Yes — confidence scores from zero to one | Not asserted here — see 6sense’s own docs |
| Selection reason | Yes — why each value was chosen | Not asserted here — see 6sense’s own docs |
| Sources per call | Ten sources, reconciled into eighty-nine fields | Not asserted here — see 6sense’s own docs |
| Data model | Live resolution per call; quality over quantity (cited, scored) | Not asserted here — see 6sense’s own docs |
| Pricing model | Per-enrichment, no subscription, credits never expire | 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 6sense’s own documentation.
When each one fits
When 6sense is the better answer:you’re an enterprise revenue team that wants intent data and predictive analytics to surface in-market accounts, with a dashboard to orchestrate coordinated ABM programs across sales and marketing. That’s its center of gravity, and for people operating those programs it does something abm.dev doesn’t set out to do.
When abm.dev is the better answer:your “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 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 6sense alternative?
A 6sense alternative search usually means the platform is more than you need: you wanted account intelligence, and got an enterprise suite with a contract to match. If what you actually need is rich, defensible account and person data your own tools can act on, abm.dev delivers exactly that layer — API-first, per-record, with the evidence attached.
Try it: bring a LinkedIn URL or a name plus company and watch it come back enriched. The playground is free; open beta, around twenty dollars in free credits — guides at abm.dev/resources.
Questions? Contact support