abm.dev vs Clay
Clay and abm.dev get mentioned in the same breath, but they sit at different layers. Clay orchestrates many providers into workflows. abm.dev is one cited enrichment source you — or Clay — can call. This page lays out the difference honestly, framed for the thing that’s changed: the buyer is increasingly an agent, not a person at a spreadsheet.
A great rep once knew every account. Now your agents do.
The short version
Clay is a GTM data-orchestration tool — a spreadsheet-like workspace where growth and ops teams aggregate many third-party enrichment providers and AI steps into automated workflows, on a credit-based model. Its center of gravity is the workflow: you wire providers together, fill columns, and run them across a list. For teams that want to compose their own stack in one place, that’s a real strength.
abm.dev is account-based marketing enrichment built for AI agents. The core is one API call: hand it a person or company, get back verified contact data plus synthesized account research — built to be called inside your own agents and pipelines, not assembled in a UI.
Different layers, not rivals. One orchestrates providers. One is a single, cited provider you can plug into anything — including Clay.
What matters when an agent is the consumer
A human can eyeball a row in a table and sense whether it’s right. 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 its source, a confidence score from zero to one, and why it was chosen (its selection_reason). There’s a fieldAttribution array of value, confidence, and per-source citations, plus an email verification level and confidence on emails. An agent can branch on that — trust the high-confidence email, set aside the title it doesn’t rate, route on the source. The judgment moves into the loop, where the agent can act on it.
This is the heart of the difference. An orchestration layer stitches outputs from many providers into your columns; what each value carries depends on the provider behind it. An agent-first source 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.
Ten sources, one call
abm.dev resolves 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, all ten sources included. No per-source bills, no per-field charges, no stitching vendors together 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 record you then have to interpret.
Live data, quality over quantity
abm.dev resolves each enrichment live, at the moment you call it — live web research through Perplexity and Tavily, email verification through Hunter, plus LinkedIn, Companies House, and others. The answer reflects the world when you ask, not a snapshot from whenever a record was last crawled. Resolution happens at query time, by design.
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 — and a value is returned only if it can be cited. No padding a record to look complete. Where coverage-first vendors optimise for the size of a maintained database, abm.dev optimises for live, cited, scored values: one reconciled answer you can trust, not many providers’ possibly conflicting, separately-billed outputs. You get less, and you can trust all of it.
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. There’s also an MCP server at https://mcp.abm.dev/mcp exposing 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 workspace-centric product is reached primarily through its app and its workflows — excellent if your team composes its stack there, 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 in each enrichment — no per-source bills, no per-field charges. It starts from about twenty-nine cents per enrichment. Clay is broadly known to be credit-based; check Clay’s own docs for current 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 | Clay | |
|---|---|---|
| Built for | AI agents and pipelines | Growth and ops teams composing workflows |
| Primary interface | Enrichment API + agent-native discovery (llms.txt, agent-tools.json, openapi.json) + MCP | Spreadsheet-like workspace + workflows (broadly known) |
| Per-field citations | Yes — source on each field | Not asserted here. See Clay’s own docs |
| Per-field confidence | Yes — confidence scores returned | Not asserted here. See Clay’s own docs |
| Selection reason | Yes — why each value was chosen | Not asserted here. See Clay’s own docs |
| Sources per call | Ten, reconciled into eighty-nine fields | Orchestrates many third-party providers (general) |
| Data model | Live resolution per call; quality over quantity (cited, scored) | Orchestrates many third-party providers’ outputs (general) |
| Pricing model | Per-enrichment, no subscription, credits never expire | Credit-based (general) |
Where a cell says “not asserted here,” that’s deliberate — those are claims we won’t invent about another product. Confirm them against Clay’s own documentation.
When each one fits
Reach for Clay if you want to compose your own stack — pull from many providers, add AI steps, and run it all across a list in one spreadsheet-like workspace. For a growth or ops team that wants to orchestrate the pipeline itself, that flexibility is the point. abm.dev can sit inside that workspace as one of the sources Clay calls.
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, ten sources reconciled in one call, 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 Clay alternative?
People seeking a Clay alternative are often less tired of Clay than of being the orchestrator — tuning waterfalls, managing per-provider credits, owning the plumbing. abm.dev collapses that: one call, multi-source synthesis on our side, one price, citations included. If you love the spreadsheet canvas, keep it — abm.dev also works as a single high-depth provider inside Clay.
Try it: bring a LinkedIn URL or a name plus company and watch it come back enriched. The playground is free, and open beta ships around twenty dollars in free credits — guides at abm.dev/resources.
Questions? Contact support