B2B enrichment
B2B Enrichment Pricing for Agent Workloads: No Subscription, No Per-Field Bills
A great rep once knew every account. Now your agents do.
The problem is the bill that comes with teaching them.
Most enrichment APIs were priced for humans — a dashboard, a monthly seat, a CSV export on Friday afternoon. Agents don't work that way. They fire at three in the morning. They enrich ten thousand records before your first coffee. They loop, retry, and branch. A pricing model built for a human workflow breaks fast when a machine is driving.
Here's what that actually costs you — and what a cleaner model looks like.
The Hidden Tax on "Pay-Per-Result" Pricing
Several enrichment APIs advertise pay-per-result pricing. The pitch: you only pay when a lookup succeeds. Failed enrichments don't count. Sounds fair.
Read the fine print.
Most of those APIs still require a monthly subscription to access pay-per-result tiers at all. You're paying before the first record is touched. The subscription is the floor. The per-result charge is the ceiling. Your agent workload lives somewhere in between, and you're covering both.
For a growth engineer running sporadic enrichment bursts — a new account list before a campaign, a webhook trigger on inbound signups — that subscription is dead weight. You're not enriching continuously. You're enriching in spikes. A fixed monthly fee penalizes exactly the workload agents produce.
Independent roundups of enrichment API tools catalogue this pattern across the major players. Subscription gates, per-seat fees, credit packages that expire. The pricing structures assume a human is watching the dashboard and renewing intentionally. They weren't designed for autonomous loops.
The Per-Field Problem
Subscriptions are one tax. Per-field billing is another.
Some enrichment providers charge by the data point. Want job title? That's one credit. Add company headcount, industry, and LinkedIn URL — that's four. Run eighty-nine fields across a thousand records and the math turns ugly fast.
For agents, this is worse than inconvenient. An agent reasoning over an account needs context — the full picture, not a curated slice. If you're rationing fields to manage costs, you're rationing the quality of every downstream decision. The agent personalizes against incomplete data. The outreach is off. The meeting doesn't book.
No per-field pricing. No rationing. The agent gets the full record or it gets nothing useful.
What Eighty-Nine Canonical Fields Actually Means
abm.dev returns eighty-nine canonical fields per enrichment: forty-three on the person, forty-six on the company. Every field carries three things the field value alone can't give you: a citation, a source attribution, and a confidence score.
That last part matters more than it sounds.
Agents acting on bad data at machine speed cause machine-speed damage. A wrong job title routes the wrong message. A stale funding round changes the entire pitch. Without provenance — without knowing where a data point came from and how confident the system is in it — your agent is flying blind. It can't reason about uncertainty. It can't flag a low-confidence field and ask for human review. It just acts.
Citation and confidence scores aren't metadata overhead. They're the difference between an agent that reasons and an agent that hallucinates strategy.
One Call. Ten Providers. One Bill.
The other enrichment tax is integration sprawl. Stitching together multiple enrichment tools — LinkedIn data here, company firmographics there, email verification from another vendor — is engineering time that doesn't ship features. It's also multiple failure modes, multiple rate limits, multiple billing relationships, and multiple sources of conflicting data you have to reconcile yourself.
abm.dev aggregates ten data sources in one API call. One key. One response. Aggregated, deduped, reconciled on the way out.
No per-source charges. No per-field charges. One enrichment, one credit.
The sources behind that single call include the providers your agents would otherwise query separately — coverage across LinkedIn profile data, company intelligence, email verification, and more. You don't manage the fan-out. The API does.
Pricing That Fits Agent Economics
Here's the actual model:
- Credits from €2.89 — thirty credits, €0.29 per enrichment at entry
- Down to €0.06 per credit at two thousand credits
- Credits never expire
- No subscription required
- The playground is free
That last point is worth sitting with. No subscription means no floor. You pay for what you enrich, nothing more. A founder running a pilot campaign, a RevOps team testing a new account list, a growth engineer wiring up a new agent loop — none of them are paying a monthly fee to find out if the data is good.
And because credits never expire, burst workloads don't punish you. Buy two thousand credits. Use five hundred this month, three hundred next month, the rest when the next campaign fires. The economics match the workload instead of forcing the workload to match a billing calendar.
Built for the Agent Loop, Not the Dashboard
Data quality and pricing model matter. So does the interface.
abm.dev ships a Claude Connector — a native integration that lets an agent call Search, Enrich, and Create directly over the Model Context Protocol (MCP). No custom wrapper. No middleware layer. The agent calls the tool, gets the enriched record with citations and confidence scores, and reasons from there.
Built for autonomous agent loops, not human dashboard-watching.
That means a Claude-powered agent can identify a target account, search for the right contact, enrich the full record, verify the data provenance, and draft a personalized message — in a single loop. The rep workflow, automated end-to-end. Personalization, at scale.
The Bottom Line
Enrichment pricing for agent workloads needs three things the legacy model doesn't offer:
- No subscription floor — pay only when you enrich
- No per-field rationing — the agent gets the full record, with provenance
- No integration sprawl — one call, ten sources, one bill
Most enrichment APIs were built before agents were the primary consumer. Their pricing reflects that. Subscriptions, expiring credits, per-field charges, per-source complexity — all of it made sense when a human was logging in once a week.
When the agent is logging in ten thousand times before dawn, the model breaks.
Try abm.dev Free
The playground is free. No subscription required to see what eighty-nine fields with citations looks like on a real account.
When you're ready to run at scale, launch credits are available now — use code LAUNCHCODES at checkout.
Try abm.dev — the account-based marketing API for AI agents.
A great rep once knew every account. Now your agents do.
Stuart McLeod · Co-founder, abm.dev