Best funding data API for AI agents
An agent needs different things from a funding API than a human analyst does: a self-serve key(agents can't sit through a sales cycle), low median and p90 latency (one slow call stalls the whole run), structured output it can act on, and a correct latest funding stage — a wrong stage is a wrong routing decision, silently.
All four are measured here, not asserted: seven self-serve startup funding data APIs, the same 300 companies, every stage judged against source-verified funding events. The gated incumbents (Crunchbase, PitchBook) aren't options an agent can sign up for — covered honestly here.
most correct latest stageFiber77.2%
The best funding API, by the constraint your agent hits
No single winner — route by what your agent is bounded by. Every leader measured on the same 300 companies.
Fiber — most correct latest funding stage (77.2% correct stage yield).
People Data Labs — fastest (275 ms median latency).
Ocean.io — cheapest at public self-serve rates ($1.84 for the 300-company run).
| Your agent's constraint | Pick by | Current leader |
|---|---|---|
| Correct routing decisions from the latest stage | highest correct stage yield | Fiber 77.2% |
| Inline enrichment inside the agent loop | lowest median latency | People Data Labs 275 ms |
| Batch runs that can't afford a stalled call | lowest p90 latency | People Data Labs 336 ms |
| Prototype budget, usage-based | cheapest at self-serve rates | Ocean.io $1.84 |
Seven self-serve APIs an agent can call today
Ranked by correct stage yield, with both latency percentiles beside it. The full leaderboard adds field coverage, resolution, and cost.
| # | Provider | Correct stage yield | Median latency | p90 latency |
|---|---|---|---|---|
| 1 | Fiber | 77.2% | 630 ms | 759 ms |
| 2 | Apollo | 56.0% | 286 ms | 404 ms |
| 3 | People Data Labs | 49.3% | 275 ms | 336 ms |
| 4 | PredictLeads | 43.3% | 562 ms | 615 ms |
| 5 | CompanyEnrich | 35.8% | 341 ms | 574 ms |
| 6 | Explorium | 14.9% | 696 ms | 1,200 ms |
| 7 | Ocean.io | 4.1% | 548 ms | 916 ms |
Funding data for AI agents — common questions
What's the best funding data API for AI agents?
Split it by the constraint your agent actually hits: for correct routing decisions, Fiber returns the most correct latest funding stages (77.2% correct stage yield); for inline calls, People Data Labs is fastest (275 ms median), with People Data Labs best on p90 tail latency (336 ms); Ocean.io is cheapest at self-serve rates ($1.84 for the 300-company run). All seven are self-serve, so an agent builder can get a key today without a sales call.
Can an AI agent use the Crunchbase or PitchBook API?
Not self-serve. Crunchbase's full API is sales-licensed (their FAQ describes customized pricing arranged through the sales team) and PitchBook's API requires a standalone enterprise contract — an agent builder can't programmatically sign up for either. That's why this ranking covers the seven self-serve APIs an agent can actually call; the gated incumbents are covered honestly on the Crunchbase alternatives page.
What latency matters for an agent calling a funding API?
Both ends of the distribution. Median latency sets your loop's normal speed (current leader: People Data Labs at 275 ms), but p90 is what stalls an agent run — one slow call in a 10-account batch is the batch's latency. People Data Labs currently has the best p90 (336 ms). Both are measured from one request per provider per company on the same 300 domains.
Why does self-serve access matter for agent workflows?
Three reasons: an agent builder can provision a key programmatically instead of through a sales cycle; usage-based self-serve pricing scales down to prototypes; and self-serve terms are what make independent measurement possible at all — every number on this page is reproducible by anyone with a keyboard, which is also true for your agent's evals.