Best company funding data API
The developer's question isn't “which database” — it's which self-serve endpoint to call: one company domain in, structured latest-stage funding out. Seven APIs you can sign up for without a sales call, ranked on correct stage, latency, and real cost — measured on the same 300 companies against source-verified funding events.
Accuracy, speed, and price rarely come from the same provider, so the table shows all three side by side with each endpoint and its public self-serve rate.
most correct latest stageFiber77.2%
The best funding data API, by what you optimize for
Pick the endpoint that matches your constraint — correctness, speed, or cost. Every leader is measured on the same 300 companies.
| You optimize for | Pick by | Current leader |
|---|---|---|
| Most correct latest-stage data | highest correct stage yield | Fiber 77.2% |
| Lowest latency for inline agent calls | lowest median latency | People Data Labs 275 ms |
| Lowest cost at public self-serve rates | cheapest for the cohort | Ocean.io $1.84 |
| Resolve the most company domains | highest resolution rate | CompanyEnrich 97.7% |
Seven funding data API endpoints — accuracy, latency & cost
Each provider's documented endpoint with its measured stage yield, median latency, observed cost on the run, and public rate. The full leaderboard adds coverage and resolution.
| # | Provider & endpoint | Correct stage yield | Median latency | Est. cost (300) | Rate |
|---|---|---|---|---|---|
| 1 | Fiber POST /v1/company-search | 77.2% | 630 ms | $6.82 | $0.020 / credit |
| 2 | Apollo GET /api/v1/organizations/enrich | 56.0% | 286 ms | $5.70 | $0.0196 / modeled credit |
| 3 | People Data Labs GET /v5/company/enrich | 49.3% | 275 ms | $29 | $0.10 / successful match |
| 4 | PredictLeads GET /api/v3/companies/{domain}/financing_events | 43.3% | 562 ms | $8.00 | $0.04 / request · 100 free |
| 5 | CompanyEnrich GET /companies/enrich | 35.8% | 341 ms | $2.94 | $0.0098 / credit |
| 6 | Explorium POST /v1/businesses/match + funding_and_acquisition/bulk_enrich | 14.9% | 696 ms | $18 | $0.04 / request proxy |
| 7 | Ocean.io POST /v2/enrich/company | 4.1% | 548 ms | $1.84 | $0.064 / credit |
Coming from Crunchbase's gated API? Crunchbase API alternatives, measured →
Company funding data API — common questions
What's the best company funding data API for developers?
For a self-serve endpoint — one company domain in, structured latest-stage funding out — Fiber returned the most correct latest stages on 300 companies (77.2% correct stage yield), while People Data Labs was fastest at 275 ms median latency, and Ocean.io was cheapest at $1.84 for the run. All seven are self-serve, so you can trial them without a sales call.
What's the cheapest company funding data API?
At observed usage on this run, Ocean.io was cheapest ($1.84 for 300 companies at public self-serve rates). Cost is shown beside accuracy so the cheapest endpoint isn't confused with the most correct — Fiber leads on correct stage yield (77.2%). Each provider's rate and plan floor are in the table above.
Which funding data API is fastest for real-time agent flows?
People Data Labs had the lowest median latency (275 ms) on this run, measured as one request per company through each provider's documented endpoint. For an agent that enriches funding inline, weigh that against correct stage yield — the two don't always come from the same provider.
How much does a company funding data API cost?
It depends on billing basis — per successful match, per credit, or per request — and on plan minimums. The table above converts each provider's observed usage on the 300-company run to public self-serve rates, with the per-unit rate and monthly plan floor listed so you can model your own volume. Opaque endpoint pricing is flagged rather than guessed.
Is there a self-serve alternative to the Crunchbase API?
Yes — Crunchbase's funding API is gated to paid Business/Enterprise plans, so developers who want a self-serve endpoint use one of the seven ranked here. See the dedicated Crunchbase alternatives comparison for the head-to-head against the gated incumbents.