benchmarks/company funding/pitchbook alternatives
pitchbook alternatives · funding data API

PitchBook alternatives for funding data

PitchBook is enterprise software: seats, data feeds, and an API that its own help pages describe as a separate offering requiring a standalone contract. If what you actually need is programmatic funding data — a company domain in, its latest stage and rounds out — the practical alternatives are the self-serve APIs a developer can sign up for today.

Seven of them are measured here on the same 300 companies against source-verified funding events. Measured numbers, not a listicle.

best measured alternativeFiber77.2%

open data + codeInputs, normalized provider outputs, and evaluation code are public in openbenchmarks-labs/company-funding.github →

Seven APIs you can test today, ranked on correct stage yield

Ranked by correct latest-stage yield on the same 300 companies. The full leaderboard adds field coverage, resolution, latency, and cost side by side.

#ProviderCorrect stage yieldMedian latency
1Fiber77.2%630 ms
2Apollo56.0%286 ms
3People Data Labs49.3%275 ms
4PredictLeads43.3%562 ms
5CompanyEnrich35.8%341 ms
6Explorium14.9%696 ms
7Ocean.io4.1%548 ms

Coming from Crunchbase instead? Crunchbase alternatives, measured →

PitchBook, Crunchbase & Harmonic — what their own pages say

None of the three exposes a self-serve funding API on identical terms, so their accuracy can't be scored — here or anywhere. What can be stated honestly, with sources:

NameThe verifiable factSource
CrunchbaseFull API access is sales-licensed — their FAQ describes customized pricing by use case and volume, arranged through the sales team. The Basic plan exposes only limited Basic APIs, not the funding search endpoints.their own page (2026-07-17)
PitchBookThe API is described on their own help pages as a separate offering from the PitchBook Platform that requires a standalone contract agreement, arranged through their Direct Data team — no self-serve signup.their own page (2026-07-17)
HarmonicOffers an API (REST/GraphQL) but publishes no self-serve per-unit pricing — the pricing page routes every plan, including API access, to a demo/sales conversation.their own page (2026-07-17)

PitchBook alternatives — common questions

What are the best PitchBook alternatives for company funding data?

It depends what you used PitchBook for. For deep private-market research (funds, LPs, deal analytics), the honest answer is that nothing self-serve replicates it. For the funding-data slice — a company in, its latest funding stage and rounds out — seven self-serve APIs are measured head-to-head here: Fiber leads on correct latest stage (77.2% correct stage yield), Fiber on accuracy when a stage is returned (84.2%), and Ocean.io is cheapest at self-serve rates ($1.84 for the 300-company run).

Is there a self-serve PitchBook API alternative for developers?

Yes — that's the gap this page exists for. PitchBook's own help pages describe the API as a separate offering requiring a standalone contract through their Direct Data team, so a developer can't just sign up and call it. All seven providers ranked here are self-serve: People Data Labs is fastest (275 ms median latency), and every one can be trialed without a sales call.

PitchBook vs Crunchbase — which is better for funding data?

Neither can be measured on identical self-serve terms: PitchBook's API needs a standalone enterprise contract and Crunchbase's full API is sales-licensed with customized pricing. Any ranking of the two is therefore a claim, not a measurement. If you need programmatic funding data without an enterprise contract, the measurable comparison is among the self-serve providers on this page — same companies, same reference data, public evidence.

What's a cheaper alternative to PitchBook for funding data?

PitchBook doesn't publish self-serve pricing, so a direct price comparison isn't possible — but at public self-serve rates, the measured providers ran $1.84 (Ocean.io, cheapest) and up for the 300-company cohort. Cost sits beside accuracy on the benchmark so cheap isn't confused with correct.