Real-time funding data
Funding rounds are announced continuously, and providers ingest them at different speeds. So “real-time” funding data is a testable claim, not a tagline — and this benchmark tests it by over-sampling recent rounds: 37 companies funded in the last 7 days, 129 in the last 8–90 days, each tied to a primary-source announcement. A provider that hasn't ingested a round yet returns a stale stage — and it shows.
Freshness surfaces as correct latest-stage yield on the recent slices; for agent flows, median latency is measured beside it. Same seven providers, same 300 companies.
correct on recent roundsFiber77.2%
Freshest and fastest, by constraint
Freshness (correct on recent rounds) and speed (median latency) are different axes — this splits them so a real-time agent flow can weigh both.
| Your constraint | Pick by | Current leader |
|---|---|---|
| Most correct on recent funding rounds | highest correct stage yield | Fiber 77.2% |
| Fastest call for a real-time agent flow | lowest median latency | People Data Labs 275 ms |
| Returns a stage on the most companies | highest stage fill rate | Fiber 91.8% |
Seven providers on recent-round correctness
The full leaderboardshows the recency-cohort design and every provider's latency and cost side by side.
| # | Provider | Correct stage yield | Median latency |
|---|---|---|---|
| 1 | Fiber | 77.2% | 630 ms |
| 2 | Apollo | 56.0% | 286 ms |
| 3 | People Data Labs | 49.3% | 275 ms |
| 4 | PredictLeads | 43.3% | 562 ms |
| 5 | CompanyEnrich | 35.8% | 341 ms |
| 6 | Explorium | 14.9% | 696 ms |
| 7 | Ocean.io | 4.1% | 548 ms |
Real-time funding data — common questions
Which funding data API has the freshest, most up-to-date data?
Freshness is measured here as correct latest-stage yield on a cohort that deliberately over-samples recent rounds — 37 companies funded in the last 7 days and 129 in the last 8–90 days, included specifically to expose update lag. A provider whose data is stale gets the recent stage wrong; the one that stays correct leads: Fiber at 77.2% correct stage yield overall.
Is there a real-time funding data API for agents?
For a real-time agent flow, two things matter: is the funding stage current, and how fast does the call return. People Data Labs is fastest at 275 ms median latency, while Fiber returns the most correct latest stages (77.2%). Both are measured on the same 300 companies, so you can trade speed against correctness with real numbers.
How is funding-data freshness actually tested?
By design of the cohort. Instead of mostly old, easy records, the benchmark over-samples companies with a recent funding transition — a last-7-days slice, an 8–90-days slice, and a 3–24-months slice — each tied to a primary-source announcement (company newsroom, wire, or filing). A provider that hasn't ingested a round yet returns a stale stage, which shows up directly as lower correct stage yield on the recent slices.
Why does funding data go stale, and does it matter for GTM?
Funding rounds are announced continuously, and providers ingest them at different speeds — some within days, some weeks later. For GTM triggers (a company just raised, so reach out now), a stale stage means a missed or mistimed play. That's why freshness is a first-class axis here rather than an afterthought: the newest rounds are exactly where providers diverge most.