---
title: "Crunchbase alternatives for funding data (2026): measured against every benchmarked provider | Openbenchmarks"
description: "An independent 2026 benchmark scores every self-serve alternative to Crunchbase on latest funding stage, resolution, field coverage, latency and cost."
url: https://openbenchmarks.com/company-funding/crunchbase-alternatives
---

[](https://openbenchmarks.com/) 

[← company funding benchmark](https://openbenchmarks.com/company-funding) 

[benchmarks](https://openbenchmarks.com/) / [company funding](https://openbenchmarks.com/company-funding) / crunchbase alternatives 

crunchbase alternatives · funding data API

# Crunchbase alternatives for funding data

Crunchbase's funding API is gated to paid Business and Enterprise plans. If you want **self-serve startup funding data through an API**, the question becomes which of the reachable providers is actually correct. Every provider here was called on the same companies and graded against source-verified rounds.

23 measured endpoints received the same company domains and were scored on **correct latest funding stage** against source-verified funding events. That includes Crunchbase, measured from an exported dataset, alongside APIs and structured web research providers. Crunchbase's API remains sales-licensed; Harmonic is included from an audited supplied export. PitchBook and Tracxn serve private-market investor research, including PE workflows, rather than comparable self-serve GTM sales enrichment.

Moving off Crunchbase means replacing two things. The historical record you already query, and the rounds announced since you last looked. Both boards are below so a candidate can be checked on both before you commit, because strength on one does not carry over to the other.

The 17 measured providers are Apollo, CompanyEnrich, Crunchbase, Crustdata, Exa, Explorium, Fiber, Firecrawl, Fundable, Harmonic, Nimble, Ocean.io, Parallel, People Data Labs, PredictLeads, Seltz, and ZoomInfo. Several are measured on more than one endpoint, for 23 arms in total.

[open data + code Inputs, normalized provider outputs, and evaluation code are public in openbenchmarks-labs/company-funding. github → ](https://github.com/openbenchmarks-labs/company-funding "Open the public data + code mirror on GitHub") 

\[01\] measured results

## Which alternatives keep up with new rounds.

The rolling board. If you are replacing Crunchbase because your records go stale, this is the board that answers it. This is the rolling freshness board, pooled across every dated snapshot, so each row carries the number of companies that provider was measured on. The [company funding benchmark](https://openbenchmarks.com/company-funding) has other vendors that were benchmarked on the same input data. The [methodology](https://openbenchmarks.com/company-funding#methodology) covers cohort design, Ground Truth and the judging rules.

benchmarks/funding/freshness rolling 

__Funding providers compared on rounds announced in the last 30 days (window ending 2026-09-13)__
| Provider | Endpoint & configuration | Measured on | Latest stage correct | Correct when returned | Latest stage returned | Funding fields returned | Fields returned | Median latency | Est. cost | Official docs | Company identified |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Long Running Agent APIs | | | | | | | | | | | |
| [ Exa ](https://exa.ai) | POST /agent/runs effort=medium · JSON schema | **100** company measurements · 2 snapshots | 97.0% | 97.9% | 96.0% | 73.6% | 3.7 / 5 | 27,293 ms | **$10.00** $0.10 / request (medium effort) | [Exa official docs ↗ ](https://exa.ai/docs/reference/agent-api-guide) | 100.0% 100/100 domains |
| [ Firecrawl ](https://firecrawl.dev) | POST /v2/agent model=spark-2 · JSON schema · maxCredits capped per run | **50** company measurements · 1 snapshot | 100.0% | 100.0% | 98.0% | 87.2% | 4.4 / 5 | 102,203 ms | **$1.98** $0.59 / 1,000 credits | [Firecrawl official docs ↗ ](https://docs.firecrawl.dev/features/agent) | 100.0% 50/50 domains |
| [ Firecrawl ](https://firecrawl.dev) | POST /v2/agent model=spark-1-mini · JSON schema · maxCredits capped per run | **100** company measurements · 2 snapshots | 96.0% | 96.9% | 97.0% | 94.4% | 4.7 / 5 | 92,998 ms | **$9.95** $0.59 / 1,000 credits | [Firecrawl official docs ↗ ](https://docs.firecrawl.dev/features/agent) | 100.0% 100/100 domains |
| [ Parallel ](https://parallel.ai) | POST /v1/tasks/runs processor=core · structured JSON output | **181** company measurements · 3 snapshots | 95.0% | 96.0% | 95.6% | 86.7% | 4.3 / 5 | 62,142 ms | **$4.53** $25 / 1,000 Task runs | [Parallel official docs ↗ ](https://docs.parallel.ai/api-reference/tasks/create-task-run) | 100.0% 181/181 domains |
| Web search APIs | | | | | | | | | | | |
| [ Exa ](https://exa.ai) | POST /search type=instant · JSON schema | **100** company measurements · 2 snapshots | 98.0% | 99.0% | 95.0% | 90.2% | 4.5 / 5 | 1,618 ms | **$0.70** $0.007 / request | [Exa official docs ↗ ](https://exa.ai/docs/reference/search) | 100.0% 100/100 domains |
| [ Exa ](https://exa.ai) | POST /search type=deep-reasoning · JSON schema | **181** company measurements · 3 snapshots | 95.6% | 96.0% | 96.7% | 84.8% | 4.2 / 5 | 9,916 ms | **$2.71** $0.015 / request | [Exa official docs ↗ ](https://exa.ai/docs/reference/search) | 100.0% 181/181 domains |
| [ Nimble ](https://www.nimbleway.com) | POST /v2/search search\_depth=standard · focus=general · full\_content=false · 10 results · source-only funding extraction | **46** company measurements · 1 snapshot | 84.8% | 94.6% | 80.4% | 67.8% | 3.4 / 5 | 3,907 ms | **$1.18** $5 / 1,000 searches + extraction tokens | [Nimble official docs ↗ ](https://docs.nimbleway.com/api-reference/search/search) | 95.7% 44/46 domains |
| [ Nimble ](https://www.nimbleway.com) | POST /v2/search search\_depth=lite · focus=general · full\_content=false · 10 results · source-only funding extraction | **46** company measurements · 1 snapshot | 63.0% | 92.9% | 60.9% | 38.7% | 1.9 / 5 | 3,829 ms | **$0.23** $1.10 / 1,000 searches + extraction tokens | [Nimble official docs ↗ ](https://docs.nimbleway.com/api-reference/search/search) | 76.1% 35/46 domains |
| [ Parallel ](https://parallel.ai) | POST /v1/responses model=parallel · reasoning.effort=medium · text.format JSON schema | **100** company measurements · 2 snapshots | 90.0% | 90.6% | 96.0% | 82.6% | 4.1 / 5 | 17,020 ms | **$5.00** $50 / 1,000 Responses requests (medium reasoning) | [Parallel official docs ↗ ](https://docs.parallel.ai/api-reference/responses-api/create-response) | 100.0% 100/100 domains |
| [ Seltz ](https://seltz.ai) | POST /v1/answer scope=news · response\_format JSON | **100** company measurements · 2 snapshots | 71.0% | 85.9% | 78.0% | 57.8% | 2.9 / 5 | 2,109 ms | **\--** Pricing not disclosed | [Seltz official docs ↗ ](https://docs.seltz.ai/api-reference/answer) | 100.0% 100/100 domains |
| [ Seltz ](https://seltz.ai) | POST /v1/answer scope=companies · response\_format JSON | **100** company measurements · 2 snapshots | 22.0% | 32.8% | 67.0% | 62.6% | 3.1 / 5 | 2,118 ms | **\--** Pricing not disclosed | [Seltz official docs ↗ ](https://docs.seltz.ai/api-reference/answer) | 100.0% 100/100 domains |
| GTM data providers | | | | | | | | | | | |
| [ Apollo ](https://www.apollo.io) | GET /api/v1/organizations/enrich | **181** company measurements · 3 snapshots | 59.7% | 69.5% | 85.1% | 70.1% | 3.5 / 5 | 320 ms | **$3.44** $0.0196 / modeled credit | [Apollo official docs ↗ ](https://docs.apollo.io/reference/organization-enrichment) | 97.2% 176/181 domains |
| [ CompanyEnrich ](https://companyenrich.com) | GET /companies/enrich | **181** company measurements · 3 snapshots | 12.7% | 19.1% | 63.5% | 56.8% | 2.8 / 5 | 334 ms | **$1.77** $0.0098 / credit | [CompanyEnrich official docs ↗ ](https://docs.companyenrich.com/reference/get%5Fcompanies-enrich) | 96.7% 175/181 domains |
| [ Crustdata ](https://crustdata.com) | POST /company/enrich exact\_match=true · fields=\[funding\] · 25 domains/batch | **181** company measurements · 3 snapshots | 81.2% | 90.1% | 89.5% | 71.3% | 3.6 / 5 | 1,537 ms | **$54.30** $0.30 / response credit | [Crustdata official docs ↗ ](https://docs.crustdata.com/company-docs/enrichment/introduction) | 96.1% 174/181 domains |
| [ Explorium ](https://www.explorium.ai) | POST /v1/businesses/match + bulk\_enrich funding\_and\_acquisition enrichment | **181** company measurements · 3 snapshots | 5.5% | 13.6% | 36.5% | 40.4% | 2.0 / 5 | 715 ms | **$11.00** $0.04 / request proxy | [Explorium official docs ↗ ](https://explorium-api.readme.io/reference/match%5Fbusinesses) | 44.8% 81/181 domains |
| [ Fiber ](https://www.fiber.ai) | POST /v1/company-search | **181** company measurements · 3 snapshots | 74.6% | 80.2% | 92.3% | 88.3% | 4.4 / 5 | 615 ms | **$4.11** $0.020 / credit | [Fiber official docs ↗ ](https://api.fiber.ai/docs/) | 97.8% 177/181 domains |
| [ Fundable ](https://www.tryfundable.ai) | GET /api/v1/company domain query parameter | **100** company measurements · 2 snapshots | 84.0% | 92.3% | 91.0% | 91.0% | 4.5 / 5 | 1,300 ms | **$3.53** $0.05 / credit | [Fundable official docs ↗ ](https://docs.tryfundable.ai/) | 91.0% 91/100 domains |
| [ Harmonic (exported dataset) ](https://www.harmonic.ai) | Supplied Harmonic company export identity-audited mapping · not an API run | **81** company measurements · 1 snapshot | 81.5% | 81.5% | 100.0% | 91.8% | 4.6 / 5 | \-- | **\--** Pricing not disclosed | [Harmonic (exported dataset) official docs ↗ ](https://console.harmonic.ai/docs/api-reference/introduction) | 100.0% 81/81 domains |
| [ Ocean.io ](https://www.ocean.io) | POST /v2/enrich/company | **181** company measurements · 3 snapshots | 11.1% | 19.4% | 54.1% | 29.4% | 1.5 / 5 | 575 ms | **$1.11** $0.064 / credit | [Ocean.io official docs ↗ ](https://docs.ocean.io) | 96.7% 175/181 domains |
| [ People Data Labs ](https://www.peopledatalabs.com) | GET /v5/company/enrich | **181** company measurements · 3 snapshots | 13.3% | 19.5% | 65.2% | 51.4% | 2.6 / 5 | 325 ms | **$17.38** $0.10 / successful match | [People Data Labs official docs ↗ ](https://docs.peopledatalabs.com/docs/reference-company-enrichment-api) | 92.3% 167/181 domains |
| [ PredictLeads ](https://predictleads.com) | GET /api/v3/companies/{domain}/financing\_events | **181** company measurements · 3 snapshots | 68.0% | 82.4% | 81.8% | 64.3% | 3.2 / 5 | 561 ms | **$4.83** $0.04 / request · 100 free | [PredictLeads official docs ↗ ](https://docs.predictleads.com/guide/extended%5Fcompanies%5Fdataset) | 84.0% 152/181 domains |
| [ ZoomInfo ](https://gtm.ai) | gtm companies enrich --file 10 domains/batch · 4 funding fields | **181** company measurements · 3 snapshots | 72.4% | 85.0% | 84.5% | 85.8% | 4.3 / 5 | 958 ms | **$18.10** $0.10 / credit launch promo · $0.35 standard | [ZoomInfo official docs ↗ ](https://gtm.ai/docs/mcp/tools/enrich-companies) | 90.6% 164/181 domains |

\[02\] measured results

## How the alternatives actually scored.

Rounds already settled when each provider ran, which is the part of Crunchbase most teams are actually replacing. Crunchbase itself is left out of both boards here; its own result is on the benchmark, scored from a reviewed export because its funding API is sales-licensed. This is the funding enrichment board, scored on rounds that were already more than 30 days old when each provider ran. The [company funding benchmark](https://openbenchmarks.com/company-funding) also carries the rolling freshness board. The [methodology](https://openbenchmarks.com/company-funding#methodology) covers cohort design, Ground Truth and the judging rules.

benchmarks/funding/company-funding-enrichment-v3 live 

__Funding information providers compared on latest funding-stage data__
| Provider | Endpoint & configuration | Latest stage correct | Correct when returned | Latest stage returned | Funding fields returned | Fields returned | Median latency | Est. cost | Official docs | Company identified |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Long Running Agent APIs | | | | | | | | | | |
| [ Exa ](https://exa.ai) | POST /agent/runs effort=medium · JSON schema | 88.7% | 93.0% | 90.7% | 67.3% | 3.4 / 5 | 26,549 ms | **$30.00** $0.10 / request (medium effort) | [Exa official docs ↗ ](https://exa.ai/docs/reference/agent-api-guide) | 100.0% 300/300 domains |
| [ Firecrawl ](https://firecrawl.dev) | POST /v2/agent model=spark-1-mini · JSON schema · maxCredits capped per run | 92.3% | 92.3% | 100.0% | 93.3% | 4.7 / 5 | 109,835 ms | **$29.86** $0.59 / 1,000 credits | [Firecrawl official docs ↗ ](https://docs.firecrawl.dev/features/agent) | 100.0% 300/300 domains |
| [ Firecrawl ](https://firecrawl.dev) | POST /v2/agent model=spark-2 · JSON schema · maxCredits capped per run | 87.3% | 89.9% | 95.3% | 84.2% | 4.2 / 5 | 104,406 ms | **$11.87** $0.59 / 1,000 credits | [Firecrawl official docs ↗ ](https://docs.firecrawl.dev/features/agent) | 99.7% 299/300 domains |
| [ Parallel ](https://parallel.ai) | POST /v1/tasks/runs processor=core · structured JSON output | 90.0% | 92.3% | 95.4% | 84.9% | 4.3 / 5 | 53,684 ms | **$5.47** $25 / 1,000 Task runs | [Parallel official docs ↗ ](https://docs.parallel.ai/api-reference/tasks/create-task-run) | 100.0% 219/219 domains |
| Web search APIs | | | | | | | | | | |
| [ Exa ](https://exa.ai) | POST /search type=deep-reasoning · JSON schema | 88.6% | 88.6% | 100.0% | 93.6% | 4.7 / 5 | 12,848 ms | **$3.29** $0.015 / request | [Exa official docs ↗ ](https://exa.ai/docs/reference/search) | 100.0% 219/219 domains |
| [ Exa ](https://exa.ai) | POST /search type=instant · JSON schema | 87.0% | 89.0% | 97.0% | 89.0% | 4.5 / 5 | 1,507 ms | **$2.10** $0.007 / request | [Exa official docs ↗ ](https://exa.ai/docs/reference/search) | 100.0% 300/300 domains |
| [ Nimble ](https://www.nimbleway.com) | POST /v2/search search\_depth=standard · focus=general · full\_content=false · 10 results · source-only funding extraction | 81.3% | 86.3% | 90.0% | 66.0% | 3.3 / 5 | 3,973 ms | **$7.82** $5 / 1,000 searches + extraction tokens | [Nimble official docs ↗ ](https://docs.nimbleway.com/api-reference/search/search) | 95.0% 285/300 domains |
| [ Nimble ](https://www.nimbleway.com) | POST /v2/search search\_depth=lite · focus=general · full\_content=false · 10 results · source-only funding extraction | 59.0% | 91.1% | 60.0% | 40.0% | 2.0 / 5 | 3,807 ms | **$1.51** $1.10 / 1,000 searches + extraction tokens | [Nimble official docs ↗ ](https://docs.nimbleway.com/api-reference/search/search) | 70.7% 212/300 domains |
| [ Parallel ](https://parallel.ai) | POST /v1/responses model=parallel · reasoning.effort=medium · text.format JSON schema | 89.0% | 90.1% | 94.3% | 81.6% | 4.1 / 5 | 15,930 ms | **$15.00** $50 / 1,000 Responses requests (medium reasoning) | [Parallel official docs ↗ ](https://docs.parallel.ai/api-reference/responses-api/create-response) | 100.0% 300/300 domains |
| [ Seltz ](https://seltz.ai) | POST /v1/answer scope=companies · response\_format JSON | 54.7% | 59.9% | 91.3% | 80.7% | 4.0 / 5 | 1,969 ms | **\--** Pricing not disclosed | [Seltz official docs ↗ ](https://docs.seltz.ai/api-reference/answer) | 100.0% 300/300 domains |
| [ Seltz ](https://seltz.ai) | POST /v1/answer scope=news · response\_format JSON | 40.0% | 59.3% | 66.3% | 46.3% | 2.3 / 5 | 1,926 ms | **\--** Pricing not disclosed | [Seltz official docs ↗ ](https://docs.seltz.ai/api-reference/answer) | 100.0% 300/300 domains |
| GTM data providers | | | | | | | | | | |
| [ Apollo ](https://www.apollo.io) | GET /api/v1/organizations/enrich | 49.8% | 63.7% | 78.1% | 64.3% | 3.2 / 5 | 284 ms | **$4.16** $0.0196 / modeled credit | [Apollo official docs ↗ ](https://docs.apollo.io/reference/organization-enrichment) | 96.8% 212/219 domains |
| [ CompanyEnrich ](https://companyenrich.com) | GET /companies/enrich | 46.1% | 55.2% | 83.6% | 69.3% | 3.5 / 5 | 342 ms | **$2.15** $0.0098 / credit | [CompanyEnrich official docs ↗ ](https://docs.companyenrich.com/reference/get%5Fcompanies-enrich) | 97.7% 214/219 domains |
| [ Crustdata ](https://crustdata.com) | POST /company/enrich exact\_match=true · fields=\[funding\] · 25 domains/batch | 79.0% | 89.2% | 88.6% | 68.4% | 3.4 / 5 | 1,469 ms | **$65.70** $0.30 / response credit | [Crustdata official docs ↗ ](https://docs.crustdata.com/company-docs/enrichment/introduction) | 94.1% 206/219 domains |
| [ Explorium ](https://www.explorium.ai) | POST /v1/businesses/match + bulk\_enrich funding\_and\_acquisition enrichment | 21.9% | 43.8% | 40.6% | 46.4% | 2.3 / 5 | 697 ms | **$13.32** $0.04 / request proxy | [Explorium official docs ↗ ](https://explorium-api.readme.io/reference/match%5Fbusinesses) | 53.4% 117/219 domains |
| [ Fiber ](https://www.fiber.ai) | POST /v1/company-search | 84.9% | 88.2% | 96.3% | 90.0% | 4.5 / 5 | 632 ms | **$4.98** $0.020 / credit | [Fiber official docs ↗ ](https://api.fiber.ai/docs/) | 97.3% 213/219 domains |
| [ Fundable ](https://www.tryfundable.ai) | GET /api/v1/company domain query parameter | 60.3% | 86.1% | 69.7% | 68.7% | 3.4 / 5 | 1,370 ms | **$10.60** $0.05 / credit | [Fundable official docs ↗ ](https://docs.tryfundable.ai/) | 70.7% 212/300 domains |
| [ Harmonic (exported dataset) ](https://www.harmonic.ai) | Supplied Harmonic company export identity-audited mapping · not an API run | 71.2% | 72.9% | 97.7% | 90.0% | 4.5 / 5 | \-- | **\--** Pricing not disclosed | [Harmonic (exported dataset) official docs ↗ ](https://console.harmonic.ai/docs/api-reference/introduction) | 98.6% 216/219 domains |
| [ Ocean.io ](https://www.ocean.io) | POST /v2/enrich/company | 5.5% | 14.3% | 35.2% | 21.1% | 1.1 / 5 | 551 ms | **$1.35** $0.064 / credit | [Ocean.io official docs ↗ ](https://docs.ocean.io) | 96.3% 211/219 domains |
| [ People Data Labs ](https://www.peopledatalabs.com) | GET /v5/company/enrich | 67.6% | 80.9% | 83.6% | 64.7% | 3.2 / 5 | 276 ms | **$21.02** $0.10 / successful match | [People Data Labs official docs ↗ ](https://docs.peopledatalabs.com/docs/reference-company-enrichment-api) | 95.9% 210/219 domains |
| [ PredictLeads ](https://predictleads.com) | GET /api/v3/companies/{domain}/financing\_events | 37.9% | 70.1% | 53.4% | 39.0% | 1.9 / 5 | 562 ms | **$5.84** $0.04 / request · 100 free | [PredictLeads official docs ↗ ](https://docs.predictleads.com/guide/extended%5Fcompanies%5Fdataset) | 57.5% 126/219 domains |
| [ ZoomInfo ](https://gtm.ai) | gtm companies enrich --file 10 domains/batch · 4 funding fields | 46.1% | 78.9% | 58.5% | 62.1% | 3.1 / 5 | 972 ms | **$21.90** $0.10 / credit launch promo · $0.35 standard | [ZoomInfo official docs ↗ ](https://gtm.ai/docs/mcp/tools/enrich-companies) | 76.7% 168/219 domains |

\[03\] where each one fits

## Replacing a licensed dataset with something callable

* **Swap the lookup.** The direct replacement is an endpoint that takes a domain and returns a stage. Start from the access terms above, because most of the work is procurement rather than code.
* **Keep the fields you relied on.** Crunchbase returns a full funding record. If you used the date and amount as well as the stage, check the returned-fields measure before assuming a swap is like for like.
* **Cover recent rounds.** If part of why you kept Crunchbase was catching new raises, that is measured separately on the freshness board and the ranking there is different.

\[04\] incumbent access context

## Harmonic, PitchBook and Tracxn: the verifiable access facts

Crunchbase's and Harmonic's export results are scored above. Their access terms remain useful context. PitchBook and Tracxn are geared to private-market investor research, including PE workflows, so they sit outside the self-serve GTM enrichment shape this benchmark tests. Their access model is stated here. No score is.

| Name | The verifiable fact | Source |
| --- | --- | --- |
| **PitchBook** | Private-market intelligence for investor workflows, including PE research, funds, LPs, and deal analysis. Its API is a separate contracted Direct Data offering sold under an enterprise agreement, so it falls outside the self-serve GTM enrichment shape tested here. | [their own page](https://pitchbook.com/products/direct-access-data/api) (2026-07-17) |
| **Harmonic** | Offers 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](https://harmonic.ai/pricing) (2026-07-17) |
| **Tracxn / Dealroom / CB Insights** | Private-market research and investor workflows, including PE diligence, rather than self-serve GTM sales enrichment; funding data arrives under contract rather than through a single API that can be scored per domain. | — |

Incumbent-specific breakdowns: [Harmonic alternatives](https://openbenchmarks.com/company-funding/harmonic-alternatives) 

\[05\] faq

## Common questions about moving off Crunchbase

### What makes an alternative a genuine replacement for Crunchbase funding data?

It has to answer the same question about the same company and be reachable the way your system works. That means a documented endpoint, a structured latest-stage answer, and access you can arrange yourself. The table above lists the endpoint and access terms for each option so you can rule out the ones that do not fit before testing.

### Why is Crunchbase measured from an export rather than its API?

Its funding API sits behind a sales-licensed plan, so it was scored from a self-serve plan export matched to the same company identities. That keeps the correctness comparison fair. It also means Crunchbase carries no latency or cost figure, because nothing was timed or billed.

### Does replacing Crunchbase mean losing coverage?

It depends which field you rely on. The benchmark judges the latest funding stage and separately records whether the date, amount, total raised and round count came back. A provider can name the right stage and return nothing else, which is fine for routing and not enough for writing a CRM record.

### How does PitchBook compare for this job?

It is built for private-market research rather than per-domain enrichment, so it is out of scope here for the same reason Tracxn is. That is a statement about shape, and about whether a GTM system can call it per company, rather than about the quality of its data.

Openbenchmarks [company funding benchmark](https://openbenchmarks.com/company-funding) [company enrichment](https://openbenchmarks.com/company-enrichment) © 2026 Openbenchmarks