Harmonic.ai alternatives for startup funding data
This page is the independent comparison of Harmonic against other funding data providers: 21 measured endpoints, the same company cohort, every stage judged against source-verified funding events. No vendor pays for inclusion or rank.
Harmonic is measured from a supplied export, identity-audited against the frozen cohort and judged under the same policy as every provider. Its stage score is comparable; export pricing and API latency are not inferred.
Harmonic appears on both boards. Its export was mapped into the earlier freshness snapshot as well as the historical cohort, so its stage accuracy can be read on recent rounds and on older ones. What it never carries is a latency or cost figure, because a supplied file has no request time and no billed unit.
The 16 measured providers are Apollo, CompanyEnrich, Crunchbase, Crustdata, Exa, Explorium, Fiber, Firecrawl, Fundable, Harmonic, Ocean.io, Parallel, People Data Labs, PredictLeads, Seltz, and ZoomInfo. Several are measured on more than one endpoint, for 21 arms in total.
How the alternatives handle new rounds.
The rolling board, rebuilt each month from rounds announced inside the window. Harmonic is scored here from the snapshot its export covered. 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 has other vendors that were benchmarked on the same input data. The methodology covers cohort design, Ground Truth and the judging rules.
| 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 | POST /agent/runseffort=medium · JSON schema | 100company 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 | 100.0%100/100 domains |
| Firecrawl | POST /v2/agentmodel=spark-2 · JSON schema · maxCredits capped per run | 50company 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 | 100.0%50/50 domains |
| Firecrawl | POST /v2/agentmodel=spark-1-mini · JSON schema · maxCredits capped per run | 100company 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 | 100.0%100/100 domains |
| Parallel | POST /v1/tasks/runsprocessor=core · structured JSON output | 181company 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 | 100.0%181/181 domains |
| Web search APIs | |||||||||||
| Exa | POST /searchtype=instant · JSON schema | 100company 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 | 100.0%100/100 domains |
| Exa | POST /searchtype=deep-reasoning · JSON schema | 181company 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 | 100.0%181/181 domains |
| Parallel | POST /v1/responsesmodel=parallel · reasoning.effort=medium · text.format JSON schema | 100company 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 | 100.0%100/100 domains |
| Seltz | POST /v1/answerscope=news · response_format JSON | 100company measurements · 2 snapshots | 71.0% | 85.9% | 78.0% | 57.8% | 2.9 / 5 | 2,109 ms | --Pricing not disclosed | Seltz official docs | 100.0%100/100 domains |
| Seltz | POST /v1/answerscope=companies · response_format JSON | 100company measurements · 2 snapshots | 22.0% | 32.8% | 67.0% | 62.6% | 3.1 / 5 | 2,118 ms | --Pricing not disclosed | Seltz official docs | 100.0%100/100 domains |
| GTM data providers | |||||||||||
| Apollo | GET /api/v1/organizations/enrich | 181company 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 | 97.2%176/181 domains |
| CompanyEnrich | GET /companies/enrich | 181company measurements · 3 snapshots | 12.7% | 19.1% | 63.5% | 56.8% | 2.8 / 5 | 334 ms | $1.77$0.0098 / credit | CompanyEnrich official docs | 96.7%175/181 domains |
| Crunchbase (exported dataset) | Crunchbase self-serve plan exportidentity-mapped export · not an API run | 81company measurements · 1 snapshot | 95.1% | 98.7% | 96.3% | 92.6% | 4.6 / 5 | -- | --Not comparable | Crunchbase (exported dataset) official docs | 100.0%81/81 domains |
| Crustdata | POST /company/enrichexact_match=true · fields=[funding] · 25 domains/batch | 181company 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 | 96.1%174/181 domains |
| Explorium | POST /v1/businesses/match + bulk_enrichfunding_and_acquisition enrichment | 181company 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 | 44.8%81/181 domains |
| Fiber | POST /v1/company-search | 181company measurements · 3 snapshots | 74.6% | 80.2% | 92.3% | 88.3% | 4.4 / 5 | 615 ms | $4.11$0.020 / credit | Fiber official docs | 97.8%177/181 domains |
| Fundable | GET /api/v1/companydomain query parameter | 100company 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 | 91.0%91/100 domains |
| Harmonic (exported dataset) | Supplied Harmonic company exportidentity-audited mapping · not an API run | 81company measurements · 1 snapshot | 81.5% | 81.5% | 100.0% | 91.8% | 4.6 / 5 | -- | --Pricing not disclosed | Harmonic (exported dataset) official docs | 100.0%81/81 domains |
| Ocean.io | POST /v2/enrich/company | 181company 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 | 96.7%175/181 domains |
| People Data Labs | GET /v5/company/enrich | 181company 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 | 92.3%167/181 domains |
| PredictLeads | GET /api/v3/companies/{domain}/financing_events | 181company 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 | 84.0%152/181 domains |
| ZoomInfo | gtm companies enrich --file10 domains/batch · 4 funding fields | 181company 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 | 90.6%164/181 domains |
How the alternatives actually scored.
Rounds already settled when each provider ran, which is where a curated database is strongest. Harmonic has no self-serve endpoint, so its row carries no latency or cost. The rest of the roster publishes both an endpoint and a rate. 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 also carries the rolling freshness board. The methodology covers cohort design, Ground Truth and the judging rules.
| 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 | POST /agent/runseffort=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 | 100.0%300/300 domains |
| Firecrawl | POST /v2/agentmodel=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 | 100.0%300/300 domains |
| Firecrawl | POST /v2/agentmodel=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 | 99.7%299/300 domains |
| Parallel | POST /v1/tasks/runsprocessor=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 | 100.0%219/219 domains |
| Web search APIs | ||||||||||
| Exa | POST /searchtype=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 | 100.0%219/219 domains |
| Exa | POST /searchtype=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 | 100.0%300/300 domains |
| Parallel | POST /v1/responsesmodel=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 | 100.0%300/300 domains |
| Seltz | POST /v1/answerscope=companies · response_format JSON | 54.7% | 59.9% | 91.3% | 80.7% | 4.0 / 5 | 1,969 ms | --Pricing not disclosed | Seltz official docs | 100.0%300/300 domains |
| Seltz | POST /v1/answerscope=news · response_format JSON | 40.0% | 59.3% | 66.3% | 46.3% | 2.3 / 5 | 1,926 ms | --Pricing not disclosed | Seltz official docs | 100.0%300/300 domains |
| GTM data providers | ||||||||||
| Apollo | 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 | 96.8%212/219 domains |
| CompanyEnrich | GET /companies/enrich | 46.1% | 55.2% | 83.6% | 69.3% | 3.5 / 5 | 342 ms | $2.15$0.0098 / credit | CompanyEnrich official docs | 97.7%214/219 domains |
| Crunchbase (exported dataset) | Crunchbase self-serve plan exportidentity-mapped export · not an API run | 85.8% | 90.8% | 94.5% | 87.8% | 4.4 / 5 | -- | --Not comparable | Crunchbase (exported dataset) official docs | 98.6%216/219 domains |
| Crustdata | POST /company/enrichexact_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 | 94.1%206/219 domains |
| Explorium | POST /v1/businesses/match + bulk_enrichfunding_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 | 53.4%117/219 domains |
| Fiber | 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 | 97.3%213/219 domains |
| Fundable | GET /api/v1/companydomain query parameter | 60.3% | 86.1% | 69.7% | 68.7% | 3.4 / 5 | 1,370 ms | $10.60$0.05 / credit | Fundable official docs | 70.7%212/300 domains |
| Harmonic (exported dataset) | Supplied Harmonic company exportidentity-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 | 98.6%216/219 domains |
| 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 | 96.3%211/219 domains |
| People Data Labs | 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 | 95.9%210/219 domains |
| PredictLeads | 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 | 57.5%126/219 domains |
| ZoomInfo | gtm companies enrich --file10 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 | 76.7%168/219 domains |
Harmonic, PitchBook & Tracxn access terms
Crunchbase's and Harmonic's export results are scored above. PitchBook and Tracxn serve private-market investor research, including PE workflows, rather than self-serve GTM sales enrichment. Sourced, dated, and nothing more claimed.
| 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 (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 (2026-07-17) |
Common questions about moving off Harmonic
Why does Harmonic need an alternative for programmatic funding data?
Because it was measured from a supplied export rather than an endpoint. If you want to enrich a company from your own code, you need something you can call, and the table above lists the providers on the same benchmark that offer one.
Is Harmonic's export result comparable to an API result?
On the latest funding stage, yes. The export was identity-audited against the same companies and judged under the same policy. Latency and cost are left blank rather than inferred, because a supplied file has neither a request time nor a billed unit.
Should I trust a published Harmonic competitors list?
Only if it says what was measured and on which companies. Most such lists rank vendors by who wrote the page. Everything here is scored on one fixed cohort of companies whose funding events were verified from company announcements, investor releases and filings before any vendor was called.
What would change if Harmonic exposed a self-serve endpoint?
It would pick up latency and cost figures, which are blank today on both boards. Its stage accuracy is already scored on recent rounds, because the export was mapped onto a freshness snapshot. What an export cannot give is a query moment: how quickly a provider learned about a round can only be measured by calling it at a known time after the announcement.