---
title: "Search API to Find Companies by Investor & Location, Independently Benchmarked | Openbenchmarks"
description: "Which API finds companies matching several criteria at once, such as investor, location and funding stage? Web search APIs ranked on F1 for that job."
url: https://openbenchmarks.com/multi-turn-company-search/find-companies-by-investor-location-funding
---

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

[← multi-turn company search](https://openbenchmarks.com/multi-turn-company-search) 

[benchmarks](https://openbenchmarks.com/) / [web-search](https://openbenchmarks.com/web-search) / [multi-turn company search](https://openbenchmarks.com/multi-turn-company-search) / find companies by criteria 

45 questions · multi-hop · 20 configurations

# Best search API to find companies by investor, location and funding stage

Ranked on the multi-hop search task of the [web search benchmark](https://openbenchmarks.com/web-search). Each question combines three or four constraints.

Parallel basic (parallel-basic) leads F1 at 46.5% on this run.

Every question here is a company set defined by three or four constraints (investor backing, headquarters geography, accelerator, funding stage, sector). F1 rewards the API that lets the agent recover the complete set without padding. This is search-driven discovery, not a company database lookup.

[Most accurate](https://openbenchmarks.com/multi-turn-company-search/most-accurate-search-api) · [Fastest](https://openbenchmarks.com/multi-turn-company-search/fastest-search-api) · [Cheapest](https://openbenchmarks.com/multi-turn-company-search/cheapest-search-api) · [Find companies by criteria](https://openbenchmarks.com/multi-turn-company-search/find-companies-by-investor-location-funding) · [Search + fetch](https://openbenchmarks.com/multi-turn-company-search/search-and-fetch-api-for-ai-agents) · [Full benchmark](https://openbenchmarks.com/multi-turn-company-search) 

[open runner + judge Public in openbenchmarks-labs/multi-turn-company-search. github → ](https://github.com/openbenchmarks-labs/multi-turn-company-search) 

\[01\] search only

## Ranking, sorted by f1

__Search-only, ranked by f1__
| Provider | Endpoint & configuration | F1 | Precision | Recall | Exact set | Median time | Mean turns | Median task cost | API list price |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| [Parallel basic](https://parallel.ai "Open Parallel basic in a new tab") | POST /v1/search mode=basic parallel-basic | **46.5 ± 1.9** | 88.7 ± 0.9 | 34.4 ± 2.0 | 3.7 ± 2.6 | 67.6 s | 7.4 | $1.120 $0.070 search $1.050 token cost | $0.005 / search |
| [Exa deep](https://exa.ai "Open Exa deep in a new tab") | POST /search type=deep exa-deep | **45.4 ± 2.0** | 83.2 ± 3.0 | 33.7 ± 1.4 | 1.5 ± 1.3 | 89.5 s | 7.4 | $0.717 $0.156 search $0.556 token cost | $0.012 / search |
| [Parallel advanced](https://parallel.ai "Open Parallel advanced in a new tab") | POST /v1/search mode=advanced parallel-advanced | **44.2 ± 1.4** | 87.6 ± 3.4 | 32.0 ± 1.6 | 2.2 ± 0.0 | 83.4 s | 7.3 | $0.625 $0.070 search $0.565 token cost | $0.005 / search |
| [Exa instant](https://exa.ai "Open Exa instant in a new tab") | POST /search type=instant exa-instant | **43.3 ± 1.0** | 82.6 ± 3.8 | 32.2 ± 0.5 | 3.0 ± 1.3 | 49.8 s | 7.3 | $0.652 $0.091 search $0.559 token cost | $0.007 / search |
| [Linkup fast](https://www.linkup.so "Open Linkup fast in a new tab") | POST /v1/search depth=fast linkup-fast | **41.1 ± 1.7** | 82.8 ± 1.0 | 30.3 ± 1.5 | 0.7 ± 1.3 | 64.2 s | 7.4 | $0.923 $0.070 search $0.853 token cost | $0.005 / search |
| [Tavily advanced](https://tavily.com "Open Tavily advanced in a new tab") | POST /search search\_depth=advanced tavily-advanced | **41.1 ± 2.3** | 83.7 ± 4.2 | 29.8 ± 1.7 | 2.2 ± 0.0 | 92.2 s | 7.4 | $1.029 $0.224 search $0.808 token cost | $0.016 / search |
| [Linkup standard](https://www.linkup.so "Open Linkup standard in a new tab") | POST /v1/search depth=standard linkup-standard | **40.6 ± 0.9** | 84.0 ± 7.9 | 29.7 ± 1.4 | 1.5 ± 2.6 | 72.3 s | 7.3 | $0.937 $0.070 search $0.867 token cost | $0.005 / search |
| [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights | **38.6 ± 0.8** | 79.3 ± 4.9 | 28.3 ± 0.9 | 4.4 ± 0.0 | 48.2 s | 7.5 | $0.971 $0.070 search $0.901 token cost | $0.005 / search |
| [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights · knowledge=core | **38.1 ± 0.6** | 80.9 ± 1.6 | 27.4 ± 0.9 | 3.0 ± 1.3 | 47.6 s | 7.5 | $0.895 $0.070 search $0.827 token cost | $0.005 / search |
| [Parallel fast](https://parallel.ai "Open Parallel fast in a new tab") | POST /v1/search mode=fast parallel-fast | **38.0 ± 2.0** | 79.9 ± 4.6 | 27.5 ± 1.4 | 1.5 ± 1.3 | 53.9 s | 7.6 | $0.460 $0.014 search $0.447 token cost | $0.001 / search |
| [Perplexity](https://www.perplexity.ai "Open Perplexity in a new tab") | POST /search search\_context\_size=low | **37.8 ± 2.1** | 79.3 ± 5.7 | 26.8 ± 1.4 | 2.2 ± 2.2 | 48.9 s | 7.7 | $0.334 $0.070 search $0.264 token cost | $0.005 / search |
| [Tavily basic](https://tavily.com "Open Tavily basic in a new tab") | POST /search search\_depth=basic tavily-basic | **36.5 ± 3.2** | 82.5 ± 1.9 | 25.7 ± 2.7 | 1.5 ± 1.3 | 63.0 s | 7.7 | $0.615 $0.112 search $0.504 token cost | $0.008 / search |
| [Parallel turbo](https://parallel.ai "Open Parallel turbo in a new tab") | POST /v1/search mode=turbo parallel-turbo | **34.7 ± 2.4** | 80.0 ± 5.2 | 24.8 ± 2.4 | 1.5 ± 1.3 | 46.4 s | 7.6 | $0.419 $0.014 search $0.405 token cost | $0.001 / search |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=standard · full\_content=false · focus=general | **30.7 ± 1.4** | 70.3 ± 3.3 | 21.3 ± 1.1 | 0.7 ± 1.3 | 53.0 s | 7.7 | $0.467 $0.070 search $0.398 token cost | $0.005 / search |
| [Firecrawl](https://firecrawl.dev "Open Firecrawl in a new tab") | POST /v2/search firecrawl | **30.4 ± 1.1** | 77.3 ± 4.4 | 20.7 ± 0.7 | 2.2 ± 0.0 | 75.0 s | 7.9 | $0.282 $0.070 search $0.212 token cost | $0.005 / search |
| [Brave Search](https://brave.com/search/api/ "Open Brave Search in a new tab") | GET /res/v1/web/search brave | **28.0 ± 1.7** | 66.9 ± 8.5 | 19.3 ± 0.5 | 0.7 ± 1.3 | 43.5 s | 8.0 | $0.268 $0.070 search $0.200 token cost | $0.005 / search |
| [TinyFish](https://www.tinyfish.ai "Open TinyFish in a new tab") | GET api.search.tinyfish.ai tinyfish | **26.6 ± 1.3** | 64.7 ± 1.5 | 17.9 ± 0.8 | 1.5 ± 1.3 | 64.2 s | 7.9 | $0.212 $0.000 search $0.212 token cost | $0 / search |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=lite · full\_content=false · focus=general | **25.3 ± 1.1** | 62.8 ± 1.9 | 17.6 ± 1.2 | 1.5 ± 1.3 | 67.9 s | 7.9 | $0.234 $0.015 search $0.220 token cost | $0.0011 / search |
| [Seltz](https://seltz.ai "Open Seltz in a new tab") | POST /v1/search scope=companies seltz-companies | **14.5 ± 0.9** | 40.0 ± 3.1 | 9.4 ± 0.7 | 0.0 ± 0.0 | 55.2 s | 7.3 | $1.751 $0.070 search $1.681 token cost | $0.005 / search |
| [SERP](https://rapidapi.com/herosAPI/api/google-search74 "Open SERP in a new tab") | GET google-search74.p.rapidapi.com serp | **0.4 ± 0.6** | 0.7 ± 1.3 | 0.3 ± 0.4 | 0.0 ± 0.0 | 31.4 s | 7.8 | $0.103 $0.036 search $0.065 token cost | $0.003 / search |

F1, precision, recall, and exact-set accuracy are percentages reported as mean ± sample SD across three independent runs; each run aggregates all 45 questions. SD is measured in percentage points. Median time is the median end-to-end time across all runs for each vendor. Median task cost is the median of LLM $ plus search API $ per agent run. API list price is the PAYG unit rate of the search endpoint the harness calls.

\[02\] search + fetch

## Search plus fetch, same sort

__Search plus fetch, ranked by f1__
| Provider | Endpoint & configuration | F1 | Precision | Recall | Exact set | Median time | Mean turns | Median task cost | API list price |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| [Exa deep](https://exa.ai "Open Exa deep in a new tab") | POST /search type=deep exa-deep | **48.2 ± 2.1** | 89.4 ± 1.2 | 36.0 ± 2.2 | 2.2 ± 2.2 | 95.8 s | 7.5 | $0.683 $0.156 search+fetch $0.526 token cost | $0.012 / search $0.001 / fetch |
| [Perplexity](https://www.perplexity.ai "Open Perplexity in a new tab") | POST /search search\_context\_size=high | **46.6 ± 2.0** | 87.7 ± 5.9 | 34.7 ± 1.1 | 2.2 ± 2.2 | 53.9 s | 7.5 | $0.504 $0.070 search+fetch $0.441 token cost | $0.005 / search |
| [Exa instant](https://exa.ai "Open Exa instant in a new tab") | POST /search type=instant exa-instant | **44.9 ± 0.9** | 85.9 ± 2.5 | 33.5 ± 0.9 | 5.2 ± 1.3 | 52.5 s | 7.5 | $0.653 $0.091 search+fetch $0.557 token cost | $0.007 / search $0.001 / fetch |
| [Parallel basic](https://parallel.ai "Open Parallel basic in a new tab") | POST /v1/search mode=basic parallel-basic | **42.3 ± 1.1** | 81.3 ± 2.8 | 31.3 ± 1.1 | 3.0 ± 1.3 | 68.6 s | 7.5 | $1.089 $0.061 search+fetch $1.033 token cost | $0.005 / search $0.001 / fetch |
| [Parallel advanced](https://parallel.ai "Open Parallel advanced in a new tab") | POST /v1/search mode=advanced parallel-advanced | **42.2 ± 1.1** | 87.6 ± 0.3 | 30.1 ± 1.1 | 2.2 ± 0.0 | 80.9 s | 7.4 | $0.599 $0.061 search+fetch $0.538 token cost | $0.005 / search $0.001 / fetch |
| [Linkup standard](https://www.linkup.so "Open Linkup standard in a new tab") | POST /v1/search depth=standard linkup-standard | **42.0 ± 1.8** | 90.7 ± 2.0 | 30.5 ± 2.0 | 3.0 ± 3.4 | 81.0 s | 7.5 | $0.911 $0.070 search+fetch $0.848 token cost | $0.005 / search $0.001 / fetch |
| [Tavily advanced](https://tavily.com "Open Tavily advanced in a new tab") | POST /search search\_depth=advanced tavily-advanced | **41.0 ± 1.3** | 89.4 ± 6.0 | 29.1 ± 0.7 | 2.2 ± 0.0 | 92.6 s | 7.3 | $0.898 $0.195 search+fetch $0.685 token cost | $0.016 / search $0.0032 / fetch |
| [Linkup fast](https://www.linkup.so "Open Linkup fast in a new tab") | POST /v1/search depth=fast linkup-fast | **39.9 ± 1.3** | 85.3 ± 3.6 | 28.6 ± 1.3 | 0.7 ± 1.3 | 68.0 s | 7.3 | $0.903 $0.061 search+fetch $0.837 token cost | $0.005 / search $0.001 / fetch |
| [Parallel fast](https://parallel.ai "Open Parallel fast in a new tab") | POST /v1/search mode=fast parallel-fast | **39.3 ± 3.3** | 82.3 ± 6.6 | 28.2 ± 2.0 | 2.2 ± 0.0 | 55.1 s | 7.6 | $0.441 $0.014 search+fetch $0.427 token cost | $0.001 / search $0.001 / fetch |
| [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights | **38.5 ± 1.6** | 85.2 ± 2.7 | 26.9 ± 1.7 | 0.7 ± 1.3 | 45.6 s | 7.4 | $0.864 $0.065 search+fetch $0.795 token cost | $0.005 / search $0.001 / fetch |
| [You](https://you.com "Open You in a new tab") | POST /v1/search extraction\_mode=highlights · knowledge=core | **38.5 ± 2.4** | 78.2 ± 2.5 | 28.3 ± 3.0 | 3.7 ± 1.3 | 48.5 s | 7.4 | $0.894 $0.065 search+fetch $0.830 token cost | $0.005 / search $0.001 / fetch |
| [Tavily basic](https://tavily.com "Open Tavily basic in a new tab") | POST /search search\_depth=basic tavily-basic | **38.1 ± 1.4** | 81.2 ± 5.9 | 27.8 ± 0.7 | 2.2 ± 0.0 | 62.0 s | 7.8 | $0.610 $0.112 search+fetch $0.507 token cost | $0.008 / search $0.0032 / fetch |
| [Parallel turbo](https://parallel.ai "Open Parallel turbo in a new tab") | POST /v1/search mode=turbo parallel-turbo | **36.0 ± 3.5** | 83.6 ± 4.0 | 25.0 ± 2.6 | 0.0 ± 0.0 | 48.1 s | 7.7 | $0.414 $0.013 search+fetch $0.400 token cost | $0.001 / search $0.001 / fetch |
| [Firecrawl](https://firecrawl.dev "Open Firecrawl in a new tab") | POST /v2/search firecrawl | **33.2 ± 2.1** | 83.3 ± 0.8 | 22.7 ± 1.8 | 1.5 ± 1.3 | 82.1 s | 7.9 | $0.295 $0.063 search+fetch $0.230 token cost | $0.005 / search $0.0025 / fetch |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=standard · full\_content=false · focus=general · extract formats=\[markdown\] | **31.3 ± 1.8** | 73.2 ± 1.9 | 21.7 ± 1.6 | 1.5 ± 1.3 | 59.2 s | 7.9 | $0.424 $0.424 token cost | $0.005 / search |
| [TinyFish](https://www.tinyfish.ai "Open TinyFish in a new tab") | GET api.search.tinyfish.ai tinyfish | **30.2 ± 3.5** | 70.9 ± 11.3 | 20.9 ± 2.5 | 0.0 ± 0.0 | 63.4 s | 7.9 | $0.219 $0.000 search+fetch $0.219 token cost | $0 / search $0 / fetch |
| [Brave Search](https://brave.com/search/api/ "Open Brave Search in a new tab") | GET /res/v1/web/search brave | **29.4 ± 1.6** | 73.5 ± 5.8 | 20.4 ± 0.9 | 1.5 ± 1.3 | 45.1 s | 8.0 | $0.285 $0.060 search+fetch $0.222 token cost | $0.005 / search |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | POST /v2/search search\_depth=lite · full\_content=false · focus=general · extract formats=\[markdown\] | **27.1 ± 1.5** | 68.5 ± 4.4 | 18.7 ± 0.9 | 2.2 ± 0.0 | 72.0 s | 8.0 | $0.237 $0.237 token cost | $0.0011 / search |
| [Seltz](https://seltz.ai "Open Seltz in a new tab") | POST /v1/search scope=companies seltz-companies | **16.3 ± 1.5** | 49.5 ± 2.4 | 10.2 ± 1.2 | 0.0 ± 0.0 | 60.1 s | 7.5 | $1.741 $0.070 search+fetch $1.671 token cost | $0.005 / search |
| [SERP](https://rapidapi.com/herosAPI/api/google-search74 "Open SERP in a new tab") | GET google-search74.p.rapidapi.com serp | **0.0 ± 0.0** | 0.0 ± 0.0 | 0.0 ± 0.0 | 0.0 ± 0.0 | 33.4 s | 7.8 | $0.102 $0.039 search+fetch $0.066 token cost | $0.003 / search |

F1, precision, recall, and exact-set accuracy are percentages reported as mean ± sample SD across three independent runs; each run aggregates all 45 questions. SD is measured in percentage points. Median time is the median end-to-end time across all runs for each vendor. Median task cost is the median of LLM $ plus search/fetch API $ per agent run. API list price is the PAYG unit rate of the search (and fetch) endpoint the harness calls.

\[03\] faq

## Common questions

### Which API can find a list of companies that match several criteria?

Parallel basic (parallel-basic) leads F1 at 46.5% on 45 questions that each define a company set by three or four constraints, such as investor, headquarters location, accelerator and funding stage. The agent is held constant; only the web search API changes.

### Is this a company database API or a web search API?

Web search. A company database (enrichment or lookup API) answers from a stored record and cannot assemble a set defined by criteria it does not index. This benchmark measures whether a research agent can build that set from live search results. The model-only baseline is 0: none of these sets is recoverable from training data.

### Can I use this to build account lists for GTM?

That is the workflow it approximates: automated account-list building, investor or accelerator portfolio discovery, and geography-scoped market maps. For similar-companies (lookalike) list building, which is a different job, see the lookalikes benchmark.

Openbenchmarks [← multi-turn company search](https://openbenchmarks.com/multi-turn-company-search) © 2026 Openbenchmarks