---
title: "Best Company Enrichment API for US Companies 2026 | Openbenchmarks"
description: "Best company enrichment API for US companies: providers compared on US-headquartered companies for HQ, industry, headcount, founded year and LinkedIn URL."
url: https://openbenchmarks.com/company-enrichment/us-companies
---

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

[Read the methodology →](https://openbenchmarks.com/company-enrichment#methodology) 

[benchmarks](https://openbenchmarks.com/) / [company enrichment](https://openbenchmarks.com/company-enrichment) / US companies 

US company data · measured

# Best company enrichment API for US companies 2026

Nine APIs—People Data Labs, Apollo, Parallel, Predict Leads, Explorium, CompanyEnrich, ZoomInfo, Exa, and Seltz—receive the same company domain and enrich it by API calls from their official docs.

**People Data Labs** leads this reviewed slice on enrichment success at **87.5%**. The result covers 109 companies and 510 eligible field judgments—not vendor-reported geographic coverage.

This slice tests enrichment on US-headquartered companies without mixing the result with international coverage. It is useful for domestic CRM enrichment, territory routing, segmentation, and account research.

companies

109 

providers

11 

scored fields

5 

[People Data Labscompany dataset](https://www.peopledatalabs.com "Open People Data Labs in a new tab") 

[ApolloB2B sales database](https://www.apollo.io "Open Apollo in a new tab") 

[Parallelagentic research](https://parallel.ai "Open Parallel in a new tab") 

[PredictLeadsco-signal graph](https://predictleads.com "Open PredictLeads in a new tab") 

[CompanyEnrichcompany enrichment API](https://companyenrich.com "Open CompanyEnrich in a new tab") 

[NimbleSearch API, standard](https://www.nimbleway.com "Open Nimble in a new tab") 

[Exploriumenrichment platform](https://www.explorium.ai "Open Explorium in a new tab") 

[Exaweb research](https://exa.ai "Open Exa in a new tab") 

[ZoomInfoGTM data platform](https://gtm.ai "Open ZoomInfo in a new tab") 

[NimbleSearch API, lite](https://www.nimbleway.com "Open Nimble in a new tab") 

[Seltzanswer API, companies scope](https://seltz.ai "Open Seltz in a new tab") 

\[01\] geographic results

## Correct company data for US companies, field by field.

Rows are ranked by enrichment success rate: correct values divided by all eligible human-reviewed values. The five field columns reveal where that aggregate comes from. Missing and incorrect values both lower the score; unavailable Ground Truth is excluded.

benchmarks/firmographic/geo/us-companies 109 companies 

__Measured company enrichment results for US companies__
| Provider | Enrichment success | HQ location | Industry | Employee band | Founded year | LinkedIn URL |
| --- | --- | --- | --- | --- | --- | --- |
| [People Data Labs](https://www.peopledatalabs.com "Open People Data Labs in a new tab") highest overall yield | **87.5%** 446/510 | 91.7% 100/109 | 91.7% 100/109 | 84.4% 92/109 | 94.6% 70/74 | 77.1% 84/109 |
| [Apollo](https://www.apollo.io "Open Apollo in a new tab") | **87.5%** 446/510 | 89.9% 98/109 | **95.4%** 104/109 | 77.1% 84/109 | 89.2% 66/74 | 86.2% 94/109 |
| [Parallel](https://parallel.ai "Open Parallel in a new tab") | **85.1%** 434/510 | 87.2% 95/109 | 90.8% 99/109 | 78.9% 86/109 | 79.7% 59/74 | 87.2% 95/109 |
| [PredictLeads](https://predictleads.com "Open PredictLeads in a new tab") | **81.4%** 415/510 | 75.2% 82/109 | 86.2% 94/109 | 78.0% 85/109 | 85.1% 63/74 | 83.5% 91/109 |
| [CompanyEnrich](https://companyenrich.com "Open CompanyEnrich in a new tab") | **76.8%** 393/512 | 66.1% 72/109 | 81.7% 89/109 | 56.9% 62/109 | 90.8% 69/76 | **92.7%** 101/109 |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | **72.7%** 372/512 | 70.6% 77/109 | 84.4% 92/109 | 54.1% 59/109 | 69.7% 53/76 | 83.5% 91/109 |
| [Explorium](https://www.explorium.ai "Open Explorium in a new tab") | **71.2%** 363/510 | 82.6% 90/109 | 79.8% 87/109 | **86.2%** 94/109 | 0.0% 0/74 | 84.4% 92/109 |
| [Exa](https://exa.ai "Open Exa in a new tab") | **65.3%** 333/510 | **95.4%** 104/109 | 95.4% 104/109 | 35.8% 39/109 | **100.0%** 74/74 | 11.0% 12/109 |
| [ZoomInfo](https://gtm.ai "Open ZoomInfo in a new tab") | **63.3%** 324/512 | 76.2% 83/109 | 73.4% 80/109 | 48.6% 53/109 | 57.9% 44/76 | 58.7% 64/109 |
| [Nimble](https://www.nimbleway.com "Open Nimble in a new tab") | **60.2%** 308/512 | 51.4% 56/109 | 76.2% 83/109 | 55.0% 60/109 | 39.5% 30/76 | 72.5% 79/109 |
| [Seltz](https://seltz.ai "Open Seltz in a new tab") | **29.5%** 151/512 | 36.7% 40/109 | 37.6% 41/109 | 5.5% 6/109 | 31.6% 24/76 | 36.7% 40/109 |

\[02\] what the result means

## The overall leader and field leaders answer different questions.

Use overall yield for broad CRM enrichment. For a narrow workflow, route on the field actually written downstream rather than assuming the aggregate winner leads every column.

| Workflow | Measured leader | Evidence |
| --- | --- | --- |
| Broad company enrichment | [People Data Labs](https://www.peopledatalabs.com "Open People Data Labs in a new tab") | 87.5% correct-field yield |
| HQ location | [Exa](https://exa.ai "Open Exa in a new tab") | 95.4% · 104/109 |
| Industry | [Apollo](https://www.apollo.io "Open Apollo in a new tab") | 95.4% · 104/109 |
| Employee band | [Explorium](https://www.explorium.ai "Open Explorium in a new tab") | 86.2% · 94/109 |
| Founded year | [Exa](https://exa.ai "Open Exa in a new tab") | 100.0% · 74/74 |
| LinkedIn URL | [CompanyEnrich](https://companyenrich.com "Open CompanyEnrich in a new tab") | 92.7% · 101/109 |

**Scope guardrail:** US membership is based on reviewed headquarters, not incorporation, customer footprint, provider output, or a vendor coverage claim.

\[03\] complete benchmark

## Compare the geographic result with the full benchmark.

This is the complete provider table across the full 282\-company cohort. It includes resolution, enrichment success, returned-field accuracy, coverage, latency, cost, and the tested endpoint. See the [main benchmark methodology](https://openbenchmarks.com/company-enrichment#methodology) for cohort construction, Ground Truth, judging, pricing assumptions, and public evidence.

benchmarks/firmographic/company-firmographic-enrichment-web-research-v2-293 full cohort 

__Company enrichment provider comparison across measured dimensions__
| Provider | Official docs | Resolution | Enrichment success rate | Field accuracy | Field coverage | Median latency | Est. cost | Endpoint & configuration |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| [ Apollo ](https://www.apollo.io) | [Apollo official docs ↗ ](https://docs.apollo.io/reference/organization-search) | **96.8%** 273/282 domains | 88.6% | 92.6% | 93.0% | 654 ms | **$10.88** $0.0196 / credit | POST /api/v1/mixed\_companies/search → GET /api/v1/organizations/{id} page=1; per\_page=1 |
| [ CompanyEnrich ](https://companyenrich.com) | [CompanyEnrich official docs ↗ ](https://docs.companyenrich.com/reference/get%5Fcompanies-enrich) | **98.9%** 279/282 domains | 73.1% | 74.7% | 95.5% | 250 ms | **$2.76** $0.0098 / credit | GET /companies/enrich domain={company domain} |
| [ Exa ](https://exa.ai) | [Exa official docs ↗ ](https://docs.exa.ai/reference/search) | **100.0%** 282/282 domains | 60.4% | 76.2% | 77.1% | 8,143 ms | **$4.23** $0.015 / deep-reasoning request | POST /search type=deep-reasoning; category=company; numResults=10; highlights + structured output |
| [ Explorium ](https://www.explorium.ai) | [Explorium official docs ↗ ](https://explorium-api.readme.io/reference/match%5Fbusinesses) | **95.0%** 268/282 domains | 70.5% | 87.6% | 76.0% | 616 ms | **$22.00** $0.04 / credit | POST /v1/businesses/match → POST /v1/businesses mode=full; page=1; page\_size=10; size=10 |
| [ Nimble lite ](https://www.nimbleway.com) | [Nimble lite official docs ↗ ](https://docs.nimbleway.com/api-reference/search/search) | **80.1%** 226/282 domains | 54.0% | 88.1% | 59.5% | 4,584 ms | **$0.31** $0.0011 / search request; extraction-model cost excluded | POST /v2/search search\_depth=lite; focus=general; full\_content=false |
| [ Nimble standard ](https://www.nimbleway.com) | [Nimble standard official docs ↗ ](https://docs.nimbleway.com/api-reference/search/search) | **96.1%** 271/282 domains | 69.3% | 86.2% | 78.9% | 4,273 ms | **$1.41** $0.005 / search request; extraction-model cost excluded | POST /v2/search search\_depth=standard; focus=general; full\_content=false |
| [ Parallel ](https://parallel.ai) | [Parallel official docs ↗ ](https://docs.parallel.ai/api-reference/responses-api/create-response) | **99.7%** 281/282 domains | 86.0% | 89.4% | 94.7% | 21,317 ms | **$14.10** $0.050 / Responses request (medium reasoning) | POST /v1/responses model=parallel; reasoning.effort=medium; JSON schema output |
| [ People Data Labs ](https://www.peopledatalabs.com) | [People Data Labs official docs ↗ ](https://docs.peopledatalabs.com/docs/reference-company-enrichment-api) | **98.2%** 277/282 domains | 89.0% | 91.2% | 94.3% | 274 ms | **$27.70** $0.10 / match | GET /v5/company/enrich website={company domain} |
| [ Predict Leads ](https://predictleads.com) | [Predict Leads official docs ↗ ](https://docs.predictleads.com/guide/extended%5Fcompanies%5Fdataset) | **100.0%** 282/282 domains | 80.6% | 86.5% | 87.9% | 556 ms | **$40.00** $0.04 / API credit · 100 free; $40 monthly minimum | GET /api/v3/extended\_companies/{domain} 1 company domain per request; follows API redirect target when returned |
| [ Seltz ](https://seltz.ai) | [Seltz official docs ↗ ](https://docs.seltz.ai/api-reference/answer) | **80.8%** 228/282 domains | 30.0% | 85.1% | 33.9% | 3,556 ms | **$1.41** $0.005 / answer request | POST /v1/answer scope=companies; default answer tier; strict JSON-schema output |
| [ ZoomInfo ](https://gtm.ai) | [ZoomInfo official docs ↗ ](https://gtm.ai/docs/mcp/tools/enrich-companies) | **94.7%** 267/282 domains | 63.9% | 70.4% | 88.7% | 1,132 ms | **$93.45** $0.35 / new company record | gtm companies enrich \--domain {company domain} --fields name website domainList city state country primaryIndustry industries employeeCount employeeRange foundedYear socialMediaUrls |

\[04\] methodology boundary

## One benchmark, filtered by reviewed headquarters.

Geography is assigned from human-reviewed HQ Ground Truth before provider results are aggregated. Provider output never decides whether a company enters this slice. Every API receives the same company-domain input, responses are normalized to the same field contract, and the same five field judgments power both this page and the global table.

Read the full [sampling, Ground Truth, field-judging, and pricing methodology →](https://openbenchmarks.com/company-enrichment#methodology) 

\[05\] questions

### Which company enrichment API performs best for US companies?

People Data Labs has the highest measured correct-field yield in this 109-company slice at 87.5% (446/510 eligible human-reviewed field values correct). Field-level leaders can differ, so the table should be matched to the intended workflow.

### How are US companies defined?

Companies whose human-reviewed headquarters is in the United States. US membership is based on reviewed headquarters, not incorporation, customer footprint, provider output, or a vendor coverage claim.

### Is this a separate benchmark?

No. It is a transparent slice of the same 282-company benchmark. Every provider received the same company-domain inputs, and the same field judgments and scoring rules are used. The main benchmark contains the complete methodology and overall results.

\[06\] related analysis

[Company enrichment for international companies →](https://openbenchmarks.com/company-enrichment/international-companies) · [Complete company enrichment benchmark →](https://openbenchmarks.com/company-enrichment) · [Best company enrichment API →](https://openbenchmarks.com/company-enrichment/best-company-enrichment-api) 

open/benchmarks [company enrichment](https://openbenchmarks.com/company-enrichment) [methodology](https://openbenchmarks.com/company-enrichment#methodology) © 2026 Openbenchmarks