---
title: "Best Company Enrichment API 2026: 9 APIs Compared | Openbenchmarks"
description: "Best company enrichment API 2026: 9 B2B company data APIs measured on 282 human-reviewed companies for accuracy, match rate, latency and cost. Open source."
url: https://openbenchmarks.com/company-enrichment/best-company-enrichment-api
---

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

[See the detailed company enrichment benchmark →](https://openbenchmarks.com/company-enrichment) 

[benchmarks](https://openbenchmarks.com/) / [company enrichment](https://openbenchmarks.com/company-enrichment) / best company enrichment api 

company enrichment · buyer ranking

# Best company enrichment API 2026, compared on measured data

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.

“Best” is vendor marketing until someone measures it. This is the measured answer: the same 282 human-reviewed companies, judged field by field against Ground Truth. **People Data Labs** currently returns the most correct data end to end (**89.0%** correct field yield), while **Apollo** is the most accurate on the fields it returns (92.6%). There is no single best on every axis — accuracy, coverage, speed, and cost favor different tools.

\[00\] verdict

## Which company enrichment API is best?

There isn't one best enrichment API. The right choice depends on what happens next: filling CRM records, avoiding bad overwrites, matching a prospect list, returning complete company profiles, or powering a latency-sensitive product flow. Choose the job below; each recommendation is based on the metric that matters for it.

Which provider wins depends on the use case — CRM writeback, prospecting and matching, complete company profiles, or real-time product flows. The workflows below are ranked separately for each.

| Workflow | Recommended API | Measured evidence |
| --- | --- | --- |
| Best API for keeping CRM records current | **People Data Labs** | 89.0% enrichment success rate |
| Best API for safe CRM writeback | **Apollo** | 92.6% field accuracy |
| Best API for the most complete company data | **Parallel** | 94.7% field coverage |
| Best API for matching a company list | **Predict Leads** | 100.0% company match rate |
| Best API for real-time product or agent enrichment | **People Data Labs** | 274 ms median latency |

\[01\] provider comparison

## Compare every measured company enrichment API.

This is the overall provider table from the current 282\-company benchmark: resolution, enrichment success, field accuracy, coverage, latency, cost, and the exact endpoint tested. Read the [complete benchmark methodology](https://openbenchmarks.com/company-enrichment#methodology) for cohort design, Ground Truth, field 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) | **98.6%** 278/282 domains | 69.7% | 72.5% | 93.7% | 309 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 |

\[02\] by attribute

## Compare provider results field by field.

This is the main benchmark's per-field table for HQ location, industry, employee band, founded year, and LinkedIn URL. Each value is correct-field yield among companies carrying a reviewed reference for that attribute, so denominators differ by column.

benchmarks/firmographic/by-attribute all fields 

__Correct values per attribute, as a share of the companies carrying a verified reference for that attribute__
| Provider | Official docs | HQ location | Industry | Employee band | Founded year | LinkedIn URL |
| --- | --- | --- | --- | --- | --- | --- |
| [ Apollo ](https://www.apollo.io) | [Apollo official docs ↗ ](https://docs.apollo.io/reference/organization-search) | 87.3% 240/275 | 95.4% 269/282 | 78.2% 219/280 | 91.8% 191/208 | 90.8% 256/282 |
| [ CompanyEnrich ](https://companyenrich.com) | [CompanyEnrich official docs ↗ ](https://docs.companyenrich.com/reference/get%5Fcompanies-enrich) | 50.9% 140/275 | 74.8% 211/282 | 47.5% 133/280 | 90.4% 188/208 | **91.1%** 257/282 |
| [ Exa ](https://exa.ai) | [Exa official docs ↗ ](https://docs.exa.ai/reference/search) | 82.9% 228/275 | **96.1%** 271/282 | 33.2% 93/280 | **97.6%** 203/208 | 5.3% 15/282 |
| [ Explorium ](https://www.explorium.ai) | [Explorium official docs ↗ ](https://explorium-api.readme.io/reference/match%5Fbusinesses) | 73.5% 202/275 | 84.8% 239/282 | **88.9%** 249/280 | 0.0% 0/208 | 86.5% 244/282 |
| [ Nimble lite ](https://www.nimbleway.com) | [Nimble lite official docs ↗ ](https://docs.nimbleway.com/api-reference/search/search) | 52.0% 143/275 | 70.9% 200/282 | 44.3% 124/280 | 36.7% 77/210 | 63.1% 178/282 |
| [ Nimble standard ](https://www.nimbleway.com) | [Nimble standard official docs ↗ ](https://docs.nimbleway.com/api-reference/search/search) | 68.0% 187/275 | 85.8% 242/282 | 47.1% 132/280 | 63.3% 133/210 | 82.3% 232/282 |
| [ Parallel ](https://parallel.ai) | [Parallel official docs ↗ ](https://docs.parallel.ai/api-reference/responses-api/create-response) | **90.9%** 250/275 | 92.9% 262/282 | 80.7% 226/280 | 76.4% 159/208 | 86.2% 243/282 |
| [ People Data Labs ](https://www.peopledatalabs.com) | [People Data Labs official docs ↗ ](https://docs.peopledatalabs.com/docs/reference-company-enrichment-api) | 90.2% 248/275 | 94.0% 265/282 | 86.4% 242/280 | 93.8% 195/208 | 84.0% 237/282 |
| [ Predict Leads ](https://predictleads.com) | [Predict Leads official docs ↗ ](https://docs.predictleads.com/guide/extended%5Fcompanies%5Fdataset) | 68.4% 188/275 | 88.3% 249/282 | 78.2% 219/280 | 89.9% 187/208 | 84.8% 239/282 |
| [ Seltz ](https://seltz.ai) | [Seltz official docs ↗ ](https://docs.seltz.ai/api-reference/answer) | 35.6% 98/275 | 37.6% 106/282 | 7.9% 22/280 | 34.8% 73/210 | 35.5% 100/282 |
| [ ZoomInfo ](https://gtm.ai) | [ZoomInfo official docs ↗ ](https://gtm.ai/docs/mcp/tools/enrich-companies) | 73.1% 201/275 | 74.5% 210/282 | 47.9% 134/280 | 61.4% 129/210 | 62.4% 176/282 |

\[03\] not in the ranking

## Tools people compare that aren't measured — and why

Clay (waterfall enrichment across multiple providers inside its tables, not a single isolatable API). Treat its accuracy as a vendor claim until measured.

\[04\] faq

## Best enrichment API — common questions

### What is the best company enrichment API in 2026?

On measured enrichment success rate, People Data Labs currently leads at 89.0%. There is no universal best on every dimension, so compare the overall provider table with the field-by-field results for the attributes your workflow writes downstream.

### What is the best company enrichment tool or software for CRM data?

For CRM hygiene, use enrichment success rate — of the fields that could be filled correctly, how many were. People Data Labs is currently highest at 89.0%. If your concern is wrong values overwriting good data, use field accuracy instead: Apollo at 92.6%.

### Which company enrichment vendor is cheapest?

Nimble lite at $0.31 for the full 282-company cohort, using each vendor's entry paid self-serve rate (free allowances and volume discounts excluded; Apollo and Explorium use recorded usage proxies). Cheapest is not best — check yield and accuracy beside cost.

### What about ZoomInfo or Clay?

ZoomInfo is measured in this release through its GTM CLI/API company-enrichment flow. Compared by buyers but not measured here: Clay (waterfall enrichment across multiple providers inside its tables, not a single isolatable API). Treat its accuracy as a vendor claim until measured.

### How is 'best' measured here?

Nine providers receive the same 282 company domains. The five scored fields—HQ location, industry, employee band, founded year, and LinkedIn URL—are judged against human-reviewed Ground Truth. GPT-5.6-sol at medium reasoning applies the dedicated numeric employee-band policy; GPT-5.6-terra judges the other semantic fields. Company name and domain are retained for identity audit, not scored. Audited domain and LinkedIn redirects are accepted as the same identity; headcount accepts equivalent ranges and exact counts within the reviewed policy. No vendor pays for inclusion or rank; inputs, outputs, and judgments are public and reproducible.

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