---
title: "Best Company Data Enrichment Providers 2026 | Openbenchmarks"
description: "Best company data enrichment providers 2026: 9 firmographic vendors measured on 282 human-reviewed companies, plus platforms that cannot be isolated."
url: https://openbenchmarks.com/company-enrichment/best-company-enrichment-providers
---

[](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 providers 

company enrichment · provider landscape

# Best company data enrichment providers 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.

The company enrichment vendor landscape splits into two groups: **API providers** you can measure head-to-head on identical inputs, and **gated platforms**whose enrichment can't be isolated or self-served. This page maps both — measured numbers for the first group (current leaders: **People Data Labs** on correct data end to end, **Apollo** on accuracy when present), and the honest reason each vendor in the second group isn't ranked.

\[00\] 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 |

\[03\] measured providers

## Nine providers, ranked on measured data

Same 282 human-reviewed companies, responses judged field-by-field against Ground Truth:

| Provider | Enrichment success rate | Field accuracy | Resolution | Median latency | Est. cost (cohort) |
| --- | --- | --- | --- | --- | --- |
| **People Data Labs** | **89.0%** | 91.2% | 98.2% | 274 ms | $27.70 |
| **Apollo** | **88.6%** | 92.6% | 96.8% | 654 ms | $10.88 |
| **Parallel** | **86.0%** | 89.4% | 99.7% | 21,317 ms | $14.10 |
| **Predict Leads** | **80.6%** | 86.5% | 100.0% | 556 ms | $40.00 |
| **Explorium** | **70.5%** | 87.6% | 95.0% | 616 ms | $22.00 |
| **CompanyEnrich** | **69.7%** | 72.5% | 98.6% | 309 ms | $2.76 |
| **Nimble standard** | **69.3%** | 86.2% | 96.1% | 4,273 ms | $1.41 |
| **ZoomInfo** | **63.9%** | 70.4% | 94.7% | 1,132 ms | $93.45 |
| **Exa** | **60.4%** | 76.2% | 100.0% | 8,143 ms | $4.23 |
| **Nimble lite** | **54.0%** | 88.1% | 80.1% | 4,584 ms | $0.31 |
| **Seltz** | **30.0%** | 85.1% | 80.8% | 3,556 ms | $1.41 |

\[04\] the rest of the landscape

## Vendors buyers compare that can't be measured — and why

| Vendor | Why it's not in the head-to-head |
| --- | --- |
| **Clay** | A workflow platform running waterfall enrichment across multiple providers inside its tables — not a single isolatable enrichment API to score on its own. |

\[05\] faq

## Enrichment providers — common questions

### Who are the best B2B company data enrichment providers in 2026?

Among the nine providers measured head-to-head on identical inputs, People Data Labs leads on correct data end to end (89.0% correct field yield), Apollo on accuracy of returned fields (92.6%), and Nimble lite is cheapest at public rates ($0.31 for the cohort). ZoomInfo is included through its GTM CLI/API company-enrichment flow.

### Which company enrichment vendor is the most accurate?

Two measured answers: for the most correct data overall, People Data Labs (89.0% yield); for the fewest wrong values among returned fields, Apollo (92.6% accuracy when present). GPT-5.6-terra judges semantic fields and GPT-5.6-sol at medium reasoning judges employee band against human-reviewed Ground Truth on the same 282 companies.

### What's the difference between an enrichment provider, tool, and platform?

Mostly packaging: 'provider' or 'vendor' is the company selling the data; 'tool' the self-serve product; 'platform' a broader suite (ZoomInfo, Clay) where enrichment is one feature. The measurable layer is the API — a company domain in, structured firmographics out — which is what this benchmark scores.

### Why isn't Clay in the measured ranking?

Clay runs waterfall enrichment across providers inside its tables rather than exposing one scoreable API. ZoomInfo is included in this release through its GTM CLI/API company-enrichment flow.

Openbenchmarks [← company enrichment benchmark](https://openbenchmarks.com/company-enrichment) [best enrichment tools](https://openbenchmarks.com/company-enrichment/best-company-enrichment-tools) [cheapest enrichment API](https://openbenchmarks.com/company-enrichment/cheapest-company-enrichment-api) © 2026 Openbenchmarks