---
title: "Best Company Lookup API 2026: Match Rate Compared | Openbenchmarks"
description: "Best company lookup API: domain in, company record out. Nine providers compared on match rate, latency and cost over the same 282 domains. Open source."
url: https://openbenchmarks.com/company-enrichment/best-company-lookup-api
---

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

[← company enrichment benchmark](https://openbenchmarks.com/company-enrichment) 

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

company lookup · independently benchmarked

# Best company lookup API 2026: match rate, latency and cost

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.

A company lookup API does one job: **domain in, correct company record out**. Three numbers decide which one to use — **domain match rate** (does it find the company), **latency** (fast enough to run inline), and **cost per run** — plus the one vendor comparisons skip: whether the returned fields are actually right.

All are independently benchmarked here on the same 282 human-reviewed companies — deliberately including subsidiaries and recent rebrands, where lookup breaks — every field judged against Ground Truth. Not a vendor's own sample.

highest domain match rate **Predict Leads** **100.0%** 

\[00\] 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 | **CompanyEnrich** | 95.5% 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 | **CompanyEnrich** | 250 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) | **98.9%** 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 |

\[02\] 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) | 57.8% 159/275 | 75.9% 214/282 | 54.6% 153/280 | 90.0% 189/210 | **91.8%** 259/282 |
| [ 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 |

\[03\] ranked by match rate

## Nine lookup APIs — match rate, with correctness beside it

A lookup that resolves but returns wrong fields is worse than a miss — so correct field yield sits next to match rate. The [full benchmark](https://openbenchmarks.com/company-enrichment) adds accuracy-when-present, coverage, and cost.

| Provider | Domain match rate | Enrichment success rate | Median latency |
| --- | --- | --- | --- |
| **Predict Leads** | 100.0% | 80.6% | 556 ms |
| **Exa** | 100.0% | 60.4% | 8,143 ms |
| **Parallel** | 99.7% | 86.0% | 21,317 ms |
| **CompanyEnrich** | 98.9% | 73.1% | 250 ms |
| **People Data Labs** | 98.2% | 89.0% | 274 ms |
| **Apollo** | 96.8% | 88.6% | 654 ms |
| **Nimble standard** | 96.1% | 69.3% | 4,273 ms |
| **Explorium** | 95.0% | 70.5% | 616 ms |
| **ZoomInfo** | 94.7% | 63.9% | 1,132 ms |
| **Seltz** | 80.8% | 30.0% | 3,556 ms |
| **Nimble lite** | 80.1% | 54.0% | 4,584 ms |

\[04\] faq

## Company lookup APIs — common questions

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

By the axis that defines lookup — resolving a domain to the right company record — Predict Leads currently has the highest company match rate (100.0% of the 282 human-reviewed companies resolved); CompanyEnrich is fastest (250 ms median latency); Nimble lite is cheapest at public self-serve rates ($0.31 for the run). Match rate alone isn't enough — a lookup that resolves but returns wrong fields is worse than a miss, so enrichment success rate is shown beside it (People Data Labs, 89.0%).

### What is a company lookup API?

An endpoint that takes a company identifier — usually a domain, sometimes a name — and returns a structured record: legal name, HQ, industry, size, LinkedIn identity, and similar firmographic fields. It's the building block under enrichment, routing, and dedupe flows. The measurable axes are whether it finds the company (match rate), whether the returned fields are right (accuracy), how fast it answers (latency), and what it costs per resolved record.

### How is this different from vendor lookup-API comparisons?

Vendor comparisons test on samples the vendor chose and typically rank the author first. This one is independently benchmarked and evaluated: every API received the same 282 human-reviewed company domains — deliberately including subsidiaries and recent rebrands, where lookup breaks — responses were normalized to one field contract, and every scored field was judged against human-reviewed Ground Truth. No vendor pays for inclusion or rank; inputs, outputs, and judgments are public.

### Which company lookup API is fastest?

CompanyEnrich, at 250 ms median latency on this run. Latency matters when lookup runs inline — in a signup flow, a routing decision, or an agent loop — and matters much less for batch backfills.

Openbenchmarks [See the detailed company enrichment benchmark →](https://openbenchmarks.com/company-enrichment) [best company search API](https://openbenchmarks.com/lookalikes/best-company-search-api-for-gtm-list-building) © 2026 Openbenchmarks