---
title: "Cheapest Company Enrichment API 2026: Cost per Record | Openbenchmarks"
description: "Cheapest company data enrichment API: measured cost per record at public rates for the same 282-company run, shown beside accuracy. Open source."
url: https://openbenchmarks.com/company-enrichment/cheapest-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) / cheapest company enrichment api 

company enrichment · cost

# Cheapest company data enrichment API 2026: pricing beside accuracy

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.

Most pricing comparisons list rate cards. This one lists **measured cost for identical work**: what the same 282-company enrichment run actually cost at each provider's public self-serve rate — shown next to measured accuracy, because the cheapest API that writes wrong data isn't cheap. Currently cheapest: **Nimble lite** at **$0.31** for the cohort.

\[00\] 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 |

\[03\] cost beside accuracy

## Cheapest first — with the accuracy you're buying

Estimated cost for the full 282-company run at each provider's entry paid self-serve rate. Free allowances, taxes, and volume discounts excluded; Apollo and Explorium use recorded usage proxies:

| Provider | Est. cost (282-company run) | Public rate | Enrichment success rate | Field accuracy |
| --- | --- | --- | --- | --- |
| **Nimble lite** | **$0.31** | [$0.0011 / search request; extraction-model cost excluded](https://www.nimbleway.com/pricing) | 54.0% | 88.1% |
| **Nimble standard** | **$1.41** | [$0.005 / search request; extraction-model cost excluded](https://www.nimbleway.com/pricing) | 69.3% | 86.2% |
| **Seltz** | **$1.41** | [$0.005 / answer request](https://docs.seltz.ai/pricing) | 30.0% | 85.1% |
| **CompanyEnrich** | **$2.76** | [$0.0098 / credit](https://companyenrich.com/pricing) | 69.7% | 72.5% |
| **Exa** | **$4.23** | [$0.015 / deep-reasoning request](https://exa.ai/pricing?tab=api) | 60.4% | 76.2% |
| **Apollo** | **$10.88** | [$0.0196 / credit (proxy)](https://www.apollo.io/pricing?solution=enrichment) | 88.6% | 92.6% |
| **Parallel** | **$14.10** | [$0.050 / Responses request (medium reasoning)](https://docs.parallel.ai/getting-started/pricing) | 86.0% | 89.4% |
| **Explorium** | **$22.00** | [$0.04 / credit (proxy)](https://www.explorium.ai/pricing/) | 70.5% | 87.6% |
| **People Data Labs** | **$27.70** | [$0.10 / match](https://www.peopledatalabs.com/pricing/company) | 89.0% | 91.2% |
| **Predict Leads** | **$40.00** | [$0.04 / API credit · 100 free; $40 monthly minimum](https://predictleads.com/pricing) | 80.6% | 86.5% |
| **ZoomInfo** | **$93.45** | [$0.35 / new company record](https://gtm.ai/pricing) | 63.9% | 70.4% |

Rule of thumb from the data: pick the cheapest provider that clears your accuracy bar — not the cheapest outright. [Full methodology and per-company evidence →](https://openbenchmarks.com/company-enrichment) 

\[04\] faq

## Enrichment cost — common questions

### What is the cheapest company enrichment API?

At each provider's public entry self-serve rate, Nimble lite was the cheapest for the 282-company benchmark run ($0.31 total, at $0.0011 / search request; extraction-model cost excluded). Free allowances, volume discounts, and minimum commitments are excluded; Apollo and Explorium use recorded usage proxies. The full cost-beside-accuracy table is on this page.

### Is the cheapest enrichment API worth it?

Only if the data holds up — cheap wrong data costs more downstream than the credits saved. That's why cost is shown next to measured accuracy here: Nimble lite is cheapest at 54.0% correct field yield, while the yield leader is People Data Labs at 89.0%. Pick the cheapest option that clears your accuracy bar, not the cheapest outright.

### How is enrichment API cost calculated here?

Recorded usage from the actual benchmark run multiplied by each provider's public per-unit rate on its entry paid self-serve tier (reviewed through September 3, 2026), with each rate linked to the provider's pricing page. It's an estimate of like-for-like cost on identical work — not a quote; enterprise pricing and volume discounts will differ.

### Is there a free company enrichment API?

Several providers offer free tiers or trial credits, but free-tier accuracy and limits aren't measured here — the benchmark ran on paid self-serve terms so every provider did identical work. Treat free-tier quality as a vendor claim until measured.

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