Best B2B company data enrichment tools
Eight APIs—People Data Labs, Apollo, Parallel, Predict Leads, Explorium, CompanyEnrich, ZoomInfo, and Exa—receive the same company domain and enrich it by API calls from their official docs.
“Data enrichment” means two different things, and most rankings mix them up. Company data enrichment — firmographics from a domain: name, HQ, industry, size, LinkedIn identity. Contact data enrichment — emails, phones, titles for people. Different products, different failure modes, differently measurable.
This page covers the company half, with measured data: the same 282 human-reviewed companies, every scored field judged against Ground Truth — an independent comparison where no vendor pays for inclusion or rank. Contact-level accuracy is not measured here; treat vendor claims on it accordingly.
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 |
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 for cohort design, Ground Truth, field judging, pricing assumptions, and public evidence.
| Provider | Official docs | Resolution | Enrichment success rate | Field accuracy | Field coverage | Median latency | Est. cost | Endpoint & configuration |
|---|---|---|---|---|---|---|---|---|
| Apollo | Apollo official docs | 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 | CompanyEnrich official docs | 98.6%278/282 domains | 69.7% | 72.5% | 93.7% | 309 ms | $2.76$0.0098 / credit | GET /companies/enrichdomain={company domain} |
| Exa | Exa official docs | 100.0%282/282 domains | 60.4% | 76.2% | 77.1% | 8,143 ms | $4.23$0.015 / deep-reasoning request | POST /searchtype=deep-reasoning; category=company; numResults=10; highlights + structured output |
| Explorium | Explorium official docs | 95.0%268/282 domains | 70.5% | 87.6% | 76.0% | 616 ms | $22.00$0.04 / credit | POST /v1/businesses/match → POST /v1/businessesmode=full; page=1; page_size=10; size=10 |
| Parallel | Parallel official docs | 99.7%281/282 domains | 86.0% | 89.4% | 94.7% | 21,317 ms | $14.10$0.050 / Responses request (medium reasoning) | POST /v1/responsesmodel=parallel; reasoning.effort=medium; JSON schema output |
| People Data Labs | People Data Labs official docs | 98.2%277/282 domains | 89.0% | 91.2% | 94.3% | 274 ms | $27.70$0.10 / match | GET /v5/company/enrichwebsite={company domain} |
| Predict Leads | Predict Leads official docs | 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 |
| ZoomInfo | ZoomInfo official docs | 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 |
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.
| Provider | Official docs | HQ location | Industry | Employee band | Founded year | LinkedIn URL |
|---|---|---|---|---|---|---|
| Apollo | Apollo official docs | 87.3%240/275 | 95.4%269/282 | 78.2%219/280 | 91.8%191/208 | 90.8%256/282 |
| CompanyEnrich | CompanyEnrich official docs | 50.9%140/275 | 74.8%211/282 | 47.5%133/280 | 90.4%188/208 | 91.1%257/282 |
| Exa | Exa official docs | 82.9%228/275 | 96.1%271/282 | 33.2%93/280 | 97.6%203/208 | 5.3%15/282 |
| Explorium | Explorium official docs | 73.5%202/275 | 84.8%239/282 | 88.9%249/280 | 0.0%0/208 | 86.5%244/282 |
| Parallel | Parallel official docs | 90.9%250/275 | 92.9%262/282 | 80.7%226/280 | 76.4%159/208 | 86.2%243/282 |
| People Data Labs | People Data Labs official docs | 90.2%248/275 | 94.0%265/282 | 86.4%242/280 | 93.8%195/208 | 84.0%237/282 |
| Predict Leads | Predict Leads official docs | 68.4%188/275 | 88.3%249/282 | 78.2%219/280 | 89.9%187/208 | 84.8%239/282 |
| ZoomInfo | ZoomInfo official docs | 73.1%201/275 | 74.5%210/282 | 47.9%134/280 | 61.4%129/210 | 62.4%176/282 |
Company data vs contact data — pick your lane first
| Company data enrichment | Contact data enrichment | |
|---|---|---|
| Returns | Firmographics: name, domain, HQ, founded year, industry, LinkedIn URL, headcount | People data: emails, phones, titles, seniority |
| Answers | “What is this company?” | “Who works there and how do I reach them?” |
| Breaks on | Subsidiaries, rebrands, long-tail international companies | Stale emails, job changes, bounce rates |
| Measured here? | Yes — 8 tools, 282 companies, field-by-field | No — vendor claims until measured |
Data enrichment tools — common questions
What are the best B2B data enrichment tools in 2026?
Split the question first: company data enrichment (firmographics from a domain) is independently measured here — People Data Labs leads on correct data end to end (89.0% correct field yield), Apollo on accuracy of returned fields (92.6%), and CompanyEnrich is cheapest at self-serve rates ($2.76 for the cohort). Contact/person data enrichment (emails, phones, titles) is a different product with different failure modes — not measured here; treat vendor accuracy claims on it accordingly.
What's the difference between company and contact data enrichment?
Company (firmographic) enrichment describes the organization — name, HQ, industry, size, LinkedIn identity — and answers 'what is this company?'. Contact (person) enrichment finds emails, phones, and titles, answering 'who works there and how do I reach them?'. Many vendors sell both, but accuracy in one says nothing about the other. This benchmark measures company-level only, on 282 human-reviewed companies.
Where can I find an independent data enrichment comparison?
Vendor-published rankings aren't comparable — each tests on its own sample and tends to rank itself first. This comparison is independent: every tool received the same 282 company domains; GPT-5.6-terra judged HQ, industry, founded year, and LinkedIn URL, while GPT-5.6-sol at medium reasoning judged employee band. No vendor pays for inclusion or rank; every judgment is public and reproducible.
Is waterfall data enrichment better than a single provider?
A waterfall calls several providers in sequence and keeps the best answer — it can raise coverage, at the cost of per-row credits and complexity. Whether you need one depends on how good a single provider is on your traffic: the measured single-tool ceiling is 89.0% correct field yield (People Data Labs). If you do build a waterfall, the per-provider numbers here are the measured order to run it in.
How were these data enrichment tools tested?
Eight tools, the same 282 human-reviewed companies — deliberately including subsidiaries and recent rebrands, the cases where enrichment breaks. GPT-5.6-terra judges semantic field pairs and GPT-5.6-sol applies the dedicated numeric employee-band policy. Inputs, outputs, and judgments are public.