Best company 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.
Every enrichment tool claims the best data. None of those claims are comparable — each vendor tests on its own sample. This guide is built the other way around: the same 282 human-reviewed companies, every scored field judged against Ground Truth — then you pick by the constraint that actually bites in your workflow, not by an overall score.
The short version: People Data Labs for the most correct data end to end, Apollo for the fewest wrong values written, CompanyEnrich on a budget. The full constraint-by-constraint split is below.
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 |
How to test an enrichment tool on your own data
The benchmark's method is copyable for a buying decision: take 50–100 of yourreal domains — include long-tail, international, subsidiaries, and recent rebrands, because that's where tools diverge — run them through each candidate, and score correct field yield (of the fields that could be filled correctly, how many were), not raw coverage. Returned is not the same as right: a tool can fill every field and still write wrong values into your CRM. Weigh cost at your actual volume beside accuracy — cheap wrong data is expensive.
Or start from the measured numbers: the full leaderboard with per-company evidence →
Enrichment tools — common questions
What is the best company enrichment tool in 2026?
Pick by constraint, not by a single winner: for CRM data you can trust end to end, People Data Labs (89.0% correct field yield); to write the fewest wrong values, Apollo (92.6% accuracy when present); on a budget, CompanyEnrich ($2.76 for the 282-company cohort at self-serve rates). All measured on identical inputs by an independent benchmark.
What is the best company enrichment software for B2B data?
Whether sold as software, a tool, or an API, the measurable layer is the same: a company domain goes in, structured firmographics come out. Eight products are measured here on 282 human-reviewed companies — the leaderboard ranks them by how much of the available data each got right, with accuracy, coverage, speed, and cost beside it.
How do I evaluate a company enrichment tool before buying?
Don't judge on demo accuracy with famous companies — every tool resolves Google. Test on your real traffic shape: long-tail domains, international companies, subsidiaries, and recent rebrands (the cohort here includes all four on purpose). Compare correct field yield rather than raw coverage — returned is not the same as right — and check cost at your actual volume.
What about Clay?
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.