Clay alternatives for company enrichment
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.
Clay bundles two things: a workflow platform(tables, waterfalls, sequencing) and the enrichment layer underneath it. If what you actually need is the second — reliable company data from a domain, without per-row workflow credits — the direct route is a single enrichment API. They are measured here on the same 282 human-reviewed companies, with accuracy, speed, and cost side by side.
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 |
Eight single-API alternatives, ranked
| Provider | Enrichment success rate | Field accuracy | Est. cost (cohort) |
|---|---|---|---|
| People Data Labs | 89.0% | 91.2% | $27.70 |
| Apollo | 88.6% | 92.6% | $10.88 |
| Parallel | 86.0% | 89.4% | $14.10 |
| Predict Leads | 80.6% | 86.5% | $40.00 |
| Explorium | 70.5% | 87.6% | $22.00 |
| CompanyEnrich | 69.7% | 72.5% | $2.76 |
| ZoomInfo | 63.9% | 70.4% | $93.45 |
| Exa | 60.4% | 76.2% | $4.23 |
Building a waterfall anyway? These per-provider numbers are the measured order to run it in. Full methodology and per-company evidence →
Clay alternatives — common questions
What is the best Clay alternative for company enrichment?
Depends what you're replacing. If it's the enrichment layer — company data from a domain — eight single-provider APIs are measured on identical inputs: People Data Labs leads on correct data end to end (89.0%), CompanyEnrich is cheapest at self-serve rates ($2.76 for the cohort). If it's the workflow layer (tables, waterfalls, sequencing logic), that's a different product category not measured here.
Why isn't Clay in this benchmark?
Clay is a workflow platform that runs waterfall enrichment across multiple underlying providers inside its tables — there's no single isolatable Clay enrichment API to score on identical terms. A Clay export was used only as a temporary reference during the benchmark's development and was fully replaced by human-reviewed Ground Truth before publication.
Single enrichment API vs a Clay-style waterfall — which is better?
A waterfall calls several providers in sequence and keeps the first (or 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-API ceiling is 89.0% correct field yield (People Data Labs). And if you do build a waterfall — in Clay or anywhere — the per-provider numbers here are exactly the data you'd use to order it.
Can I use these providers inside Clay?
Generally yes — Clay and similar workflow tools can call external enrichment APIs via HTTP integrations, and several of the measured providers are available as native Clay integrations. The measured accuracy applies to the provider's data either way; the workflow layer is your choice.