benchmarks/company enrichment
300 companies · company enrichment

Company Enrichment Benchmark

Seven APIs receive the same company domain. The scored fields are company name, primary domain, HQ country/city, founded year, industry, LinkedIn URL, and headcount band.

This live cohort contains 300 companies across stable-large, long-tail, subsidiary, and verified-rebrand slices. The headline rank is correct field yield: semantically correct returned fields divided by all available LinkedIn reference fields for that company. Accuracy when present, resolution, coverage, and latency are shown beside it.

current correct-yield leaderPeople Data Labs86.7%

open data + codeInputs, normalized provider outputs, and field-level judgments are public in openbenchmarks-labs/company-enrichment.github →

Correct field yield first. Completeness and speed in context.

Ranked by correct field yield against available fields from identity-verified LinkedIn company pages. GPT-5.6 compares each reference/provider field pair with a strict yes/no structured verdict; industry uses a separate judge that accepts consistent umbrella and subsector labels. Missing reference data is excluded from the denominator. Estimated cost converts recorded usage using each provider's entry paid public self-serve tier; pricing details are in the methodology.

benchmarks/firmographic/company-firmographic-linkedin-gt-2026-q3-v1live
Company enrichment providers ranked by correct field yield
RankProviderResolutionCorrect field yieldAccuracy when presentField coverageMedian latencyEst. cost
01People Data Labs98.3%295/300 domains86.7%88.6%95.4%274 ms$29.50$0.10 / match
02Fiber99.3%298/300 domains86.1%87.1%97.2%602 ms$11.80$0.020 / credit
03Ocean.io100.0%300/300 domains85.3%86.3%96.9%534 ms$1.92$0.064 / credit
04Apollo97.0%291/300 domains84.2%87.8%94.0%656 ms$11.58$0.0196 / credit
05PredictLeads100.0%300/300 domains83.8%88.7%91.3%555 ms$12.00$0.04 / request
06Explorium95.0%285/300 domains74.1%87.6%81.3%617 ms$23.40$0.04 / credit
07CompanyEnrich98.3%295/300 domains71.1%73.7%94.9%309 ms$2.94$0.0098 / credit
[02] methodology+

Four slices, from baseline to identity stress

The cohort covers four company types: established large companies, smaller companies across languages and countries, subsidiaries, and recent rebrands. Each group tests a different source of enrichment error: limited public data, parent-company confusion, or outdated identity records.

78 companies

Stable large

Active, non-subsidiary companies with at least 1,000 employees, founded by 2015. This is the well-documented baseline every provider should resolve reliably.

89 companies

Long tail

Active, non-subsidiary companies with 10–200 employees, sampled across U.S. English, non-U.S. English, and non-English strata. This tests sparse profiles and international coverage.

80 companies

Subsidiaries

Companies marked as subsidiaries in the discovery index. This tests whether a provider returns the requested entity instead of its parent; the source flag selected candidates but was not used as reference data.

53 companies

Verified rebrands

Recent one-company name or domain changes verified from Business Wire plus current-site, redirect, company, or regulatory evidence. This tests stale names, domains, and LinkedIn identities.

From 367 candidates to one fixed input list

  1. Draw 100 stable-large, 100 long-tail, and 100 subsidiary candidates from a read-only company index using fixed-seed random sampling, country and language diversity caps, and global company/domain deduplication.
  2. Review 100 recent rows from Business Wire's maintained Company Name Change feed. Accept only 67 unambiguous, one-company transitions with a verified current identity; reject mergers, divisions, partial histories, and nonprofits.
  3. Freeze the candidate frame before scoring. Candidate-source attributes help select companies but never become expected field values. Every provider receives the same final 300 domains.

Resolve the entity before judging its fields

  1. Our team visited each candidate's website and LinkedIn company page and confirmed that the pair represented the same company. This resolved 305 of 367 candidates.
  2. The team recorded the available fields from each retrievable, identity-confirmed LinkedIn page. Five pages could not be retrieved, leaving the frozen 300-company cohort: 78 stable-large, 89 long-tail, 80 subsidiaries, and 53 verified rebrands.
  3. Use only available LinkedIn fields as reference data, normalize all provider responses to the same seven-field contract, and judge each reference/provider pair with GPT-5.6 structured output. Missing reference data is excluded; final judgments were spot-checked by a human.

Correct field yield

  • correct fields ÷ fields with available LinkedIn reference data
  • Missing or incorrect provider values lower the score. Fields without reference data do not count.

Estimated USD cost

  • Recorded usage is multiplied by the public unit rate on each provider's entry paid self-serve tier as of July 14, 2026.
  • Fiber $0.020 / credit; Ocean.io $0.064 / credit; People Data Labs $0.10 / match; PredictLeads $0.04 / request; Apollo $0.0196 / credit; CompanyEnrich $0.0098 / credit; Explorium $0.04 / credit.
  • Free allowances, taxes, minimum commitments, and volume discounts are excluded. Apollo and Explorium use recorded request/credit-event proxies because their responses did not expose an exact charge.

Every company × every provider.

Each cell shows correct field yield, with accuracy on returned evaluable fields below it. Hover a cell for coverage, status, and latency.

coverage matrix2100 runs
Per-company correct field yield by enrichment provider
CompanyPeople Data LabsFiberOcean.ioApolloPredictLeadsExploriumCompanyEnrich
Envirotech Vehicles, Inc.evtvusa.com100.0%accuracy 100.0%71.4%accuracy 71.4%57.1%accuracy 57.1%100.0%accuracy 100.0%42.9%accuracy 50.0%71.4%accuracy 83.3%57.1%accuracy 57.1%
Del Monte Corporationfreshdelmonte.com66.7%accuracy 66.7%83.3%accuracy 83.3%50.0%accuracy 50.0%66.7%accuracy 66.7%66.7%accuracy 66.7%33.3%accuracy 33.3%33.3%accuracy 33.3%
Currentcurrent.conot foundnot_found80.0%accuracy 80.0%60.0%accuracy 75.0%40.0%accuracy 40.0%40.0%accuracy 100.0%not foundnot_found80.0%accuracy 80.0%
Airspeedgoairspeed.comnot foundnot_found100.0%accuracy 100.0%50.0%accuracy 75.0%83.3%accuracy 100.0%33.3%accuracy 66.7%not foundnot_found66.7%accuracy 66.7%
Kinislakinisla.com71.4%accuracy 71.4%85.7%accuracy 85.7%100.0%accuracy 100.0%85.7%accuracy 85.7%28.6%accuracy 66.7%not foundnot_found71.4%accuracy 83.3%