{
  "date": "2026-10-04",
  "capturedAt": "2026-10-04T21:10:02.836306+00:00",
  "evaluatedAt": "2026-10-04T22:47:24.472049+00:00",
  "sourceUrl": "https://openbenchmarks.com/company-enrichment",
  "referenceUrl": "https://github.com/openbenchmarks-labs/company-enrichment/blob/bd4624cb6c36b2fa3418c122c73c889347aae602/data/firmographic/company-ground-truth-v2.json",
  "referenceCommit": "bd4624cb6c36b2fa3418c122c73c889347aae602",
  "method": "Local Codex rubric assessment of all 282 saved responses against pinned public references. Missing provider values are incorrect; missing references are excluded. HQ and industry mismatches are explicitly adjudicated. LinkedIn and founded year use normalized/exact matching; headcount uses the pinned numeric policy, reported range first and exact count only when range is absent. Success is the mean company correct/eligible ratio; accuracy is the mean company correct/returned-eligible ratio among companies with returned eligible fields. Scored fields are evaluated independently, with company identity audited separately. This is not an execution of Openbenchmarks' GPT-5.6-terra / GPT-5.6-sol judges and is not an official leaderboard result. Identity-filtered sensitivity additionally removes all field credit from wrong entities; unresolved identity has lower/upper bounds. The pinned reference has 210 founded-year values; published denominators vary between 208 and 210.",
  "sources": {
    "results_sha256": "6da700aaec7446c2c86396529e0b763ecd51f0b34829526c72898a4940717fef",
    "snapshot_sha256": "ec050b21e0659cb5cde0234e046d54fe9a6f89ebc9790242bc7a033e9e517014",
    "rubric_sha256": "2782a5f14317411bfe072f1e3343070ea2148c67e2631f3320d9c118be4dba37",
    "decisions_sha256": "7a035a00cbd7b77e54293523629cc86c6265c9e1b05b4b22bc2bcdfbe4c4a582",
    "reference_commit": "bd4624cb6c36b2fa3418c122c73c889347aae602",
    "reference_url": "https://github.com/openbenchmarks-labs/company-enrichment/blob/bd4624cb6c36b2fa3418c122c73c889347aae602/data/firmographic/company-ground-truth-v2.json"
  },
  "totalCompanies": 282,
  "companiesWithData": 243,
  "apiDataReturn": 86.17021276595744,
  "returnedFields": 1127,
  "providers": [
    {
      "name": "EnrichLoops",
      "source": "self-run",
      "success": 78.10874704491725,
      "accuracy": 92.44170096021948,
      "coverage": 79.9290780141844,
      "cost": 4.86
    },
    {
      "name": "People Data Labs",
      "source": "published",
      "success": 89.05,
      "accuracy": 91.23,
      "coverage": 94.33,
      "cost": 27.700000000000003
    },
    {
      "name": "Apollo",
      "source": "published",
      "success": 88.58,
      "accuracy": 92.63,
      "coverage": 93.05,
      "cost": 10.878
    },
    {
      "name": "Parallel",
      "source": "published",
      "success": 86,
      "accuracy": 89.43,
      "coverage": 94.68,
      "cost": 14.100000000000001
    },
    {
      "name": "Predict Leads",
      "source": "published",
      "success": 80.64,
      "accuracy": 86.49,
      "coverage": 87.94,
      "cost": 40
    },
    {
      "name": "Explorium",
      "source": "published",
      "success": 70.45,
      "accuracy": 87.56,
      "coverage": 75.96,
      "cost": 21.997799999999998
    },
    {
      "name": "CompanyEnrich",
      "source": "published",
      "success": 69.65,
      "accuracy": 72.54,
      "coverage": 93.69,
      "cost": 2.7636
    },
    {
      "name": "Nimble standard",
      "source": "published",
      "success": 69.34,
      "accuracy": 86.23,
      "coverage": 78.94,
      "cost": 1.41
    },
    {
      "name": "ZoomInfo",
      "source": "published",
      "success": 63.94,
      "accuracy": 70.37,
      "coverage": 88.72,
      "cost": 93.44999999999999
    },
    {
      "name": "Exa",
      "source": "published",
      "success": 60.44,
      "accuracy": 76.18,
      "coverage": 77.09,
      "cost": 4.2299999999999995
    },
    {
      "name": "Nimble lite",
      "source": "published",
      "success": 53.98,
      "accuracy": 88.11,
      "coverage": 59.5,
      "cost": 0.30910000000000004
    },
    {
      "name": "Seltz",
      "source": "published",
      "success": 29.98,
      "accuracy": 85.06,
      "coverage": 33.9,
      "cost": 1.41
    }
  ],
  "fields": {
    "hq_location": {
      "correct": 210,
      "eligible": 275,
      "returned": 220,
      "score_pct": 76.36363636363636,
      "accuracy_pct": 95.45454545454545
    },
    "industry": {
      "correct": 232,
      "eligible": 282,
      "returned": 242,
      "score_pct": 82.26950354609929,
      "accuracy_pct": 95.86776859504133
    },
    "employee_band": {
      "correct": 218,
      "eligible": 280,
      "returned": 242,
      "score_pct": 77.85714285714286,
      "accuracy_pct": 90.08264462809917
    },
    "founded_year": {
      "correct": 163,
      "eligible": 210,
      "returned": 173,
      "score_pct": 77.61904761904762,
      "accuracy_pct": 94.21965317919076
    },
    "linkedin_url": {
      "correct": 218,
      "eligible": 282,
      "returned": 243,
      "score_pct": 77.30496453900709,
      "accuracy_pct": 89.7119341563786
    }
  },
  "identity": {
    "wrong": 16,
    "unresolved": 1,
    "successLower": 76.28250591016548,
    "successUpper": 76.37115839243499
  },
  "medianObservedLatencyMs": 92383.53768800152,
  "creditsCharged": 243,
  "exactCountFirstSuccess": 75.6323877068558,
  "costEstimate": {
    "currency": "USD",
    "addedAt": "2026-10-05",
    "pricingSourceUrl": "https://enrichloops.com/pricing",
    "pricingCheckedAt": "2026-10-05",
    "plan": "Starter",
    "monthlyPriceUsd": 25,
    "monthlyCredits": 1250,
    "unitRateUsd": 0.02,
    "chargedCredits": 243,
    "estimatedUsageUsd": 4.86,
    "basis": "Allocated value of 243 recorded credits at the Starter plan rate ($25 / 1,250 credits). Not the actual invoice or minimum cash spend. Full monthly price is $25; unused plan credits expire. No free allowance, tax or volume discount applied.",
    "peerBasis": "Unmodified published cost estimates from the October 4, 2026 OpenBenchmarks snapshot, based on entry paid self-serve rates. Apollo and Explorium use usage proxies; Nimble excludes extraction-model cost. Predict Leads retains the published $40 minimum. These estimates do not uniformly represent the minimum cash spend or equivalent output coverage."
  }
}