{
 "id": "find",
 "title": "Work email finding",
 "question": "Which finder returns the person's exact work address?",
 "n": 200,
 "positives": 200,
 "primary_metric": {
  "name": "exact match rate",
  "definition": "Share of the rows asked where the person's exact work address was returned. Wilson 95% interval."
 },
 "rows": [
  {
   "vendor": "Pipecorn",
   "n": 50,
   "metric": 0.88,
   "ci_low": 0.7619,
   "ci_high": 0.9438,
   "secondary": {
    "precision": 0.9167,
    "recall": 0.88,
    "coverage": 0.96,
    "alias_tolerant": 0.94,
    "alias_tolerant_ci": [
     0.8378,
     0.9794
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Clay",
     "usd_per_call": 0.097632,
     "usd_per_1k_correct": 110.95,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "Surfe",
   "n": 50,
   "metric": 0.84,
   "ci_low": 0.7149,
   "ci_high": 0.9166,
   "secondary": {
    "precision": 0.913,
    "recall": 0.84,
    "coverage": 0.92,
    "alias_tolerant": 0.9,
    "alias_tolerant_ci": [
     0.7864,
     0.9565
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Clay",
     "usd_per_call": 0.115782,
     "usd_per_1k_correct": 137.84,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "Anymailfinder",
   "n": 200,
   "metric": 0.82,
   "ci_low": 0.7609,
   "ci_high": 0.8671,
   "secondary": {
    "precision": 0.9535,
    "recall": 0.82,
    "coverage": 0.86,
    "alias_tolerant": 0.855,
    "alias_tolerant_ci": [
     0.7995,
     0.8971
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.0172,
     "usd_per_1k_correct": 20.98,
     "median_latency_s": 3.0
    }
   ],
   "note": ""
  },
  {
   "vendor": "Lunar",
   "n": 50,
   "metric": 0.82,
   "ci_low": 0.692,
   "ci_high": 0.9023,
   "secondary": {
    "precision": 0.9111,
    "recall": 0.82,
    "coverage": 0.9,
    "alias_tolerant": 0.9,
    "alias_tolerant_ci": [
     0.7864,
     0.9565
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Clay",
     "usd_per_call": 0.09153,
     "usd_per_1k_correct": 111.62,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "Zeliq",
   "n": 50,
   "metric": 0.82,
   "ci_low": 0.692,
   "ci_high": 0.9023,
   "secondary": {
    "precision": 0.8723,
    "recall": 0.82,
    "coverage": 0.94,
    "alias_tolerant": 0.9,
    "alias_tolerant_ci": [
     0.7864,
     0.9565
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Clay",
     "usd_per_call": 0.095598,
     "usd_per_1k_correct": 116.58,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "Findymail",
   "n": 200,
   "metric": 0.805,
   "ci_low": 0.7446,
   "ci_high": 0.8539,
   "secondary": {
    "precision": 0.9471,
    "recall": 0.805,
    "coverage": 0.85,
    "alias_tolerant": 0.835,
    "alias_tolerant_ci": [
     0.7773,
     0.88
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.01683,
     "usd_per_1k_correct": 20.91,
     "median_latency_s": 1.6
    },
    {
     "store": "DeepLine",
     "usd_per_call": 0.0238,
     "usd_per_1k_correct": 31.73,
     "median_latency_s": 3.2
    },
    {
     "store": "Clay",
     "usd_per_call": 0.08783182,
     "usd_per_1k_correct": 113.66,
     "median_latency_s": null
    }
   ],
   "note": ""
  },
  {
   "vendor": "Wiza",
   "n": 50,
   "metric": 0.78,
   "ci_low": 0.6476,
   "ci_high": 0.8725,
   "secondary": {
    "precision": 0.907,
    "recall": 0.78,
    "coverage": 0.86,
    "alias_tolerant": 0.84,
    "alias_tolerant_ci": [
     0.7149,
     0.9166
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "DeepLine",
     "usd_per_call": 0.0602,
     "usd_per_1k_correct": 77.18,
     "median_latency_s": 7.9
    },
    {
     "store": "Treg",
     "usd_per_call": 0.075,
     "usd_per_1k_correct": 115.38,
     "median_latency_s": null
    },
    {
     "store": "Clay",
     "usd_per_call": 0.07858636,
     "usd_per_1k_correct": 115.26,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "Sixtyfour",
   "n": 50,
   "metric": 0.78,
   "ci_low": 0.6476,
   "ci_high": 0.8725,
   "secondary": {
    "precision": 0.8125,
    "recall": 0.78,
    "coverage": 0.96,
    "alias_tolerant": 0.92,
    "alias_tolerant_ci": [
     0.8116,
     0.9685
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.144,
     "usd_per_1k_correct": 184.62,
     "median_latency_s": 7.7
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "Enrow",
   "n": 200,
   "metric": 0.77,
   "ci_low": 0.7069,
   "ci_high": 0.8229,
   "secondary": {
    "precision": 0.9112,
    "recall": 0.77,
    "coverage": 0.845,
    "alias_tolerant": 0.83,
    "alias_tolerant_ci": [
     0.7718,
     0.8757
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.0087,
     "usd_per_1k_correct": 11.3,
     "median_latency_s": null
    },
    {
     "store": "Clay",
     "usd_per_call": 0.04854545,
     "usd_per_1k_correct": 59.33,
     "median_latency_s": null
    }
   ],
   "note": ""
  },
  {
   "vendor": "Limadata",
   "n": 200,
   "metric": 0.77,
   "ci_low": 0.7069,
   "ci_high": 0.8229,
   "secondary": {
    "precision": 0.8556,
    "recall": 0.77,
    "coverage": 0.9,
    "alias_tolerant": 0.84,
    "alias_tolerant_ci": [
     0.7829,
     0.8843
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.018,
     "usd_per_1k_correct": 23.38,
     "median_latency_s": 1.6
    },
    {
     "store": "DeepLine",
     "usd_per_call": 0.0266,
     "usd_per_1k_correct": 38.0,
     "median_latency_s": 2.0
    }
   ],
   "note": ""
  },
  {
   "vendor": "Leadsforge",
   "n": 200,
   "metric": 0.77,
   "ci_low": 0.7069,
   "ci_high": 0.8229,
   "secondary": {
    "precision": 0.8701,
    "recall": 0.77,
    "coverage": 0.885,
    "alias_tolerant": 0.865,
    "alias_tolerant_ci": [
     0.8107,
     0.9055
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.0216825,
     "usd_per_1k_correct": 28.16,
     "median_latency_s": 2.1
    }
   ],
   "note": ""
  },
  {
   "vendor": "OrbiSearch",
   "n": 200,
   "metric": 0.76,
   "ci_low": 0.6963,
   "ci_high": 0.8139,
   "secondary": {
    "precision": 0.9383,
    "recall": 0.76,
    "coverage": 0.81,
    "alias_tolerant": 0.8,
    "alias_tolerant_ci": [
     0.7391,
     0.8495
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.0062,
     "usd_per_1k_correct": 8.16,
     "median_latency_s": 1.6
    }
   ],
   "note": ""
  },
  {
   "vendor": "FullEnrich",
   "n": 50,
   "metric": 0.76,
   "ci_low": 0.6259,
   "ci_high": 0.857,
   "secondary": {
    "precision": 0.8261,
    "recall": 0.76,
    "coverage": 0.92,
    "alias_tolerant": 0.9,
    "alias_tolerant_ci": [
     0.7864,
     0.9565
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Clay",
     "usd_per_call": 0.093564,
     "usd_per_1k_correct": 123.11,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "SMARTe",
   "n": 50,
   "metric": 0.76,
   "ci_low": 0.6259,
   "ci_high": 0.857,
   "secondary": {
    "precision": 0.8837,
    "recall": 0.76,
    "coverage": 0.86,
    "alias_tolerant": 0.84,
    "alias_tolerant_ci": [
     0.7149,
     0.9166
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Clay",
     "usd_per_call": 0.253614,
     "usd_per_1k_correct": 333.7,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "ZeroBounce",
   "n": 50,
   "metric": 0.72,
   "ci_low": 0.5833,
   "ci_high": 0.8253,
   "secondary": {
    "precision": 0.9,
    "recall": 0.72,
    "coverage": 0.8,
    "alias_tolerant": 0.78,
    "alias_tolerant_ci": [
     0.6476,
     0.8725
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.276,
     "usd_per_1k_correct": 383.33,
     "median_latency_s": 5.0
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "BetterContact",
   "n": 50,
   "metric": 0.64,
   "ci_low": 0.5014,
   "ci_high": 0.7586,
   "secondary": {
    "precision": 0.7111,
    "recall": 0.64,
    "coverage": 0.9,
    "alias_tolerant": 0.78,
    "alias_tolerant_ci": [
     0.6476,
     0.8725
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Clay",
     "usd_per_call": 0.135,
     "usd_per_1k_correct": 210.94,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "Aviato",
   "n": 33,
   "metric": 0.5758,
   "ci_low": 0.4081,
   "ci_high": 0.7276,
   "secondary": {
    "precision": 0.7037,
    "recall": 0.5758,
    "coverage": 0.8182,
    "alias_tolerant": 0.6364,
    "alias_tolerant_ci": [
     0.4662,
     0.7781
    ]
   },
   "tie_group": 1,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.06545455,
     "usd_per_1k_correct": 113.68,
     "median_latency_s": 1.0
    }
   ],
   "note": "ran on the 33-row subset: the frozen 50, cut to the rows that hold a LinkedIn URL"
  },
  {
   "vendor": "Dropcontact",
   "n": 200,
   "metric": 0.735,
   "ci_low": 0.6698,
   "ci_high": 0.7913,
   "secondary": {
    "precision": 0.875,
    "recall": 0.735,
    "coverage": 0.84,
    "alias_tolerant": 0.78,
    "alias_tolerant_ci": [
     0.7176,
     0.8318
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.034,
     "usd_per_1k_correct": 46.26,
     "median_latency_s": null
    },
    {
     "store": "Clay",
     "usd_per_call": 0.08783182,
     "usd_per_1k_correct": 120.77,
     "median_latency_s": null
    }
   ],
   "note": ""
  },
  {
   "vendor": "Hunter",
   "n": 200,
   "metric": 0.73,
   "ci_low": 0.6646,
   "ci_high": 0.7868,
   "secondary": {
    "precision": 0.8795,
    "recall": 0.73,
    "coverage": 0.83,
    "alias_tolerant": 0.82,
    "alias_tolerant_ci": [
     0.7609,
     0.8671
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.020335,
     "usd_per_1k_correct": 27.86,
     "median_latency_s": 1.7
    },
    {
     "store": "DeepLine",
     "usd_per_call": 0.0255,
     "usd_per_1k_correct": 36.43,
     "median_latency_s": 1.8
    },
    {
     "store": "Clay",
     "usd_per_call": 0.08783182,
     "usd_per_1k_correct": 120.77,
     "median_latency_s": null
    }
   ],
   "note": ""
  },
  {
   "vendor": "Tomba",
   "n": 200,
   "metric": 0.705,
   "ci_low": 0.6384,
   "ci_high": 0.7639,
   "secondary": {
    "precision": 0.8598,
    "recall": 0.705,
    "coverage": 0.82,
    "alias_tolerant": 0.75,
    "alias_tolerant_ci": [
     0.6857,
     0.8049
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.007298,
     "usd_per_1k_correct": 10.35,
     "median_latency_s": 7.3
    }
   ],
   "note": ""
  },
  {
   "vendor": "LeadMagic",
   "n": 200,
   "metric": 0.685,
   "ci_low": 0.6176,
   "ci_high": 0.7454,
   "secondary": {
    "precision": 0.9448,
    "recall": 0.685,
    "coverage": 0.725,
    "alias_tolerant": 0.72,
    "alias_tolerant_ci": [
     0.6541,
     0.7776
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.018125,
     "usd_per_1k_correct": 26.46,
     "median_latency_s": 8.5
    },
    {
     "store": "DeepLine",
     "usd_per_call": 0.0272,
     "usd_per_1k_correct": 38.86,
     "median_latency_s": 10.0
    },
    {
     "store": "Clay",
     "usd_per_call": 0.03883636,
     "usd_per_1k_correct": 65.72,
     "median_latency_s": null
    }
   ],
   "note": ""
  },
  {
   "vendor": "TryKitt",
   "n": 200,
   "metric": 0.68,
   "ci_low": 0.6125,
   "ci_high": 0.7407,
   "secondary": {
    "precision": 0.8144,
    "recall": 0.68,
    "coverage": 0.835,
    "alias_tolerant": 0.75,
    "alias_tolerant_ci": [
     0.6857,
     0.8049
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.004175,
     "usd_per_1k_correct": 6.14,
     "median_latency_s": 4.3
    },
    {
     "store": "DeepLine",
     "usd_per_call": 0.0056,
     "usd_per_1k_correct": 9.33,
     "median_latency_s": 5.1
    },
    {
     "store": "Clay",
     "usd_per_call": 0.04611818,
     "usd_per_1k_correct": 72.47,
     "median_latency_s": null
    }
   ],
   "note": ""
  },
  {
   "vendor": "Dropleads",
   "n": 200,
   "metric": 0.6,
   "ci_low": 0.5308,
   "ci_high": 0.6654,
   "secondary": {
    "precision": 0.7742,
    "recall": 0.6,
    "coverage": 0.775,
    "alias_tolerant": 0.67,
    "alias_tolerant_ci": [
     0.6022,
     0.7314
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.00936,
     "usd_per_1k_correct": 15.6,
     "median_latency_s": 2.2
    }
   ],
   "note": ""
  },
  {
   "vendor": "Icypeas",
   "n": 200,
   "metric": 0.565,
   "ci_low": 0.4957,
   "ci_high": 0.6318,
   "secondary": {
    "precision": 0.9576,
    "recall": 0.565,
    "coverage": 0.59,
    "alias_tolerant": 0.59,
    "alias_tolerant_ci": [
     0.5208,
     0.6558
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "DeepLine",
     "usd_per_call": 0.01393,
     "usd_per_1k_correct": 24.65,
     "median_latency_s": 4.5
    },
    {
     "store": "Treg",
     "usd_per_call": 0.019,
     "usd_per_1k_correct": 29.23,
     "median_latency_s": null
    },
    {
     "store": "Clay",
     "usd_per_call": 0.02260227,
     "usd_per_1k_correct": 31.08,
     "median_latency_s": null
    }
   ],
   "note": ""
  },
  {
   "vendor": "Fiber AI",
   "n": 131,
   "metric": 0.5573,
   "ci_low": 0.4718,
   "ci_high": 0.6395,
   "secondary": {
    "precision": 0.7449,
    "recall": 0.5573,
    "coverage": 0.7481,
    "alias_tolerant": 0.6031,
    "alias_tolerant_ci": [
     0.5175,
     0.6828
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.02992366,
     "usd_per_1k_correct": 53.7,
     "median_latency_s": 25.8
    }
   ],
   "note": "ran on the 131 rows that hold a LinkedIn URL"
  },
  {
   "vendor": "HarvestAPI",
   "n": 131,
   "metric": 0.4656,
   "ci_low": 0.3824,
   "ci_high": 0.5508,
   "secondary": {
    "precision": 0.6354,
    "recall": 0.4656,
    "coverage": 0.7328,
    "alias_tolerant": 0.5573,
    "alias_tolerant_ci": [
     0.4718,
     0.6395
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.00949618,
     "usd_per_1k_correct": 20.39,
     "median_latency_s": 10.9
    }
   ],
   "note": "ran on the 131 rows that hold a LinkedIn URL"
  },
  {
   "vendor": "Enrich CRM",
   "n": 50,
   "metric": 0.46,
   "ci_low": 0.3297,
   "ci_high": 0.596,
   "secondary": {
    "precision": 0.92,
    "recall": 0.46,
    "coverage": 0.5,
    "alias_tolerant": 0.5,
    "alias_tolerant_ci": [
     0.3664,
     0.6336
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Clay",
     "usd_per_call": 0.05085,
     "usd_per_1k_correct": 110.54,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "Snov.io",
   "n": 50,
   "metric": 0.46,
   "ci_low": 0.3297,
   "ci_high": 0.596,
   "secondary": {
    "precision": 0.6216,
    "recall": 0.46,
    "coverage": 0.74,
    "alias_tolerant": 0.58,
    "alias_tolerant_ci": [
     0.4423,
     0.7063
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Clay",
     "usd_per_call": 0.075258,
     "usd_per_1k_correct": 163.6,
     "median_latency_s": null
    }
   ],
   "note": "ran on the frozen 50-row subset"
  },
  {
   "vendor": "AnyAPI",
   "n": 131,
   "metric": 0.458,
   "ci_low": 0.3751,
   "ci_high": 0.5433,
   "secondary": {
    "precision": 0.6383,
    "recall": 0.458,
    "coverage": 0.7176,
    "alias_tolerant": 0.5496,
    "alias_tolerant_ci": [
     0.4642,
     0.6322
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.01091603,
     "usd_per_1k_correct": 23.83,
     "median_latency_s": 7.7
    }
   ],
   "note": "ran on the 131 rows that hold a LinkedIn URL"
  },
  {
   "vendor": "AI Ark",
   "n": 131,
   "metric": 0.4275,
   "ci_low": 0.346,
   "ci_high": 0.5131,
   "secondary": {
    "precision": 0.7778,
    "recall": 0.4275,
    "coverage": 0.5496,
    "alias_tolerant": 0.4733,
    "alias_tolerant_ci": [
     0.3898,
     0.5583
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.00289484,
     "usd_per_1k_correct": 6.77,
     "median_latency_s": 4.1
    }
   ],
   "note": "ran on the 131 rows that hold a LinkedIn URL"
  },
  {
   "vendor": "Prospeo",
   "n": 200,
   "metric": 0.42,
   "ci_low": 0.3537,
   "ci_high": 0.4893,
   "secondary": {
    "precision": 0.8842,
    "recall": 0.42,
    "coverage": 0.475,
    "alias_tolerant": 0.46,
    "alias_tolerant_ci": [
     0.3923,
     0.5292
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.0116375,
     "usd_per_1k_correct": 27.71,
     "median_latency_s": 0.9
    },
    {
     "store": "DeepLine",
     "usd_per_call": 0.0385,
     "usd_per_1k_correct": 85.56,
     "median_latency_s": 1.4
    },
    {
     "store": "Clay",
     "usd_per_call": 0.05085,
     "usd_per_1k_correct": 111.87,
     "median_latency_s": null
    }
   ],
   "note": ""
  },
  {
   "vendor": "Datagma",
   "n": 200,
   "metric": 0.395,
   "ci_low": 0.3298,
   "ci_high": 0.4641,
   "secondary": {
    "precision": 0.908,
    "recall": 0.395,
    "coverage": 0.435,
    "alias_tolerant": 0.43,
    "alias_tolerant_ci": [
     0.3633,
     0.4993
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "DeepLine",
     "usd_per_call": 0.00609,
     "usd_per_1k_correct": 15.42,
     "median_latency_s": 6.5
    },
    {
     "store": "Clay",
     "usd_per_call": 0.05547273,
     "usd_per_1k_correct": 110.95,
     "median_latency_s": null
    }
   ],
   "note": ""
  },
  {
   "vendor": "QuickEnrich",
   "n": 200,
   "metric": 0.385,
   "ci_low": 0.3203,
   "ci_high": 0.454,
   "secondary": {
    "precision": 0.9747,
    "recall": 0.385,
    "coverage": 0.395,
    "alias_tolerant": 0.395,
    "alias_tolerant_ci": [
     0.3298,
     0.4641
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.00190943,
     "usd_per_1k_correct": 4.96,
     "median_latency_s": 0.8
    },
    {
     "store": "DeepLine",
     "usd_per_call": 0.0024,
     "usd_per_1k_correct": 6.0,
     "median_latency_s": 1.5
    }
   ],
   "note": ""
  },
  {
   "vendor": "ContactOut",
   "n": 33,
   "metric": 0.3333,
   "ci_low": 0.1975,
   "ci_high": 0.5039,
   "secondary": {
    "precision": 0.6875,
    "recall": 0.3333,
    "coverage": 0.4848,
    "alias_tolerant": 0.3939,
    "alias_tolerant_ci": [
     0.2468,
     0.5632
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "DeepLine",
     "usd_per_call": 0.06787879,
     "usd_per_1k_correct": 203.64,
     "median_latency_s": 1.6
    },
    {
     "store": "Treg",
     "usd_per_call": 0.06923077,
     "usd_per_1k_correct": 225.0,
     "median_latency_s": 1.0
    }
   ],
   "note": "ran on the 33-row subset: the frozen 50, cut to the rows that hold a LinkedIn URL"
  },
  {
   "vendor": "BlitzAPI",
   "n": 131,
   "metric": 0.3206,
   "ci_low": 0.2468,
   "ci_high": 0.4047,
   "secondary": {
    "precision": 0.7368,
    "recall": 0.3206,
    "coverage": 0.4351,
    "alias_tolerant": 0.3511,
    "alias_tolerant_ci": [
     0.2747,
     0.4361
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.00021538,
     "usd_per_1k_correct": 0.67,
     "median_latency_s": 1.1
    }
   ],
   "note": "ran on the 131 rows that hold a LinkedIn URL"
  },
  {
   "vendor": "MoltSets",
   "n": 200,
   "metric": 0.315,
   "ci_low": 0.2546,
   "ci_high": 0.3824,
   "secondary": {
    "precision": 0.913,
    "recall": 0.315,
    "coverage": 0.345,
    "alias_tolerant": 0.34,
    "alias_tolerant_ci": [
     0.2779,
     0.4081
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.00345,
     "usd_per_1k_correct": 10.95,
     "median_latency_s": 0.8
    }
   ],
   "note": ""
  },
  {
   "vendor": "LeadOcean",
   "n": 131,
   "metric": 0.1679,
   "ci_low": 0.1136,
   "ci_high": 0.2412,
   "secondary": {
    "precision": 0.55,
    "recall": 0.1679,
    "coverage": 0.3053,
    "alias_tolerant": 0.2061,
    "alias_tolerant_ci": [
     0.1457,
     0.2833
    ]
   },
   "tie_group": 2,
   "stores": [
    {
     "store": "Treg",
     "usd_per_call": 0.00038168,
     "usd_per_1k_correct": 2.27,
     "median_latency_s": 1.1
    }
   ],
   "note": "ran on the 131 rows that hold a LinkedIn URL"
  }
 ],
 "not_measured": [
  {
   "vendor": "Forager",
   "reason": "the request matches DeepLine's schema and Forager's docs, and the answer came back empty on 31 of 33 rows and again on a fresh probe."
  },
  {
   "vendor": "Village",
   "reason": "needs its own Village account; signing up was out of scope."
  }
 ],
 "tests": "Holm-corrected exact paired McNemar against the leader, alpha 0.05, over the rows both answered; a correct row is an exact match. report.py's printed table tests the rate with a paired normal interval instead.",
 "caveats": [
  "The key comes from one company's records, skewed to learning and development buyers: 200 people who wrote to us, and the address they wrote from is the only exact match.",
  "`right` needs the exact address; another address at the same company counts as wrong, and alias_tolerant is a column beside the headline, never a replacement for it.",
  "A finder's own confidence or 'verified' status is its estimate, not a verdict: only the address is scored.",
  "A wrong address is a final answer: unlike a verifier's 'don't know', it ends that row.",
  "Clay records no latency, so a Clay store's median latency is null."
 ]
}