API Reference›Servicing Plane›Servicing reports›Read the AI-quality report

Read the AI-quality report

GEThttps://sandbox.api.lendeasy.ai/v1/servicing/reports/ai-qualityImplementedBearer token ·READ_SERVICING_REPORTS

Returns retained output, grounding, runtime, and human-review quality projections.

Request

curl https://sandbox.api.lendeasy.ai/v1/servicing/reports/ai-quality \
  -H "Authorization: Bearer $TOKEN" \
  -H "LendEasy-Tenant: $TENANT"

await fetch(`https://sandbox.api.lendeasy.ai/v1/servicing/reports/ai-quality`, {
  method: "GET",
  headers: { Authorization: `Bearer ${token}`, "LendEasy-Tenant": tenant },
});

requests.get(
  f"https://sandbox.api.lendeasy.ai/v1/servicing/reports/ai-quality",
  headers={"Authorization": f"Bearer {token}", "LendEasy-Tenant": tenant},
)

{
  "asOf": "2026-07-25T18: 30:00Z",
  "effectiveQuery": {
    "limit": 50,
    "offset": 0
  },
  "rows": [
    {
      "aiSessionId": 9501,
      "workerCode": "COLLECTIONS_ASSISTANT",
      "adapterCode": "STUB_AI_V1",
      "contractVersion": "1.0",
      "objective": "SUMMARIZE_CASE",
      "autonomyLevel": "A2",
      "runtimeVersion": "runtime-2026.07",
      "policyVersion": "policy-12",
      "workPacketVersion": "packet-v1",
      "sessionStatus": "COMPLETED",
      "startedAt": "2026-07-25T18: 20:00Z",
      "caseId": 1001,
      "outputId": 9001,
      "outputType": "CASE_SUMMARY",
      "outputStatus": "REVIEWED",
      "confidence": 0.92,
      "groundingStatus": "GROUNDED",
      "reviewerWorkerId": 4101,
      "reviewerWorkerCode": "MARIA_AGENT",
      "reviewedAt": "2026-07-25T18: 35:00Z"
    }
  ],
  "returnedCount": 1,
  "hasMore": false
}

{
  "developerMessage": "Request was understood but rejected; inspect errors for field-level causes.",
  "httpStatusCode": "400",
  "defaultUserMessage": "The request could not be applied.",
  "userMessageGlobalisationCode": "validation.msg.validation.errors.exist",
  "errors": []
}

{
  "developerMessage": "Request was understood but rejected; inspect errors for field-level causes.",
  "httpStatusCode": "401",
  "defaultUserMessage": "The request could not be applied.",
  "userMessageGlobalisationCode": "error.msg.not.authenticated",
  "errors": []
}

{
  "developerMessage": "Request was understood but rejected; inspect errors for field-level causes.",
  "httpStatusCode": "403",
  "defaultUserMessage": "The request could not be applied.",
  "userMessageGlobalisationCode": "error.msg.not.authorized",
  "errors": []
}

{
  "developerMessage": "Request was understood but rejected; inspect errors for field-level causes.",
  "httpStatusCode": "404",
  "defaultUserMessage": "The request could not be applied.",
  "userMessageGlobalisationCode": "error.msg.resource.not.found",
  "errors": []
}

Path & query parameters

Field	Type	Description
LendEasy-Tenant required in header	string	Opaque active LendEasy tenant-registry identifier. Supply exactly one instance; no alternate tenant selector is accepted.
workerCode optional in query	string	Exact registered worker code.
adapterCode optional in query	string	Exact adapter code.
outputType optional in query	string	Exact output type.
outputStatus optional in query	string	Exact output state.
runtimeVersion optional in query	string	Exact worker-reported runtime version.
reviewer optional in query	string	Reviewer ID or me.
reviewedFrom optional in query	string	Inclusive timestamp lower bound.
reviewedTo optional in query	string	Exclusive timestamp upper bound.
limit optional in query	integer	Maximum rows to return; defaults to 50.
offset optional in query	integer	Zero-based row offset; defaults to 0.
sort optional in query	string	Allowlisted sort field for this collection.
order optional in query	string	Sort direction. One of `asc · desc`.

Request

curl https://sandbox.api.lendeasy.ai/v1/servicing/reports/ai-quality \
  -H "Authorization: Bearer $TOKEN" \
  -H "LendEasy-Tenant: $TENANT"

await fetch(`https://sandbox.api.lendeasy.ai/v1/servicing/reports/ai-quality`, {
  method: "GET",
  headers: { Authorization: `Bearer ${token}`, "LendEasy-Tenant": tenant },
});

requests.get(
  f"https://sandbox.api.lendeasy.ai/v1/servicing/reports/ai-quality",
  headers={"Authorization": f"Bearer {token}", "LendEasy-Tenant": tenant},
)

{
  "asOf": "2026-07-25T18: 30:00Z",
  "effectiveQuery": {
    "limit": 50,
    "offset": 0
  },
  "rows": [
    {
      "aiSessionId": 9501,
      "workerCode": "COLLECTIONS_ASSISTANT",
      "adapterCode": "STUB_AI_V1",
      "contractVersion": "1.0",
      "objective": "SUMMARIZE_CASE",
      "autonomyLevel": "A2",
      "runtimeVersion": "runtime-2026.07",
      "policyVersion": "policy-12",
      "workPacketVersion": "packet-v1",
      "sessionStatus": "COMPLETED",
      "startedAt": "2026-07-25T18: 20:00Z",
      "caseId": 1001,
      "outputId": 9001,
      "outputType": "CASE_SUMMARY",
      "outputStatus": "REVIEWED",
      "confidence": 0.92,
      "groundingStatus": "GROUNDED",
      "reviewerWorkerId": 4101,
      "reviewerWorkerCode": "MARIA_AGENT",
      "reviewedAt": "2026-07-25T18: 35:00Z"
    }
  ],
  "returnedCount": 1,
  "hasMore": false
}

{
  "developerMessage": "Request was understood but rejected; inspect errors for field-level causes.",
  "httpStatusCode": "400",
  "defaultUserMessage": "The request could not be applied.",
  "userMessageGlobalisationCode": "validation.msg.validation.errors.exist",
  "errors": []
}

{
  "developerMessage": "Request was understood but rejected; inspect errors for field-level causes.",
  "httpStatusCode": "401",
  "defaultUserMessage": "The request could not be applied.",
  "userMessageGlobalisationCode": "error.msg.not.authenticated",
  "errors": []
}

{
  "developerMessage": "Request was understood but rejected; inspect errors for field-level causes.",
  "httpStatusCode": "403",
  "defaultUserMessage": "The request could not be applied.",
  "userMessageGlobalisationCode": "error.msg.not.authorized",
  "errors": []
}

{
  "developerMessage": "Request was understood but rejected; inspect errors for field-level causes.",
  "httpStatusCode": "404",
  "defaultUserMessage": "The request could not be applied.",
  "userMessageGlobalisationCode": "error.msg.resource.not.found",
  "errors": []
}