Views

Get Export Data
Get Metrics From Latest View
Get Metric Latest

POST /api/v1/metrics/views/exportGet Export DataResponse

boolean

Whether the request completed successfully

string

Human-readable result message

string

ISO 8601 server timestamp

string

Unique ID for this request

object

The endpoint’s response payload.

Example

curl -X POST "https://<your-workspace>.prizmdata.ai/api/v1/metrics/views/export" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{}'

Response

{
  "success": true,
  "message": "Get Export Data",
  "timestamp": "2026-09-21T09:43:50.316067+00:00",
  "correlation_id": "1bff0823-3db2-4b12-bf56-22ea8d38bba2",
  "data": {}
}

POST /api/v1/metrics/views/metric-latestGet metrics from metric list with filters and pagination.Response

boolean

Whether the request completed successfully

string

Human-readable result message

string

ISO 8601 server timestamp

string

Unique ID for this request

object

object[]

string

Example: "cea69567-190d-47b7-b507-c58126775b6e".

string

Example: "term_governance".

string

Example: "term_governance".

string

Example: "text".

string

Example: "Attribute".

object[]

string

Example: " SELECT COUNT(*) FROM \"dqlabs\".\"dbo\".\"ACTIONFIGURE\" WHERE \"TOY_ID\" IS NULL".

integer

Example: 100.

integer

Example: 0.

object[]

integer

Example: 0.

string

Example: "PENDING".

string

Example: "Semantic".

string

object

object[]

string

Example: "d59eb4a6-58ca-4cb9-8e4d-e40e09e3ce06".

string

Example: "dqlabs".

string

Example: "DATABASE".

object[]

string

Example: "cea69567-190d-47b7-b507-c58126775b6e".

string

Example: "dfbbb658-42e0-44be-9613-1e9cfeb39b4e".

string

Example: "Query".

string

Example: "Consistency".

boolean

Example: true.

boolean

Example: false.

string

Example: "34185116-fbca-4ad6-883e-b8bfbb807a54".

string

integer

Example: 100.

string

Example: "0f68b6c5-c9d9-49ee-900f-f212b1324d8b".

object

number

Example: 0.0.

number

Example: 0.0.

integer

Example: 100.

string

Example: "TOY_ID".

string

Example: "ATTRIBUTE".

string

Example: "2026-09-20T19:07:22.142959+00:00".

string

Example: "87efd845-c1f5-4c65-8a2a-1ecc91736c30".

boolean

Example: false.

string

Example: "COMPLETED".

object

string

Example:

"This metric measures the consistency of semantic terms within the query context, ensuring that glossary terms are used accurately and uniformly. It is applied at the term level within a semantic glossary asset, focusing on the consistency dimension. The metric is evaluated periodically using aggregation logic relevant to semantic consistency checks, although specific frequency details are not provided. Maintaining semantic consistency is crucial for data trust as it ensures clear and unambiguous communication of data definitions, supporting reliable data interpretation and decision-making."

boolean

Example: true.

object[]

string

boolean

Example: true.

boolean

Example: false.

string

Example: "METRIC2".

string

Example: "custom".

string

Example: "2026-09-20T19:11:02.563761+00:00".

string

Example: "87efd845-c1f5-4c65-8a2a-1ecc91736c30".

object[]

string

Example: "41f2655f-8b4f-4979-8a8b-80bfa88d8574".

string

Example: "2026-09-20 19:10:48.285349+00".

string

Example: "OK".

string

Example: "mssql_regression".

string

Example: "MSSQL".

string

Example: "Glossary".

integer

Example: 20.

boolean

Example: false.

boolean

Example: false.

string

integer

Example: 0.

string

Example: "41f2655f-8b4f-4979-8a8b-80bfa88d8574".

object

integer

Example: 634067.

integer

Example: 634067.

boolean

Example: true.

string

Example: "\"dqlabs\".\"dbo\".\"ACTIONFIGURE\".\"TOY_ID\"".

string

Example: "3a33afad-d5db-4334-b18e-acf020755907".

string

integer

Example: 0.

boolean

Example: false.

string

Example: "f053504c-1608-4684-9d80-5052718daab5".

boolean

Example: true.

string

Example: "0b8b4378-e006-48f7-a1a5-e280603321b2".

integer

Example: 100.

string

Example: "d59eb4a6-58ca-4cb9-8e4d-e40e09e3ce06".

string

integer

Example: 0.

string

Example: "custom".

string

boolean

Example: false.

boolean

Example: false.

boolean

Example: true.

string

Example: "2026-09-20T19:10:48.285349+00:00".

string

object

string[]

string

Example: "auto".

object[]

boolean

Example: false.

integer

Example: 65761.

object[]

string

Example: "Availability".

string

Example: "Availability".

integer

Example: 32641.

Example

curl -X POST "https://<your-workspace>.prizmdata.ai/api/v1/metrics/views/metric-latest" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{}'

Response

{
  "success": true,
  "message": "Get metrics from metric list with filters and pagination.",
  "timestamp": "2026-09-21T09:43:50.316067+00:00",
  "correlation_id": "1bff0823-3db2-4b12-bf56-22ea8d38bba2",
  "data": {
    "data": [
      {
        "tag": [],
        "term": [
          {
            "id": "cea69567-190d-47b7-b507-c58126775b6e",
            "name": "term_governance",
            "label": "term_governance",
            "datatype": "text"
          }
        ],
        "level": "Attribute",
        "owner": [],
        "query": " SELECT COUNT(*) FROM \"dqlabs\".\"dbo\".\"ACTIONFIGURE\" WHERE \"TOY_ID\" IS NULL",
        "score": 100,
        "alerts": 0,
        "domain": [],
        "issues": 0,
        "status": "PENDING",
        "context": "Semantic",
        "is_pass": null,
        "metrics": {},
        "parents": [
          {
            "id": "d59eb4a6-58ca-4cb9-8e4d-e40e09e3ce06",
            "name": "dqlabs",
            "type": "DATABASE"
          }
        ],
        "product": [],
        "purpose": null,
        "term_id": "cea69567-190d-47b7-b507-c58126775b6e",
        "asset_id": "dfbbb658-42e0-44be-9613-1e9cfeb39b4e",
        "category": "Query",
        "dimension": "Consistency",
        "is_active": true,
        "is_delete": false,
        "metric_id": "34185116-fbca-4ad6-883e-b8bfbb807a54",
        "rationale": null,
        "row_limit": 100,
        "source_id": "0f68b6c5-c9d9-49ee-900f-f212b1324d8b",
        "threshold": {
          "lower_threshold": 0.0,
          "upper_threshold": 0.0
        },
        "weightage": 100,
        "asset_name": "TOY_ID",
        "asset_type": "ATTRIBUTE",
        "created_at": "2026-09-20T19:07:22.142959+00:00",
        "created_by": "87efd845-c1f5-4c65-8a2a-1ecc91736c30",
        "is_default": false,
        "properties": null,
        "run_status": "COMPLETED",
        "ai_insights": {
          "summary": "This metric measures the consistency of semantic terms within the query context, ensuring that glossary terms are used accurately and uniformly. It is applied at the term level within a semantic glossary asset, focusing on the consistency dimension. The metric is evaluated periodically using aggregation logic relevant to semantic consistency checks, although specific frequency details are not provided. Maintaining semantic consistency is crucial for data trust as it ensures clear and unambiguous communication of data definitions, supporting reliable data interpretation and decision-making."
        },
        "allow_score": true,
        "application": [],
        "description": null,
        "is_approved": true,
        "is_positive": false,
        "metric_name": "METRIC2",
        "metric_type": "custom",
        "modified_at": "2026-09-20T19:11:02.563761+00:00",
        "modified_by": "87efd845-c1f5-4c65-8a2a-1ecc91736c30",
        "recent_runs": [
          {
            "range": null,
            "run_id": "41f2655f-8b4f-4979-8a8b-80bfa88d8574",
            "marked_as": null,
            "collected_at": "2026-09-20 19:10:48.285349+00",
            "alert_priority": "OK"
          }
        ],
        "source_name": "mssql_regression",
        "source_type": "MSSQL",
        "subcategory": "Glossary",
        "column_limit": 20,
        "is_aggregate": false,
        "is_validated": false,
        "job_asset_id": null,
        "metric_value": 0,
        "error_message": null,
        "latest_run_id": "41f2655f-8b4f-4979-8a8b-80bfa88d8574",
        "pass_criteria": {},
        "total_records": 634067,
        "valid_records": 634067,
        "auto_threshold": true,
        "qualified_name": "\"dqlabs\".\"dbo\".\"ACTIONFIGURE\".\"TOY_ID\"",
        "table_asset_id": "3a33afad-d5db-4334-b18e-acf020755907",
        "disable_scoring": null,
        "invalid_records": 0,
        "is_ai_generated": false,
        "schema_asset_id": "f053504c-1608-4684-9d80-5052718daab5",
        "is_drift_enabled": true,
        "metric_detail_id": "0b8b4378-e006-48f7-a1a5-e280603321b2",
        "valid_percentage": 100,
        "database_asset_id": "d59eb4a6-58ca-4cb9-8e4d-e40e09e3ce06",
        "failed_rows_query": null,
        "pipeline_asset_id": null,
        "invalid_percentage": 0,
        "metric_detail_type": "custom",
        "metric_template_id": null,
        "enabled_export_rows": false,
        "enabled_failed_rows": false,
        "is_metric_validated": true,
        "metric_collected_at": "2026-09-20T19:10:48.285349+00:00",
        "total_records_query": null,
        "metric_template_name": null,
        "threshold_constraint": {
          "auto": [],
          "mode": "auto",
          "custom": [],
          "manual": []
        },
        "enabled_total_records": false
      }
    ],
    "total_count": 65761,
    "metrics": [
      {
        "type": "Availability",
        "title": "Availability",
        "value": 32641
      }
    ]
  }
}

GET /api/v1/metrics/views/{metricDetailId}Get metric latest by metric_detail_idPath Parameters

string

required

Example: 3fa85f64-5717-4562-b3fc-2c963f66afa6

Response

boolean

Whether the request completed successfully

string

Human-readable result message

string

ISO 8601 server timestamp

string

Unique ID for this request

object

The endpoint’s response payload.

Example

curl -X GET "https://<your-workspace>.prizmdata.ai/api/v1/metrics/views/{metricDetailId}" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>"

Response

{
  "success": true,
  "message": "Get metric latest by metric_detail_id",
  "timestamp": "2026-09-21T09:43:50.316067+00:00",
  "correlation_id": "1bff0823-3db2-4b12-bf56-22ea8d38bba2",
  "data": {}
}

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