Coactive · Schema

MetadataSearchRequest

Body for POST /search/metadata.

CompanyArtificial IntelligenceMultimodal AIComputer VisionVideo IntelligenceImage SearchContent IntelligenceSemantic SearchContextual AdvertisingMetadataMachine LearningMedia

Properties

Name Type Description
limit integer Max number of results to return
offset integer Number of results to skip before returning
metadata_filters array List of filter objects applied against asset metadata fields before scoring. All filters are combined with AND.
skip_moderation boolean When true, moderation scoring is skipped and moderation_score will be null on all results.
dataset_id string Dataset to search within
text_query string Natural language query encoded into an embedding to score visual content via vector similarity.
View JSON Schema on GitHub

JSON Schema

coactive-search-metadata-filter-metadata-search-request-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/coactive/main/json-schema/coactive-search-metadata-filter-metadata-search-request-schema.json",
  "title": "MetadataSearchRequest",
  "description": "Body for POST /search/metadata.",
  "x-generated": "2026-10-20",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/coactive-search-metadata-filter-api-openapi.yml#/components/schemas/search-metadata-filter_MetadataSearchRequest",
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "default": 40,
      "description": "Max number of results to return"
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "description": "Number of results to skip before returning"
    },
    "metadata_filters": {
      "type": "array",
      "items": {
        "$ref": "#/$defs/search-metadata-filter_MetadataFilter"
      },
      "description": "List of filter objects applied against asset metadata fields before scoring. All filters are combined with AND."
    },
    "skip_moderation": {
      "type": "boolean",
      "default": false,
      "description": "When true, moderation scoring is skipped and moderation_score will be null on all results."
    },
    "dataset_id": {
      "type": "string",
      "format": "uuid",
      "description": "Dataset to search within"
    },
    "text_query": {
      "type": "string",
      "description": "Natural language query encoded into an embedding to score visual content via vector similarity."
    }
  },
  "required": [
    "dataset_id",
    "text_query"
  ],
  "$defs": {
    "search-metadata-filter_MetadataFilter": {
      "type": "object",
      "properties": {
        "key": {
          "type": "string",
          "description": "Name of the metadata field to filter on (must exist on the dataset's assets)."
        },
        "value": {
          "type": "string",
          "description": "Value to compare the metadata field against. Always provided as a string; numerical operators (>, <, >=, <=) parse it as a number."
        },
        "op": {
          "$ref": "#/$defs/search-metadata-filter_MetadataFilterOperator",
          "description": "Comparison operator. Defaults to `=` (equality)."
        }
      },
      "required": [
        "key",
        "value"
      ],
      "description": "A single filter applied against an asset metadata field before scoring.",
      "title": "MetadataFilter"
    },
    "search-metadata-filter_MetadataFilterOperator": {
      "type": "string",
      "enum": [
        "=",
        "!=",
        "contains",
        ">",
        "<",
        ">=",
        "<="
      ],
      "description": "Comparison operator applied between a metadata field value and the filter `value`.",
      "title": "MetadataFilterOperator"
    }
  }
}

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