Coactive · Schema
DatasetResponse
CompanyArtificial IntelligenceMultimodal AIComputer VisionVideo IntelligenceImage SearchContent IntelligenceSemantic SearchContextual AdvertisingMetadataMachine LearningMedia
Properties
| Name | Type | Description |
|---|---|---|
| created_dt | string | The created datetime of the resource in ISO 8601 format. |
| updated_dt | stringnull | The datetime the resource was last updated in ISO 8601 format. |
| created_by | string | ID of the user who added the asset to the dataset. |
| updated_by | stringnull | ID of the user who last updated the asset. |
| deleted_dt | stringnull | Timestamp if the resource was deleted. |
| deleted_by | stringnull | ID of the user who deleted the resource. |
| id | string | The unique identifier for the dataset. |
| name | string | Name of the dataset, must be unique per organization and must only contain alphanumeric and underscore characters. |
| embeddings | array | The encoders of the dataset. |
| encoders | array | The encoders of the dataset. |
| description | stringnull | A short summary of what the dataset includes or is intended for. |
| allowed_asset_types | array | Types of assets allowed in this dataset. |
| status | object | The status of the dataset. |
| keyframe_sampling_method | object | Sampling method to extract keyframes from videos in dataset. |
| keyframe_uniform_fps_sampling_rate | numbernull | FPS rate used for uniform sampling. |
| store_original | boolean | Whether the original file is stored. |
| store_preview | boolean | Whether preview files are stored. |
| metadata_fields_to_index | arraynull | The metadata fields to index for the dataset. |
| metadata_fields_to_embed | arraynull | The metadata fields to embed for the dataset. |
| dataset_config | object |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/coactive/main/json-schema/coactive-datasets-dataset-response-schema.json",
"title": "DatasetResponse",
"x-generated": "2026-10-20",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/coactive-datasets-dataset-api-openapi.yml#/components/schemas/datasets_DatasetResponse",
"type": "object",
"properties": {
"created_dt": {
"type": "string",
"format": "date-time",
"description": "The created datetime of the resource in ISO 8601 format."
},
"updated_dt": {
"type": [
"string",
"null"
],
"format": "date-time",
"description": "The datetime the resource was last updated in ISO 8601 format."
},
"created_by": {
"type": "string",
"description": "ID of the user who added the asset to the dataset."
},
"updated_by": {
"type": [
"string",
"null"
],
"description": "ID of the user who last updated the asset."
},
"deleted_dt": {
"type": [
"string",
"null"
],
"format": "date-time",
"description": "Timestamp if the resource was deleted."
},
"deleted_by": {
"type": [
"string",
"null"
],
"description": "ID of the user who deleted the resource."
},
"id": {
"type": "string",
"format": "uuid",
"description": "The unique identifier for the dataset."
},
"name": {
"type": "string",
"description": "Name of the dataset, must be unique per organization and must only contain alphanumeric and underscore characters."
},
"embeddings": {
"type": "array",
"items": {
"$ref": "#/$defs/datasets_Encoder"
},
"description": "The encoders of the dataset."
},
"encoders": {
"type": "array",
"items": {
"$ref": "#/$defs/datasets_Encoder"
},
"description": "The encoders of the dataset."
},
"description": {
"type": [
"string",
"null"
],
"description": "A short summary of what the dataset includes or is intended for."
},
"allowed_asset_types": {
"type": "array",
"items": {
"$ref": "#/$defs/datasets_AssetTypeEnum"
},
"description": "Types of assets allowed in this dataset."
},
"status": {
"oneOf": [
{
"$ref": "#/$defs/datasets_DatasetStatusEnum"
},
{
"type": "null"
}
],
"description": "The status of the dataset."
},
"keyframe_sampling_method": {
"$ref": "#/$defs/datasets_KeyframeSamplingMethodEnum",
"description": "Sampling method to extract keyframes from videos in dataset."
},
"keyframe_uniform_fps_sampling_rate": {
"type": [
"number",
"null"
],
"format": "double",
"description": "FPS rate used for uniform sampling."
},
"store_original": {
"type": "boolean",
"description": "Whether the original file is stored."
},
"store_preview": {
"type": "boolean",
"description": "Whether preview files are stored."
},
"metadata_fields_to_index": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
},
"description": "The metadata fields to index for the dataset."
},
"metadata_fields_to_embed": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
},
"description": "The metadata fields to embed for the dataset."
},
"dataset_config": {
"oneOf": [
{
"$ref": "#/$defs/datasets_DatasetConfig"
},
{
"type": "null"
}
]
}
},
"required": [
"created_dt",
"created_by",
"id",
"name",
"embeddings",
"encoders",
"description",
"allowed_asset_types",
"status",
"keyframe_sampling_method",
"store_original",
"store_preview"
],
"$defs": {
"datasets_AssetTypeEnum": {
"type": "string",
"enum": [
"image",
"video"
],
"description": "Indicates the type of asset",
"title": "AssetTypeEnum"
},
"datasets_CompositeSettings": {
"type": "object",
"properties": {
"maximum_slice_duration_seconds": {
"type": "integer",
"description": "Maximum duration in seconds for a single composite slice."
}
},
"required": [
"maximum_slice_duration_seconds"
],
"title": "CompositeSettings"
},
"datasets_DatasetConfig": {
"type": "object",
"properties": {
"embedding_id": {
"type": "object",
"additionalProperties": {
"type": "string",
"format": "uuid"
},
"description": "Mapping from encoder modality to the UUID of the embedding model used for that modality."
},
"encoder_name": {
"type": "object",
"additionalProperties": {
"type": "string"
},
"description": "Mapping from encoder modality to the name of the encoder model used for that modality."
},
"extra_config": {
"oneOf": [
{
"$ref": "#/$defs/datasets_ExtraConfig"
},
{
"type": "null"
}
],
"description": "Optional extra configuration for composite types."
},
"hybrid_search": {
"oneOf": [
{
"$ref": "#/$defs/datasets_HybridSearchConfig"
},
{
"type": "null"
}
],
"description": "Optional hybrid search configuration specifying modality weights."
},
"context_studio_enabled": {
"type": [
"boolean",
"null"
],
"default": false,
"description": "Whether Context Studio is enabled for this dataset."
},
"metadata_fields_to_embed": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
},
"description": "Metadata fields whose values are embedded."
},
"metadata_fields_to_index": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
},
"description": "Metadata fields that are indexed for filtering and search."
},
"celebrity_detection_enabled": {
"type": [
"boolean",
"null"
],
"default": false,
"description": "Whether celebrity detection is enabled for this dataset."
},
"agentic_search_metadata_description": {
"type": [
"object",
"null"
],
"additionalProperties": {
"type": "string"
},
"description": "Per-key descriptions of metadata fields."
},
"asset_identifier_key": {
"type": [
"string",
"null"
],
"description": "The metadata field name that uniquely identifies each asset in the dataset."
},
"context_studio_export_json_connection_name": {
"type": [
"string",
"null"
],
"description": "The name of the connection required for external s3 export. (this is related to context_studio feature)."
}
},
"required": [
"embedding_id",
"encoder_name"
],
"title": "DatasetConfig"
},
"datasets_DatasetStatusEnum": {
"type": "string",
"enum": [
"active",
"inactive",
"deleting",
"deleted"
],
"description": "Indicates the operational status of a dataset",
"title": "DatasetStatusEnum"
},
"datasets_Encoder": {
"type": "object",
"properties": {
"id": {
"type": "string",
"format": "uuid",
"description": "The unique identifier for the encoder."
},
"name": {
"$ref": "#/$defs/datasets_EncoderName",
"description": "The model used to extract visual and audio features from assets."
},
"modality": {
"type": "string",
"description": "The supported modality of the encoder."
},
"modalities": {
"type": "array",
"items": {
"type": "string"
},
"description": "The supported modalities of the encoder."
}
},
"required": [
"id",
"name",
"modality",
"modalities"
],
"title": "Encoder"
},
"datasets_EncoderName": {
"oneOf": [
{
"$ref": "#/$defs/datasets_VisualEncoderNameEnum"
},
{
"type": "string"
}
],
"description": "The model used to extract visual and audio features from assets.",
"title": "EncoderName"
},
"datasets_ExtraConfig": {
"type": "object",
"properties": {
"composite_settings": {
"type": "object",
"additionalProperties": {
"$ref": "#/$defs/datasets_CompositeSettings"
},
"description": "Mapping of composite type name to its settings."
}
},
"required": [
"composite_settings"
],
"title": "ExtraConfig"
},
"datasets_HybridSearchConfig": {
"type": "object",
"properties": {
"weights": {
"type": "object",
"additionalProperties": {
"type": "number",
"format": "double"
},
"description": "Weights for each modality used in hybrid search scoring."
}
},
"required": [
"weights"
],
"title": "HybridSearchConfig"
},
"datasets_KeyframeSamplingMethodEnum": {
"type": "string",
"enum": [
"intelligent",
"uniform"
],
"description": "Indicates the method used to sample keyframes from a video",
"title": "KeyframeSamplingMethodEnum"
},
"datasets_VisualEncoderNameEnum": {
"type": "string",
"enum": [
"multimodal",
"multimodal-tx-large2",
"multimodal-tx-large3",
"multimodal-tx-large4",
"nova2-multimodal",
"resnet-50",
"resnet-50-reduced"
],
"title": "VisualEncoderNameEnum"
}
}
}
Work with this as data
Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for schemas
4 MCP tools reach this
find_json_schemasBrowse and filter every JSON Schema in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/coactive-datasets-dataset-response"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.
A second provider on the same verified email joins the account you already have.