curl --request POST \
--url https://api.mixpeek.com/v1/collections/list \
--header 'Content-Type: application/json' \
--data '
{
"filters": {},
"sort": {
"field": "created_at",
"direction": "desc"
},
"search": "<string>",
"case_sensitive": false
}
'{
"results": [
{
"collection_name": "<string>",
"input_schema": {
"properties": {}
},
"output_schema": {
"properties": {}
},
"feature_extractor": {
"feature_extractor_name": "<string>",
"version": "<string>",
"feature_extractor_id": "<string>",
"params": {},
"parameters": {
"chunk_overlap": 0,
"chunk_size": 1000,
"extractor_type": "text_extractor",
"split_by": "none",
"split_method": "time",
"time_split_interval": 10
},
"input_mappings": {
"image": "product_image",
"text": "title"
},
"field_passthrough": [
{
"source_path": "<string>",
"target_path": "title",
"default": "Unknown",
"required": false
}
],
"include_all_source_fields": false
},
"source": {
"type": "bucket",
"bucket_ids": [
"bkt_marketing_videos"
],
"source_namespace_id": "<string>",
"collection_id": "col_video_frames",
"collection_ids": [
"col_us_products",
"col_eu_products"
],
"inherited_bucket_ids": [
"bkt_marketing_videos"
],
"source_filters": {
"description": "Filter only video content",
"filters": {
"AND": [
{
"field": "blobs.type",
"operator": "eq",
"value": "video"
}
]
}
}
},
"collection_id": "<string>",
"description": "Video frames extracted at 1 FPS with CLIP embeddings",
"source_bucket_schemas": null,
"source_lineage": [
{
"source_config": {
"type": "bucket",
"bucket_ids": [
"bkt_marketing_videos"
],
"source_namespace_id": "<string>",
"collection_id": "col_video_frames",
"collection_ids": [
"col_us_products",
"col_eu_products"
],
"inherited_bucket_ids": [
"bkt_marketing_videos"
],
"source_filters": {
"description": "Filter only video content",
"filters": {
"AND": [
{
"field": "blobs.type",
"operator": "eq",
"value": "video"
}
]
}
}
},
"feature_extractor": {
"feature_extractor_name": "<string>",
"version": "<string>",
"feature_extractor_id": "<string>",
"params": {},
"parameters": {
"chunk_overlap": 0,
"chunk_size": 1000,
"extractor_type": "text_extractor",
"split_by": "none",
"split_method": "time",
"time_split_interval": 10
},
"input_mappings": {
"image": "product_image",
"text": "title"
},
"field_passthrough": [
{
"source_path": "<string>",
"target_path": "title",
"default": "Unknown",
"required": false
}
],
"include_all_source_fields": false
},
"output_schema": {
"properties": {}
}
}
],
"vector_indexes": [
"<unknown>"
],
"payload_indexes": [
"<unknown>"
],
"enabled": true,
"metadata": {
"environment": "production",
"project": "Q4_campaign",
"team": "data-science"
},
"schedule": {
"trigger_type": "<string>",
"schedule_config": {},
"description": "<string>"
},
"trigger_id": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"lifecycle_state": "active",
"s3_vector_index": "<string>",
"last_lifecycle_transition": "2023-11-07T05:31:56Z",
"tiering_rules": [
{
"rule_type": "auto_evict",
"enabled": false,
"threshold_days": 123
}
],
"document_count": 123,
"schema_version": 1,
"last_schema_sync": "2023-11-07T05:31:56Z",
"schema_sync_enabled": true,
"document_schema": null,
"schema_validation": "off",
"taxonomy_applications": null,
"cluster_applications": null,
"alert_applications": null,
"retriever_enrichments": null,
"taxonomy_count": 123,
"retriever_count": 123
}
],
"pagination": {
"total": 123,
"page": 123,
"page_size": 123,
"total_pages": 123,
"next_page": "<string>",
"previous_page": "<string>",
"next_cursor": "<string>"
},
"total_count": 123,
"stats": {
"total_documents": 0,
"avg_documents_per_collection": 0,
"collections_with_taxonomies": 0,
"total_feature_extractors": 0,
"total_taxonomies": 0,
"total_retrievers": 0
}
}This endpoint allows you to list collections.
curl --request POST \
--url https://api.mixpeek.com/v1/collections/list \
--header 'Content-Type: application/json' \
--data '
{
"filters": {},
"sort": {
"field": "created_at",
"direction": "desc"
},
"search": "<string>",
"case_sensitive": false
}
'{
"results": [
{
"collection_name": "<string>",
"input_schema": {
"properties": {}
},
"output_schema": {
"properties": {}
},
"feature_extractor": {
"feature_extractor_name": "<string>",
"version": "<string>",
"feature_extractor_id": "<string>",
"params": {},
"parameters": {
"chunk_overlap": 0,
"chunk_size": 1000,
"extractor_type": "text_extractor",
"split_by": "none",
"split_method": "time",
"time_split_interval": 10
},
"input_mappings": {
"image": "product_image",
"text": "title"
},
"field_passthrough": [
{
"source_path": "<string>",
"target_path": "title",
"default": "Unknown",
"required": false
}
],
"include_all_source_fields": false
},
"source": {
"type": "bucket",
"bucket_ids": [
"bkt_marketing_videos"
],
"source_namespace_id": "<string>",
"collection_id": "col_video_frames",
"collection_ids": [
"col_us_products",
"col_eu_products"
],
"inherited_bucket_ids": [
"bkt_marketing_videos"
],
"source_filters": {
"description": "Filter only video content",
"filters": {
"AND": [
{
"field": "blobs.type",
"operator": "eq",
"value": "video"
}
]
}
}
},
"collection_id": "<string>",
"description": "Video frames extracted at 1 FPS with CLIP embeddings",
"source_bucket_schemas": null,
"source_lineage": [
{
"source_config": {
"type": "bucket",
"bucket_ids": [
"bkt_marketing_videos"
],
"source_namespace_id": "<string>",
"collection_id": "col_video_frames",
"collection_ids": [
"col_us_products",
"col_eu_products"
],
"inherited_bucket_ids": [
"bkt_marketing_videos"
],
"source_filters": {
"description": "Filter only video content",
"filters": {
"AND": [
{
"field": "blobs.type",
"operator": "eq",
"value": "video"
}
]
}
}
},
"feature_extractor": {
"feature_extractor_name": "<string>",
"version": "<string>",
"feature_extractor_id": "<string>",
"params": {},
"parameters": {
"chunk_overlap": 0,
"chunk_size": 1000,
"extractor_type": "text_extractor",
"split_by": "none",
"split_method": "time",
"time_split_interval": 10
},
"input_mappings": {
"image": "product_image",
"text": "title"
},
"field_passthrough": [
{
"source_path": "<string>",
"target_path": "title",
"default": "Unknown",
"required": false
}
],
"include_all_source_fields": false
},
"output_schema": {
"properties": {}
}
}
],
"vector_indexes": [
"<unknown>"
],
"payload_indexes": [
"<unknown>"
],
"enabled": true,
"metadata": {
"environment": "production",
"project": "Q4_campaign",
"team": "data-science"
},
"schedule": {
"trigger_type": "<string>",
"schedule_config": {},
"description": "<string>"
},
"trigger_id": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"lifecycle_state": "active",
"s3_vector_index": "<string>",
"last_lifecycle_transition": "2023-11-07T05:31:56Z",
"tiering_rules": [
{
"rule_type": "auto_evict",
"enabled": false,
"threshold_days": 123
}
],
"document_count": 123,
"schema_version": 1,
"last_schema_sync": "2023-11-07T05:31:56Z",
"schema_sync_enabled": true,
"document_schema": null,
"schema_validation": "off",
"taxonomy_applications": null,
"cluster_applications": null,
"alert_applications": null,
"retriever_enrichments": null,
"taxonomy_count": 123,
"retriever_count": 123
}
],
"pagination": {
"total": 123,
"page": 123,
"page_size": 123,
"total_pages": 123,
"next_page": "<string>",
"previous_page": "<string>",
"next_cursor": "<string>"
},
"total_count": 123,
"stats": {
"total_documents": 0,
"avg_documents_per_collection": 0,
"collections_with_taxonomies": 0,
"total_feature_extractors": 0,
"total_taxonomies": 0,
"total_retrievers": 0
}
}Documentation Index
Fetch the complete documentation index at: https://docs.mixpeek.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
REQUIRED: Bearer token authentication using your API key. Format: 'Bearer sk_xxxxxxxxxxxxx'. You can create API keys in the Mixpeek dashboard under Organization Settings.
"Bearer YOUR_API_KEY"
"Bearer YOUR_STRIPE_API_KEY"
Namespace identifier for scoping this request. All resources (collections, buckets, taxonomies, etc.) are scoped to a namespace. You can provide either the namespace name or namespace ID. Format: ns_xxxxxxxxxxxxx (ID) or a custom name like 'my-namespace'. Falls back to ?namespace= query parameter if the header is omitted.
"ns_abc123def456"
"production"
"my-namespace"
1 <= x <= 10000 <= x <= 10000Request model for listing collections.
To filter by taxonomy, use dot notation in filters: filters.AND = [{"field": "taxonomy_applications.taxonomy_id", "operator": "eq", "value": "tax_123"}]
Filters to apply when listing collections. Supports nested field filtering like 'taxonomy_applications.taxonomy_id'. Format: {"AND": [{"field": "field_name", "operator": "eq", "value": "value"}]}
Sort options for the results
Show child attributes
Search term for wildcard search across collection_id, collection_name, description, and other text fields
If True, filters and search will be case-sensitive
Successful Response
Response model for listing collections.
List of collections
Show child attributes
Pagination information
Show child attributes
Total number of collections matching the query
Aggregate statistics across all collections in the result
Show child attributes
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