Uploads in Mixpeek mean registering objects that reference one or more blobs (files or JSON). Creating an object does not trigger processing; it simply records the object so downstream collections can process it later.

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Overview

  • What you create: An object inside a bucket, composed of one or more blobs.
  • Where files live: Provide blob data as a URL or inline JSON, matching your bucket schema.
  • Processing: Object creation does not start processing; use batches or collection pipelines to process.

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Create a single object

  • API: Create Object
  • Method: POST
  • Path: /v1/buckets/{bucket_identifier}/objects
  • Reference: API Reference
curl -X POST https://api.mixpeek.com/v1/buckets/bkt_123/objects \
  -H "Authorization: Bearer $API_KEY" \
  -H "X-Namespace: ns_123" \
  -H "Content-Type: application/json" \
  -d '{
    "key_prefix": "/products/red-sneaker",
    "metadata": {"category": "shoes", "year": 2024},
    "skip_duplicates": true,
    "blobs": [
      {
        "property": "image_main",
        "type": "image",
        "data": "https://example.com/images/red-sneaker-front.jpg",
        "metadata": {"mimetype": "image/jpeg"}
      },
      {
        "property": "specs",
        "type": "json",
        "data": {"title": "Red Sneaker", "sizes": [7,8,9,10]}
      }
    ]
  }'

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Create multiple objects (batch)

  • API: Create Objects in Batch
  • Method: POST
  • Path: /v1/buckets/{bucket_identifier}/objects/batch
  • Reference: API Reference
curl -X POST https://api.mixpeek.com/v1/buckets/bkt_123/objects/batch \
  -H "Authorization: Bearer $API_KEY" \
  -H "X-Namespace: ns_123" \
  -H "Content-Type: application/json" \
  -d '{
    "objects": [
      {
        "key_prefix": "/products/red-sneaker",
        "metadata": {"category": "shoes"},
        "blobs": [
          {"property": "image_main", "type": "image", "data": "https://example.com/images/red-front.jpg"}
        ]
      },
      {
        "key_prefix": "/products/blue-sneaker",
        "metadata": {"category": "shoes"},
        "blobs": [
          {"property": "image_main", "type": "image", "data": "https://example.com/images/blue-front.jpg"}
        ]
      }
    ]
  }'

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Batching primer

Use batches to organize object processing into an asynchronous job. See the full guide at Batching.

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Tips

  • Match your schema: Blob property and type must match your bucket schema.
  • Use prefixes: key_prefix helps organize downstream documents.
  • Metadata propagates: Object metadata is attached to downstream documents.
  • Deduplication: Set skip_duplicates to avoid re-registering identical blobs.

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See also

Buckets

Design schemas and organize objects

Collections

Configure feature extractors and outputs

Batching

Submit grouped objects for asynchronous processing