Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.unsiloed.ai/llms.txt

Use this file to discover all available pages before exploring further.

A completed extraction job returns job metadata plus a result object with one entry per top-level field in your schema. The example below is from a real invoice extraction. 
{
  "job_id": "283c77a1-ae1b-4b96-b89e-1c5e63fd89aa",
  "status": "completed",
  "file_name": "invoice.pdf",
  "file_url": "https://platform-unsiloed-ai.s3.amazonaws.com/...",
  "created_at": "2026-05-25T15:38:11.821Z",
  "updated_at": "2026-05-25T15:38:42.196Z",
  "metadata": {
    "page_count": 1,
    "order": ["invoice_number", "vendor_name", "total_amount_due"],
    "schema": { "...": "..." }
  },
  "result": {
    "invoice_number": {
      "value": "NC-2025-00417",
      "score": 0.97
    },
    "vendor_name": {
      "value": "NORTHWIND CONSULTING LLC",
      "score": 0.95
    },
    "total_amount_due": {
      "value": 12586.0,
      "score": 0.97
    }
  }
}

​
Top-Level Fields

  • job_id: unique identifier for the extraction job
  • status: job state (completed, failed, or an in-progress value such as processing)
  • file_name: name of the uploaded file
  • file_url: temporary signed S3 URL to the uploaded file
  • created_at: ISO 8601 timestamp when the job was submitted
  • updated_at: ISO 8601 timestamp of the most recent status update
  • metadata: object containing page_count, the original order of fields in your schema, and an echo of the schema you submitted
  • result: object containing one entry per top-level field in your schema

​
Extracted Field Structure

Each entry in the result object describes one extracted field:
  • value: the extracted data, typed to match your schema (string, number, boolean, object, or array)
  • score: confidence score between 0 and 1, higher is better

​
Array and Nested Object Fields

When your schema includes an array of objects (like line_items in an invoice), each row comes back as a structured object where every property has its own value and score: 
"line_items": {
  "score": 0.99,
  "value": [
    {
      "description": { "value": "Strategic planning workshop facilitation", "score": 0.98 },
      "hours":  { "value": 12,     "score": 0.97 },
      "rate":   { "value": 275.0,  "score": 0.97 },
      "amount": { "value": 3300.0, "score": 0.98 }
    }
  ]
}
The top-level score on the array (0.99 above) reflects whether the parser identified the array structure correctly. Each cell carries its own score, so downstream code can flag individual uncertain values without rejecting the whole row.

​
Error Responses

If the schema fails validation or the job errors during processing, the API returns a JSON body with an error description. See the Extract API reference for the exact error shapes and status codes.