Reducto

Reducto document processing API integration with managed API key authentication. Parse, extract, split, and edit documents. Use this skill when users want to process documents, extract structured data, or modify PDFs and DOCX files. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).

Access the Reducto document processing API with managed API key authentication. Parse documents, extract structured data, split documents into sections, and edit PDFs/DOCX files.

Quick Start

bash

# Parse a document
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'document_url': 'https://example.com/document.pdf'}).encode()
req = urllib.request.Request('https://api.maton.ai/reducto/parse', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Base URL

text

https://api.maton.ai/reducto/{native-api-path}

Maton proxies requests to platform.reducto.ai and automatically injects your API key.

Authentication

All requests require the Maton API key in the Authorization header:

text

Authorization: Bearer $MATON_API_KEY

Environment Variable: Set your API key as MATON_API_KEY:

bash

export MATON_API_KEY="YOUR_API_KEY"

Getting Your API Key

1. Sign in or create an account at maton.ai
2. Go to maton.ai/settings
3. Copy your API key

Connection Management

Manage your Reducto API key connections at https://api.maton.ai.

List Connections

bash

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections?app=reducto&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Create Connection

bash

python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'reducto'}).encode()
req = urllib.request.Request('https://api.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Get Connection

bash

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Response:

json

{
  "connection": {
    "connection_id": "{connection_id}",
    "status": "ACTIVE",
    "creation_time": "2026-02-28T00:12:24.797884Z",
    "last_updated_time": "2026-02-28T00:16:13.509841Z",
    "url": "https://connect.maton.ai/?session_token=...",
    "app": "reducto",
    "metadata": {},
    "method": "API_KEY"
  }
}

Open the returned url in a browser to enter your Reducto API key.

Delete Connection

bash

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}', method='DELETE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Specifying Connection

If you have multiple Reducto connections, specify which one to use with the Maton-Connection header:

bash

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/reducto/parse')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Maton-Connection', '{connection_id}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

If you have multiple connections, always include this header to ensure requests go to the intended account.

Security & Permissions

• Access is scoped to document parsing, extraction, and structured data output within the connected Reducto account.
• All write operations require explicit user approval. Before executing any create, update, or delete call, confirm the target resource and intended effect with the user.

API Reference

Parse Document

Parse a document and extract structured content (text, tables, figures).

Synchronous Parse

bash

POST /reducto/parse
Content-Type: application/json

{
  "document_url": "https://example.com/document.pdf"
}

Response:

json

{
  "job_id": "04b8aa38-7eb3-4151-98b0-dbaea71358d9",
  "duration": 17.85,
  "pdf_url": "https://...",
  "studio_link": "https://studio.reducto.ai/job/...",
  "usage": {
    "num_pages": 15,
    "credits": 15.0
  },
  "result": {
    "chunks": [
      {
        "content": "Extracted text content...",
        "blocks": [...]
      }
    ]
  }
}

Asynchronous Parse

For long documents, use async to avoid timeouts:

bash

POST /reducto/parse_async
Content-Type: application/json

{
  "document_url": "https://example.com/document.pdf"
}

Response:

json

{
  "job_id": "e234ba95-410a-4dd0-8a14-743dbfc49470"
}

Poll the job status with GET /reducto/job/{job_id}.

---

Extract Data

Extract specific fields from documents using a JSON schema.

Synchronous Extract

bash

POST /reducto/extract
Content-Type: application/json

{
  "document_url": "https://example.com/document.pdf",
  "schema": {
    "type": "object",
    "properties": {
      "title": {"type": "string", "description": "The document title"},
      "authors": {"type": "array", "items": {"type": "string"}, "description": "List of author names"}
    }
  }
}

Response:

json

{
  "job_id": "36f01a34-7ef6-40da-9e74-7c14902b6182",
  "usage": {
    "num_pages": 15,
    "num_fields": 9,
    "credits": 45.0
  },
  "studio_link": "https://studio.reducto.ai/job/...",
  "result": [
    {
      "title": "Document Title",
      "authors": ["Author One", "Author Two"]
    }
  ]
}

Asynchronous Extract

bash

POST /reducto/extract_async
Content-Type: application/json

{
  "document_url": "https://example.com/document.pdf",
  "schema": {
    "type": "object",
    "properties": {
      "title": {"type": "string"}
    }
  }
}

Response:

json

{
  "job_id": "0cdb6a50-df92-438b-875b-8b5c72d5b089"
}

---

Split Document

Divide documents into logical sections based on content categories.

Synchronous Split

bash

POST /reducto/split
Content-Type: application/json

{
  "document_url": "https://example.com/document.pdf",
  "split_description": [
    {"name": "abstract", "description": "The abstract section"},
    {"name": "introduction", "description": "The introduction section"},
    {"name": "conclusion", "description": "The conclusion section"}
  ]
}

Response:

json

{
  "usage": {
    "num_pages": 15,
    "credits": 15.0
  },
  "result": {
    "section_mapping": {
      "abstract": [1],
      "introduction": [1, 2],
      "conclusion": [14, 15]
    },
    "splits": [
      {
        "name": "abstract",
        "pages": [1],
        "conf": "high"
      }
    ]
  }
}

Asynchronous Split

bash

POST /reducto/split_async
Content-Type: application/json

{
  "document_url": "https://example.com/document.pdf",
  "split_description": [
    {"name": "abstract", "description": "The abstract section"}
  ]
}

Response:

json

{
  "job_id": "381de5fe-e162-4039-9ef9-8522fb34056b"
}

---

Edit Document

Fill forms and modify PDF/DOCX documents with natural language instructions.

Synchronous Edit

bash

POST /reducto/edit
Content-Type: application/json

{
  "document_url": "https://example.com/form.pdf",
  "edit_instructions": "Fill in the name field with 'John Doe' and check the consent box"
}

Response:

json

{
  "document_url": "https://presigned-url.s3.amazonaws.com/...",
  "form_schema": [...],
  "usage": {
    "num_pages": 2,
    "credits": 2.0
  }
}

Asynchronous Edit

bash

POST /reducto/edit_async
Content-Type: application/json

{
  "document_url": "https://example.com/form.pdf",
  "edit_instructions": "Highlight all mentions of 'important' in red"
}

Response:

json

{
  "job_id": "575189cb-8732-429a-ba8a-06de8ee03208"
}

---

Upload File

Upload a document to Reducto and get a presigned URL for processing.

bash

POST /reducto/upload
Content-Type: application/json

{}

Response:

json

{
  "file_id": "reducto://18d574c7-4144-4f50-b7af-b8aba83ada5d",
  "presigned_url": "https://prod-storage.s3.amazonaws.com/...?AWSAccessKeyId=...&Signature=...&Expires=..."
}

Upload your file to the presigned_url using a PUT request, then use the file_id as document_url in parse/extract/split/edit requests.

---

Pipeline

Execute pre-configured processing pipelines.

bash

POST /reducto/pipeline
Content-Type: application/json

{
  "input": "https://example.com/document.pdf",
  "pipeline_id": "your-pipeline-id"
}

Note: pipeline_id must be a valid pipeline ID configured in your Reducto account via the Reducto Studio.

Response:

json

{
  "job_id": "...",
  "usage": {
    "num_pages": 15,
    "credits": 15.0
  },
  "result": {
    "parse": {...},
    "extract": {...},
    "split": {...},
    "edit": {...}
  }
}

---

Jobs

List Jobs

bash

GET /reducto/jobs

Response:

json

{
  "jobs": [
    {
      "job_id": "8c25561f-247a-4843-b561-1eb94c3792d1",
      "status": "Completed",
      "type": "Parse",
      "created_at": "2026-02-27T23:11:39.787917",
      "num_pages": 15,
      "duration": 6.62
    }
  ],
  "next_cursor": null
}

Get Job Status

bash

GET /reducto/job/{job_id}

Response (Pending):

json

{
  "status": "Pending",
  "result": null,
  "progress": 0.5,
  "reason": null
}

Response (Completed):

json

{
  "status": "Completed",
  "result": {
    "job_id": "...",
    "duration": 17.85,
    "usage": {...},
    "result": {...}
  },
  "progress": null,
  "reason": null
}

Job status values: Pending, InProgress, Completed, Failed

---

Version

bash

GET /reducto/version

Response:

json

"VERSION_GOES_HERE"

---

Document URL Formats

The document_url parameter accepts several formats:

1. Public URL: https://example.com/document.pdf
2. Presigned S3 URL: https://bucket.s3.amazonaws.com/key?...
3. Reducto Upload: reducto://file-id (from /upload endpoint)
4. Previous Job: jobid://job-id (reuse parsed content from previous job)

Code Examples

JavaScript

javascript

// Parse a document
const response = await fetch(
  'https://api.maton.ai/reducto/parse',
  {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${process.env.MATON_API_KEY}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      document_url: 'https://example.com/document.pdf'
    })
  }
);
const data = await response.json();
console.log(data.result.chunks);

Python

python

import os
import requests

# Extract data from a document
response = requests.post(
    'https://api.maton.ai/reducto/extract',
    headers={
        'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}',
        'Content-Type': 'application/json'
    },
    json={
        'document_url': 'https://example.com/document.pdf',
        'schema': {
            'type': 'object',
            'properties': {
                'title': {'type': 'string'},
                'date': {'type': 'string'}
            }
        }
    }
)
result = response.json()
print(result['result'])

Async Job Polling

python

import os
import time
import requests

# Start async parse
response = requests.post(
    'https://api.maton.ai/reducto/parse_async',
    headers={
        'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}',
        'Content-Type': 'application/json'
    },
    json={'document_url': 'https://example.com/large-document.pdf'}
)
job_id = response.json()['job_id']

# Poll for completion
while True:
    status = requests.get(
        f'https://api.maton.ai/reducto/job/{job_id}',
        headers={'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}'}
    ).json()

    print(f"Status: {status['status']}, Progress: {status.get('progress')}")

    if status['status'] == 'Completed':
        print(status['result'])
        break
    elif status['status'] == 'Failed':
        print(f"Failed: {status['reason']}")
        break

    time.sleep(2)

Notes

• Synchronous endpoints may timeout for large documents; use async endpoints instead
• Upload presigned URLs expire quickly; upload files immediately after calling /upload
• The reducto:// prefix URLs from /upload can be used in subsequent parse/extract/split/edit calls
• Use jobid:// prefix to reuse parsed content from a previous job (saves processing time)
• Connection uses API_KEY authentication method (not OAuth)
• Credits are consumed based on page count and operation type

Error Handling

Status	Meaning
400	Invalid request (missing required fields, invalid format)
401	Invalid or missing Maton API key
404	Resource not found
422	Validation error (check response body for details)
4xx/5xx	Passthrough error from Reducto API

Troubleshooting: API Key Issues

1. Check that the MATON_API_KEY environment variable is set:

bash

echo $MATON_API_KEY

2. Verify the API key is valid by listing connections:

bash

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Troubleshooting: Invalid App Name

Ensure your URL path starts with reducto. For example:

• Correct: https://api.maton.ai/reducto/parse
• Incorrect: https://api.maton.ai/parse

Resources

• Reducto Documentation
• Reducto API Reference
• Reducto Studio
• Maton Community
• Maton Support