Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Reducto document processing API integration with managed API key authentication. Parse, extract, split, and edit documents. Use this skill when users want to...
Reducto document processing API integration with managed API key authentication. Parse, extract, split, and edit documents. Use this skill when users want to...
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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.
# 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://gateway.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
https://gateway.maton.ai/reducto/{native-api-path} Replace {native-api-path} with the actual Reducto API endpoint path. The gateway proxies requests to platform.reducto.ai and automatically injects your API key.
All requests require the Maton API key in the Authorization header: Authorization: Bearer $MATON_API_KEY Environment Variable: Set your API key as MATON_API_KEY: export MATON_API_KEY="YOUR_API_KEY"
Sign in or create an account at maton.ai Go to maton.ai/settings Copy your API key
Manage your Reducto API key connections at https://ctrl.maton.ai.
python <<'EOF' import urllib.request, os, json req = urllib.request.Request('https://ctrl.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
python <<'EOF' import urllib.request, os, json data = json.dumps({'app': 'reducto'}).encode() req = urllib.request.Request('https://ctrl.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
python <<'EOF' import urllib.request, os, json req = urllib.request.Request('https://ctrl.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: { "connection": { "connection_id": "f7579208-276c-455f-9962-4635fca739b9", "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.
python <<'EOF' import urllib.request, os, json req = urllib.request.Request('https://ctrl.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
If you have multiple Reducto connections, specify which one to use with the Maton-Connection header: python <<'EOF' import urllib.request, os, json req = urllib.request.Request('https://gateway.maton.ai/reducto/parse') req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}') req.add_header('Maton-Connection', 'f7579208-276c-455f-9962-4635fca739b9') print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2)) EOF If omitted, the gateway uses the default (oldest) active connection.
Parse a document and extract structured content (text, tables, figures). Synchronous Parse POST /reducto/parse Content-Type: application/json { "document_url": "https://example.com/document.pdf" } Response: { "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: POST /reducto/parse_async Content-Type: application/json { "document_url": "https://example.com/document.pdf" } Response: { "job_id": "e234ba95-410a-4dd0-8a14-743dbfc49470" } Poll the job status with GET /reducto/job/{job_id}.
Extract specific fields from documents using a JSON schema. Synchronous Extract 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: { "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 POST /reducto/extract_async Content-Type: application/json { "document_url": "https://example.com/document.pdf", "schema": { "type": "object", "properties": { "title": {"type": "string"} } } } Response: { "job_id": "0cdb6a50-df92-438b-875b-8b5c72d5b089" }
Divide documents into logical sections based on content categories. Synchronous Split 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: { "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 POST /reducto/split_async Content-Type: application/json { "document_url": "https://example.com/document.pdf", "split_description": [ {"name": "abstract", "description": "The abstract section"} ] } Response: { "job_id": "381de5fe-e162-4039-9ef9-8522fb34056b" }
Fill forms and modify PDF/DOCX documents with natural language instructions. Synchronous Edit 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: { "document_url": "https://presigned-url.s3.amazonaws.com/...", "form_schema": [...], "usage": { "num_pages": 2, "credits": 2.0 } } Asynchronous Edit 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: { "job_id": "575189cb-8732-429a-ba8a-06de8ee03208" }
Upload a document to Reducto and get a presigned URL for processing. POST /reducto/upload Content-Type: application/json {} Response: { "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.
Execute pre-configured processing pipelines. 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: { "job_id": "...", "usage": { "num_pages": 15, "credits": 15.0 }, "result": { "parse": {...}, "extract": {...}, "split": {...}, "edit": {...} } }
List Jobs GET /reducto/jobs Response: { "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 GET /reducto/job/{job_id} Response (Pending): { "status": "Pending", "result": null, "progress": 0.5, "reason": null } Response (Completed): { "status": "Completed", "result": { "job_id": "...", "duration": 17.85, "usage": {...}, "result": {...} }, "progress": null, "reason": null } Job status values: Pending, InProgress, Completed, Failed
GET /reducto/version Response: "VERSION_GOES_HERE"
The document_url parameter accepts several formats: Public URL: https://example.com/document.pdf Presigned S3 URL: https://bucket.s3.amazonaws.com/key?... Reducto Upload: reducto://file-id (from /upload endpoint) Previous Job: jobid://job-id (reuse parsed content from previous job)
// Parse a document const response = await fetch( 'https://gateway.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);
import os import requests # Extract data from a document response = requests.post( 'https://gateway.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'])
import os import time import requests # Start async parse response = requests.post( 'https://gateway.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://gateway.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)
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
StatusMeaning400Invalid request (missing required fields, invalid format)401Invalid or missing Maton API key404Resource not found422Validation error (check response body for details)4xx/5xxPassthrough error from Reducto API
Check that the MATON_API_KEY environment variable is set: echo $MATON_API_KEY Verify the API key is valid by listing connections: python <<'EOF' import urllib.request, os, json req = urllib.request.Request('https://ctrl.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
Ensure your URL path starts with reducto. For example: Correct: https://gateway.maton.ai/reducto/parse Incorrect: https://gateway.maton.ai/parse
Reducto Documentation Reducto API Reference Reducto Studio Maton Community Maton Support
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