import requests

url = "https://platform.reducto.ai/extract"

payload = {
    "input": "<string>",
    "parsing": {
        "enhance": {
            "agentic": [],
            "summarize_figures": True
        },
        "retrieval": {
            "chunking": { "chunk_mode": "disabled" },
            "embedding_optimized": False,
            "filter_blocks": []
        },
        "formatting": {
            "add_page_markers": False,
            "include": [],
            "merge_tables": False,
            "table_output_format": "dynamic"
        },
        "spreadsheet": {
            "clustering": "accurate",
            "exclude": [],
            "include": [],
            "split_large_tables": {
                "enabled": True,
                "size": 50
            }
        },
        "settings": {
            "embed_pdf_metadata": False,
            "force_url_result": False,
            "ocr_system": "standard",
            "persist_results": False,
            "return_images": [],
            "return_ocr_data": False,
            "timeout": 900
        }
    },
    "instructions": { "system_prompt": "Be precise and thorough." },
    "settings": {
        "include_images": False,
        "optimize_for_latency": False,
        "array_extract": False,
        "citations": {
            "enabled": True,
            "numerical_confidence": True
        }
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

{
  "job_id": "<string>",
  "usage": {
    "num_pages": 123,
    "num_fields": 123,
    "credits": 123
  },
  "studio_link": "<string>",
  "result": "<any>"
}