import requests

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

payload = {
    "input": "<string>",
    "parsing": {
        "enhance": {
            "agentic": [],
            "intelligent_ordering": False,
            "summarize_figures": True
        },
        "retrieval": {
            "chunking": {
                "chunk_mode": "disabled",
                "chunk_overlap": 0
            },
            "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,
            "embed_pdf_metadata_dpi": 100,
            "extraction_mode": "hybrid",
            "force_url_result": False,
            "hybrid_vpc": {},
            "ocr_system": "standard",
            "persist_results": False,
            "return_images": [],
            "return_ocr_data": False
        }
    },
    "instructions": {
        "schema": {},
        "system_prompt": "Be precise and thorough."
    },
    "settings": {
        "include_images": False,
        "optimize_for_latency": False,
        "force_url_result": False,
        "array_extract": False,
        "deep_extract": False,
        "citations": {
            "enabled": False,
            "numerical_confidence": True,
            "parent_block": "full"
        }
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    input: '<string>',
    parsing: {
      enhance: {agentic: [], intelligent_ordering: false, summarize_figures: true},
      retrieval: {
        chunking: {chunk_mode: 'disabled', chunk_overlap: 0},
        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,
        embed_pdf_metadata_dpi: 100,
        extraction_mode: 'hybrid',
        force_url_result: false,
        hybrid_vpc: {},
        ocr_system: 'standard',
        persist_results: false,
        return_images: [],
        return_ocr_data: false
      }
    },
    instructions: {schema: {}, system_prompt: 'Be precise and thorough.'},
    settings: {
      include_images: false,
      optimize_for_latency: false,
      force_url_result: false,
      array_extract: false,
      deep_extract: false,
      citations: {enabled: false, numerical_confidence: true, parent_block: 'full'}
    }
  })
};

fetch('https://platform.reducto.ai/extract', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

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

	payload := strings.NewReader("{\n  \"input\": \"<string>\",\n  \"parsing\": {\n    \"enhance\": {\n      \"agentic\": [],\n      \"intelligent_ordering\": false,\n      \"summarize_figures\": true\n    },\n    \"retrieval\": {\n      \"chunking\": {\n        \"chunk_mode\": \"disabled\",\n        \"chunk_overlap\": 0\n      },\n      \"embedding_optimized\": false,\n      \"filter_blocks\": []\n    },\n    \"formatting\": {\n      \"add_page_markers\": false,\n      \"include\": [],\n      \"merge_tables\": false,\n      \"table_output_format\": \"dynamic\"\n    },\n    \"spreadsheet\": {\n      \"clustering\": \"accurate\",\n      \"exclude\": [],\n      \"include\": [],\n      \"split_large_tables\": {\n        \"enabled\": true,\n        \"size\": 50\n      }\n    },\n    \"settings\": {\n      \"embed_pdf_metadata\": false,\n      \"embed_pdf_metadata_dpi\": 100,\n      \"extraction_mode\": \"hybrid\",\n      \"force_url_result\": false,\n      \"hybrid_vpc\": {},\n      \"ocr_system\": \"standard\",\n      \"persist_results\": false,\n      \"return_images\": [],\n      \"return_ocr_data\": false\n    }\n  },\n  \"instructions\": {\n    \"schema\": {},\n    \"system_prompt\": \"Be precise and thorough.\"\n  },\n  \"settings\": {\n    \"include_images\": false,\n    \"optimize_for_latency\": false,\n    \"force_url_result\": false,\n    \"array_extract\": false,\n    \"deep_extract\": false,\n    \"citations\": {\n      \"enabled\": false,\n      \"numerical_confidence\": true,\n      \"parent_block\": \"full\"\n    }\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

{
  "usage": {
    "num_pages": 123,
    "num_fields": 123,
    "credits": 123
  },
  "result": "<unknown>",
  "response_type": "v3_extract",
  "job_id": "<string>",
  "studio_link": "<string>",
  "confidence_reason": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}