import requests

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

payload = {
    "input": "<string>",
    "model": "default",
    "priority": True,
    "force_url_result": False,
    "classification_schema": [],
    "category_groups": {},
    "page_range": {
        "start": 123,
        "end": 123
    },
    "document_metadata": "<string>"
}
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>',
    model: 'default',
    priority: true,
    force_url_result: false,
    classification_schema: [],
    category_groups: {},
    page_range: {start: 123, end: 123},
    document_metadata: '<string>'
  })
};

fetch('https://platform.reducto.ai/classify', 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/classify"

	payload := strings.NewReader("{\n  \"input\": \"<string>\",\n  \"model\": \"default\",\n  \"priority\": true,\n  \"force_url_result\": false,\n  \"classification_schema\": [],\n  \"category_groups\": {},\n  \"page_range\": {\n    \"start\": 123,\n    \"end\": 123\n  },\n  \"document_metadata\": \"<string>\"\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))

}

{
  "job_id": "<string>",
  "result": {
    "category": "<string>"
  },
  "response_type": "classify",
  "response_confidence": {
    "categories": [
      {
        "category": "<string>",
        "confidence": 123,
        "criteria_confidence": [
          {
            "criterion": "<string>",
            "confidence": "high"
          }
        ]
      }
    ]
  },
  "usage": {
    "num_pages": 123,
    "num_categories": 123,
    "credits": 123,
    "usage_breakdown": {
      "classify_model": "Classify",
      "classify_pages": 0
    }
  },
  "extra_metadata": {},
  "duration": 123
}

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