Tweet classification API with your own AI questions

curl --request POST \
  --url https://xquik.com/api/v1/x/analysis/classify \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "tweetIds": [
    "<string>"
  ],
  "query": "<string>",
  "username": "<string>",
  "listId": "<string>",
  "quotesOf": "<string>",
  "repliesTo": "<string>",
  "sinceTime": "<string>",
  "untilTime": "<string>",
  "queryType": "<string>",
  "limit": 123,
  "cursor": "<string>",
  "texts": [
    "<string>"
  ],
  "baseline": [
    {}
  ],
  "analysis": {
    "targets": [
      {}
    ],
    "context": "<string>",
    "questions": [
      {}
    ],
    "preset": "<string>",
    "maxContextBytes": 123,
    "concurrency": 123
  }
}
'

import requests

url = "https://xquik.com/api/v1/x/analysis/classify"

payload = {
    "tweetIds": ["<string>"],
    "query": "<string>",
    "username": "<string>",
    "listId": "<string>",
    "quotesOf": "<string>",
    "repliesTo": "<string>",
    "sinceTime": "<string>",
    "untilTime": "<string>",
    "queryType": "<string>",
    "limit": 123,
    "cursor": "<string>",
    "texts": ["<string>"],
    "baseline": [{}],
    "analysis": {
        "targets": [{}],
        "context": "<string>",
        "questions": [{}],
        "preset": "<string>",
        "maxContextBytes": 123,
        "concurrency": 123
    }
}
headers = {"Content-Type": "<content-type>"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': '<content-type>'},
  body: JSON.stringify({
    tweetIds: ['<string>'],
    query: '<string>',
    username: '<string>',
    listId: '<string>',
    quotesOf: '<string>',
    repliesTo: '<string>',
    sinceTime: '<string>',
    untilTime: '<string>',
    queryType: '<string>',
    limit: 123,
    cursor: '<string>',
    texts: ['<string>'],
    baseline: [{}],
    analysis: {
      targets: [{}],
      context: '<string>',
      questions: [{}],
      preset: '<string>',
      maxContextBytes: 123,
      concurrency: 123
    }
  })
};

fetch('https://xquik.com/api/v1/x/analysis/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://xquik.com/api/v1/x/analysis/classify"

	payload := strings.NewReader("{\n  \"tweetIds\": [\n    \"<string>\"\n  ],\n  \"query\": \"<string>\",\n  \"username\": \"<string>\",\n  \"listId\": \"<string>\",\n  \"quotesOf\": \"<string>\",\n  \"repliesTo\": \"<string>\",\n  \"sinceTime\": \"<string>\",\n  \"untilTime\": \"<string>\",\n  \"queryType\": \"<string>\",\n  \"limit\": 123,\n  \"cursor\": \"<string>\",\n  \"texts\": [\n    \"<string>\"\n  ],\n  \"baseline\": [\n    {}\n  ],\n  \"analysis\": {\n    \"targets\": [\n      {}\n    ],\n    \"context\": \"<string>\",\n    \"questions\": [\n      {}\n    ],\n    \"preset\": \"<string>\",\n    \"maxContextBytes\": 123,\n    \"concurrency\": 123\n  }\n}")

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

	req.Header.Add("Content-Type", "<content-type>")

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

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

	fmt.Println(string(body))

}

{
  "results": [
    {
      "tweet": {},
      "answers": {},
      "analysis": {},
      "sourceDomains": [
        "<string>"
      ],
      "cashtags": [
        "<string>"
      ],
      "monitor": {}
    }
  ],
  "unanalyzed": [
    {
      "id": "<string>",
      "status": "<string>",
      "reason": "<string>"
    }
  ],
  "analysisSummary": {
    "schemaVersion": 123,
    "rows": {},
    "engagement": 123,
    "questions": {},
    "targets": [
      {}
    ],
    "cashtags": [
      {}
    ],
    "sourceDomains": [
      {}
    ],
    "monitor": {}
  },
  "has_next_page": true,
  "next_cursor": "<string>"
}