Prediction

import { JigsawStack } from "jigsawstack";

const jigsaw = JigsawStack({ apiKey: "your-api-key" });

const response = await jigsaw.prediction({
  "dataset": [
        {
              "date": "2023-01-01",
              "value": 353459
        },
        {
              "date": "2023-01-02",
              "value": 313734
        },
        {
              "date": "2023-01-03",
              "value": 333774
        },
        {
              "date": "2023-01-04",
              "value": 348636
        },
        {
              "date": "2023-01-05",
              "value": 278903
        }
  ],
  "steps": 3
})

from jigsawstack import JigsawStack

jigsaw = JigsawStack(api_key="your-api-key")

response = jigsaw.prediction({
  "dataset": [
        {
              "date": "2023-01-01",
              "value": 353459
        },
        {
              "date": "2023-01-02",
              "value": 313734
        },
        {
              "date": "2023-01-03",
              "value": 333774
        },
        {
              "date": "2023-01-04",
              "value": 348636
        },
        {
              "date": "2023-01-05",
              "value": 278903
        }
  ],
  "steps": 3
})

curl https://api.jigsawstack.com/v1/ai/prediction \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"dataset":[{"date":"2023-01-01","value":353459},{"date":"2023-01-02","value":313734},{"date":"2023-01-03","value":333774},{"date":"2023-01-04","value":348636},{"date":"2023-01-05","value":278903}],"steps":3}'

<?php
$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://api.jigsawstack.com/v1/ai/prediction');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_CUSTOMREQUEST, 'POST');
curl_setopt($ch, CURLOPT_HTTPHEADER, [
'Content-Type: application/json',
'x-api-key: your-api-key',
]);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{"dataset":[{"date":"2023-01-01","value":353459},{"date":"2023-01-02","value":313734},{"date":"2023-01-03","value":333774},{"date":"2023-01-04","value":348636},{"date":"2023-01-05","value":278903}],"steps":3}');

$response = curl_exec($ch);

curl_close($ch);

require 'net/http'
require 'json'

uri = URI('https://api.jigsawstack.com/v1/ai/prediction')
req = Net::HTTP::Post.new(uri)
req.content_type = 'application/json'
req['x-api-key'] = 'your-api-key'

req.body = {
'dataset' => [
{
  'date' => '2023-01-01',
  'value' => 353459
},
{
  'date' => '2023-01-02',
  'value' => 313734
},
{
  'date' => '2023-01-03',
  'value' => 333774
},
{
  'date' => '2023-01-04',
  'value' => 348636
},
{
  'date' => '2023-01-05',
  'value' => 278903
}
],
'steps' => 3
}.to_json

req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end

package main

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

func main() {
client := &http.Client{}
var data = strings.NewReader(`{"dataset":[{"date":"2023-01-01","value":353459},{"date":"2023-01-02","value":313734},{"date":"2023-01-03","value":333774},{"date":"2023-01-04","value":348636},{"date":"2023-01-05","value":278903}],"steps":3}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/ai/prediction", data)
if err != nil {
	log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
	log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
	log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}

import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;

HttpClient client = HttpClient.newHttpClient();

HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/ai/prediction"))
.POST(BodyPublishers.ofString("{\"dataset\":[{\"date\":\"2023-01-01\",\"value\":353459},{\"date\":\"2023-01-02\",\"value\":313734},{\"date\":\"2023-01-03\",\"value\":333774},{\"date\":\"2023-01-04\",\"value\":348636},{\"date\":\"2023-01-05\",\"value\":278903}],\"steps\":3}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();

HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());

import Foundation

let jsonData = [
"dataset": [
    [
        "date": "2023-01-01",
        "value": 353459
    ],
    [
        "date": "2023-01-02",
        "value": 313734
    ],
    [
        "date": "2023-01-03",
        "value": 333774
    ],
    [
        "date": "2023-01-04",
        "value": 348636
    ],
    [
        "date": "2023-01-05",
        "value": 278903
    ]
],
"steps": 3
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])

let url = URL(string: "https://api.jigsawstack.com/v1/ai/prediction")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data

let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
    print(error)
} else if let data = data {
    let str = String(data: data, encoding: .utf8)
    print(str ?? "")
}
}

task.resume()

import 'package:http/http.dart' as http;

void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};

final data = '{"dataset":[{"date":"2023-01-01","value":353459},{"date":"2023-01-02","value":313734},{"date":"2023-01-03","value":333774},{"date":"2023-01-04","value":348636},{"date":"2023-01-05","value":278903}],"steps":3}';

final url = Uri.parse('https://api.jigsawstack.com/v1/ai/prediction');

final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');

print(res.body);
}

import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody

val client = OkHttpClient()

val MEDIA_TYPE = "application/json".toMediaType()

val requestBody = "{\"dataset\":[{\"date\":\"2023-01-01\",\"value\":353459},{\"date\":\"2023-01-02\",\"value\":313734},{\"date\":\"2023-01-03\",\"value\":333774},{\"date\":\"2023-01-04\",\"value\":348636},{\"date\":\"2023-01-05\",\"value\":278903}],\"steps\":3}"

val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/prediction")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()

client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}

using System.Net.Http.Headers;
using System.Net.Http.Json;

HttpClient client = new HttpClient();

HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/prediction");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
dataset = new List<object> { {"date":"2023-01-01","value":353459}, {"date":"2023-01-02","value":313734}, {"date":"2023-01-03","value":333774}, {"date":"2023-01-04","value":348636}, {"date":"2023-01-05","value":278903} },
steps = 3
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");

HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();

Console.WriteLine(responseBody);

{
  "success": true,
  "prediction": [
        {
              "date": "2023-01-08 00:00:00",
              "value": 315214.5625
        },
        {
              "date": "2023-01-07 00:00:00",
              "value": 320094.71875
        },
        {
              "date": "2023-01-06 00:00:00",
              "value": 316329.9375
        }
  ],
  "steps": 3,
  "_usage": {
        "input_tokens": 53,
        "output_tokens": 49,
        "inference_time_tokens": 1992,
        "total_tokens": 2094
  }
}