Pricing

Pay per event

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Time Series Forecasting (Chronos-2): Sales, Demand, Traffic

Try for free

Forecast sales, demand, traffic, prices or any time series with Amazon's Chronos-2 model: prediction intervals, backtest accuracy, seasonality, a plain-language summary and a chart per series. From values, CSV, Excel, Google Sheets or an Apify dataset. For AI agents.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Jumble Mog

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

E-commerce

Developer tools

You can access the Time Series Forecasting (Chronos-2): Sales, Demand, Traffic programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "data": [
12        {
13            "month": "2021-09",
14            "co2_ppm": 413.26
15        },
16        {
17            "month": "2021-10",
18            "co2_ppm": 413.9
19        },
20        {
21            "month": "2021-11",
22            "co2_ppm": 414.97
23        },
24        {
25            "month": "2021-12",
26            "co2_ppm": 416.67
27        },
28        {
29            "month": "2022-01",
30            "co2_ppm": 418.13
31        },
32        {
33            "month": "2022-02",
34            "co2_ppm": 419.24
35        },
36        {
37            "month": "2022-03",
38            "co2_ppm": 418.76
39        },
40        {
41            "month": "2022-04",
42            "co2_ppm": 420.19
43        },
44        {
45            "month": "2022-05",
46            "co2_ppm": 420.97
47        },
48        {
49            "month": "2022-06",
50            "co2_ppm": 420.94
51        },
52        {
53            "month": "2022-07",
54            "co2_ppm": 418.85
55        },
56        {
57            "month": "2022-08",
58            "co2_ppm": 417.15
59        },
60        {
61            "month": "2022-09",
62            "co2_ppm": 415.91
63        },
64        {
65            "month": "2022-10",
66            "co2_ppm": 415.74
67        },
68        {
69            "month": "2022-11",
70            "co2_ppm": 417.47
71        },
72        {
73            "month": "2022-12",
74            "co2_ppm": 418.99
75        },
76        {
77            "month": "2023-01",
78            "co2_ppm": 419.48
79        },
80        {
81            "month": "2023-02",
82            "co2_ppm": 420.31
83        },
84        {
85            "month": "2023-03",
86            "co2_ppm": 420.99
87        },
88        {
89            "month": "2023-04",
90            "co2_ppm": 423.35
91        },
92        {
93            "month": "2023-05",
94            "co2_ppm": 424
95        },
96        {
97            "month": "2023-06",
98            "co2_ppm": 423.68
99        },
100        {
101            "month": "2023-07",
102            "co2_ppm": 421.83
103        },
104        {
105            "month": "2023-08",
106            "co2_ppm": 419.68
107        },
108        {
109            "month": "2023-09",
110            "co2_ppm": 418.5
111        },
112        {
113            "month": "2023-10",
114            "co2_ppm": 418.82
115        },
116        {
117            "month": "2023-11",
118            "co2_ppm": 420.46
119        },
120        {
121            "month": "2023-12",
122            "co2_ppm": 421.86
123        },
124        {
125            "month": "2024-01",
126            "co2_ppm": 422.8
127        },
128        {
129            "month": "2024-02",
130            "co2_ppm": 424.55
131        },
132        {
133            "month": "2024-03",
134            "co2_ppm": 425.38
135        },
136        {
137            "month": "2024-04",
138            "co2_ppm": 426.51
139        },
140        {
141            "month": "2024-05",
142            "co2_ppm": 426.9
143        },
144        {
145            "month": "2024-06",
146            "co2_ppm": 426.91
147        },
148        {
149            "month": "2024-07",
150            "co2_ppm": 425.55
151        },
152        {
153            "month": "2024-08",
154            "co2_ppm": 422.99
155        },
156        {
157            "month": "2024-09",
158            "co2_ppm": 422.03
159        },
160        {
161            "month": "2024-10",
162            "co2_ppm": 422.38
163        },
164        {
165            "month": "2024-11",
166            "co2_ppm": 423.85
167        },
168        {
169            "month": "2024-12",
170            "co2_ppm": 425.4
171        },
172        {
173            "month": "2025-01",
174            "co2_ppm": 426.65
175        },
176        {
177            "month": "2025-02",
178            "co2_ppm": 427.09
179        },
180        {
181            "month": "2025-03",
182            "co2_ppm": 428.15
183        },
184        {
185            "month": "2025-04",
186            "co2_ppm": 429.64
187        },
188        {
189            "month": "2025-05",
190            "co2_ppm": 430.51
191        },
192        {
193            "month": "2025-06",
194            "co2_ppm": 429.61
195        },
196        {
197            "month": "2025-07",
198            "co2_ppm": 427.87
199        },
200        {
201            "month": "2025-08",
202            "co2_ppm": 425.48
203        },
204        {
205            "month": "2025-09",
206            "co2_ppm": 424.37
207        },
208        {
209            "month": "2025-10",
210            "co2_ppm": 424.87
211        },
212        {
213            "month": "2025-11",
214            "co2_ppm": 426.46
215        },
216        {
217            "month": "2025-12",
218            "co2_ppm": 427.49
219        },
220        {
221            "month": "2026-01",
222            "co2_ppm": 428.62
223        },
224        {
225            "month": "2026-02",
226            "co2_ppm": 429.35
227        },
228        {
229            "month": "2026-03",
230            "co2_ppm": 430.15
231        },
232        {
233            "month": "2026-04",
234            "co2_ppm": 431.12
235        },
236        {
237            "month": "2026-05",
238            "co2_ppm": 432.34
239        },
240        {
241            "month": "2026-06",
242            "co2_ppm": 431.43
243        },
244        {
245            "month": "2026-07",
246            "co2_ppm": 429.13
247        },
248        {
249            "month": "2026-08",
250            "co2_ppm": 427.55
251        }
252    ]
253};
254
255// Run the Actor and wait for it to finish
256const run = await client.actor("jumblemog/time-series-forecasting").call(input);
257
258// Fetch and print Actor results from the run's dataset (if any)
259console.log('Results from dataset');
260console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
261const { items } = await client.dataset(run.defaultDatasetId).listItems();
262items.forEach((item) => {
263    console.dir(item);
264});
265
266// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Time Series Forecasting API: Sales & Demand with Chronos-2 API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Time Series Forecasting (Chronos-2): Sales, Demand, Traffic API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Time Series Forecasting (Chronos-2): Sales, Demand, Traffic API in Python

Time Series Forecasting (Chronos-2): Sales, Demand, Traffic API through CLI

Time Series Forecasting (Chronos-2): Sales, Demand, Traffic OpenAPI definition

Time Series Forecasting (Chronos-2): Sales, Demand, Traffic API

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