await client.datapoints.insert([{ id: 123, datapoints: [{timestamp: 1557320284000, value: -2}] }]);

from cognite.client.data_classes.data_modeling import NodeId
from cognite.client.data_classes import StatusCode
from datetime import datetime, timezone
to_insert = [
    {"id": 1, "datapoints": [
        (datetime(2018,1,1, tzinfo=timezone.utc), 1000),
        (datetime(2018,1,2, tzinfo=timezone.utc), 2000, StatusCode.Good)],
    },
    {"external_id": "foo", "datapoints": [
        (datetime(2018,1,3, tzinfo=timezone.utc), 3000),
        (datetime(2018,1,4, tzinfo=timezone.utc), 4000, StatusCode.Uncertain)],
    },
    {"instance_id": NodeId("my-space", "my-ts-xid"), "datapoints": [
        (datetime(2018,1,5, tzinfo=timezone.utc), 5000),
        (datetime(2018,1,6, tzinfo=timezone.utc), None, StatusCode.Bad)],
    }
]

import math
to_insert.append(
    {"external_id": "bar", "datapoints": [
        {"timestamp": 170000000, "value": 7000},
        {"timestamp": 180000000, "value": 8000, "status": {"symbol": "Uncertain"}},
        {"timestamp": 190000000, "value": None, "status": {"code": StatusCode.Bad}},
        {"timestamp": 200000000, "value": math.inf, "status": {"code": StatusCode.Bad, "symbol": "Bad"}},
]})

data_to_clone = client.time_series.data.retrieve(
    external_id="bar", include_status=True, ignore_bad_datapoints=False)
to_insert.append({"external_id": "bar-clone", "datapoints": data_to_clone})
client.time_series.data.insert_multiple(to_insert)

List<TimeseriesPointPost> items = new ArrayList<>(); items.add(TimeseriesPointPost.newBuilder() 
 .setExternalId("TimeseriesMetadata.id") 
 .setTimestamp(timeStamp.toEpochMilli()) 
 .setValueNum(ThreadLocalRandom.current().nextLong(-10, 20)) 
 .build()); 
client.timeseries().dataPoints().upsert(items);

curl --request POST \
  --url https://{cluster}.cognitedata.com/api/v1/projects/{project}/timeseries/data \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "items": [
    {
      "id": 4503599627370496,
      "datapoints": [
        {
          "timestamp": 946727999999.5,
          "value": 123,
          "status": {
            "code": 123,
            "symbol": "<string>"
          }
        }
      ]
    }
  ]
}
'

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://{cluster}.cognitedata.com/api/v1/projects/{project}/timeseries/data",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'items' => [
        [
                'id' => 4503599627370496,
                'datapoints' => [
                                [
                                                                'timestamp' => 946727999999.5,
                                                                'value' => 123,
                                                                'status' => [
                                                                                                                                'code' => 123,
                                                                                                                                'symbol' => '<string>'
                                                                ]
                                ]
                ]
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://{cluster}.cognitedata.com/api/v1/projects/{project}/timeseries/data"

	payload := strings.NewReader("{\n  \"items\": [\n    {\n      \"id\": 4503599627370496,\n      \"datapoints\": [\n        {\n          \"timestamp\": 946727999999.5,\n          \"value\": 123,\n          \"status\": {\n            \"code\": 123,\n            \"symbol\": \"<string>\"\n          }\n        }\n      ]\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))

}

require 'uri'
require 'net/http'

url = URI("https://{cluster}.cognitedata.com/api/v1/projects/{project}/timeseries/data")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"items\": [\n    {\n      \"id\": 4503599627370496,\n      \"datapoints\": [\n        {\n          \"timestamp\": 946727999999.5,\n          \"value\": 123,\n          \"status\": {\n            \"code\": 123,\n            \"symbol\": \"<string>\"\n          }\n        }\n      ]\n    }\n  ]\n}"

response = http.request(request)
puts response.read_body

{}

{
  "error": {
    "code": 400,
    "message": "<string>",
    "missing": [
      {
        "id": 4503599627370496
      }
    ]
  }
}

{
  "error": {
    "code": 422,
    "message": "<string>",
    "duplicated": [
      {
        "id": 4503599627370496
      }
    ]
  }
}