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POST
/
v1
/
flow
/
data-jobs
Submit data job
curl --request POST \
  --url https://flow.seekr.com/v1/flow/data-jobs \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "system_prompt": "<string>",
  "instructions": "<string>",
  "vector_database_id": "<string>"
}
'
import requests

url = "https://flow.seekr.com/v1/flow/data-jobs"

payload = {
    "name": "<string>",
    "system_prompt": "<string>",
    "instructions": "<string>",
    "vector_database_id": "<string>"
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)
const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    system_prompt: '<string>',
    instructions: '<string>',
    vector_database_id: '<string>'
  })
};

fetch('https://flow.seekr.com/v1/flow/data-jobs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://flow.seekr.com/v1/flow/data-jobs",
  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([
    'name' => '<string>',
    'system_prompt' => '<string>',
    'instructions' => '<string>',
    'vector_database_id' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "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://flow.seekr.com/v1/flow/data-jobs"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"vector_database_id\": \"<string>\"\n}")

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

	req.Header.Add("Authorization", "<api-key>")
	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))

}
HttpResponse<String> response = Unirest.post("https://flow.seekr.com/v1/flow/data-jobs")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"vector_database_id\": \"<string>\"\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://flow.seekr.com/v1/flow/data-jobs")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"vector_database_id\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body
{
  "id": "<string>",
  "user_id": "<string>",
  "name": "<string>",
  "job_type": "<string>",
  "alignment_job_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "origin_data_job_id": "<string>",
  "status_message": "<string>",
  "system_prompt": "<string>",
  "system_prompt_updated_at": "2023-11-07T05:31:56Z",
  "instructions": "<string>",
  "instructions_updated_at": "2023-11-07T05:31:56Z",
  "resolved_instructions": "<string>",
  "vector_database_id": "<string>"
}
{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}
Create a new data job. The job_type field determines the workflow:
  • principle_files — generates a QA pair dataset for instruction fine-tuning
  • context_grounded_files — generates context-grounded training data from uploaded documents
  • context_grounded_vector_db — generates context-grounded training data using an existing vector database
Newly created jobs have no files attached. Use POST /v1/flow/data-jobs/{id}/add-files to attach uploaded file IDs after creation. For the complete workflow, see Create instruction fine-tuning data or Create context-grounded fine-tuning data.

Authorizations

​
Authorization
string
header
required

Your Seekr API key, sent in the Authorization header with no 'Bearer' prefix.

Body

application/json
​
name
string
required
Required string length: 1 - 255
​
job_type
enum<string>
required

Valid job types for data jobs.

Available options:
principle_files,
context_grounded_files,
context_grounded_vector_db
​
system_prompt
string | null
Minimum string length: 1
​
instructions
string | null

Natural-language description of the task the generated dataset should support. Alignment uses it to shape the examples it produces, such as the topics and the kinds of questions a fine-tuned model should be able to handle.

Minimum string length: 1
​
vector_database_id
string | null

Response

Successful Response

Lightweight response for list view performance.

​
id
string
required
​
user_id
string
required
​
name
string
required
​
job_type
string
required
​
alignment_job_id
string | null
required
​
created_at
string<date-time>
required
​
updated_at
string<date-time>
required
​
status
required

Status values that exist BEFORE an alignment job is linked. Once linked, the real status comes from AlignmentJobStatus directly — see DataJobResponse.status's union type and derive_data_job_status.

Available options:
file_processing,
needs_review,
ready_to_start
​
origin_data_job_id
string | null
​
status_message
string | null
​
system_prompt
string | null
​
system_prompt_updated_at
string<date-time> | null
​
instructions
string | null
​
instructions_updated_at
string<date-time> | null
​
resolved_instructions
string | null
​
vector_database_id
string | null
Last modified on June 18, 2026