Async Infer (Dataset)

curl --request POST \
  --url https://api.woodwide.ai/models/{model_id}/infer-batch \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "dataset_id": "a1b2c3d4-0000-0000-0000-000000000001",
  "output_type": "json"
}
'

import requests

url = "https://api.woodwide.ai/models/{model_id}/infer-batch"

payload = {
    "dataset_id": "a1b2c3d4-0000-0000-0000-000000000001",
    "output_type": "json"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({dataset_id: 'a1b2c3d4-0000-0000-0000-000000000001', output_type: 'json'})
};

fetch('https://api.woodwide.ai/models/{model_id}/infer-batch', 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://api.woodwide.ai/models/{model_id}/infer-batch",
  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([
    'dataset_id' => 'a1b2c3d4-0000-0000-0000-000000000001',
    'output_type' => 'json'
  ]),
  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://api.woodwide.ai/models/{model_id}/infer-batch"

	payload := strings.NewReader("{\n  \"dataset_id\": \"a1b2c3d4-0000-0000-0000-000000000001\",\n  \"output_type\": \"json\"\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))

}

HttpResponse<String> response = Unirest.post("https://api.woodwide.ai/models/{model_id}/infer-batch")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"dataset_id\": \"a1b2c3d4-0000-0000-0000-000000000001\",\n  \"output_type\": \"json\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.woodwide.ai/models/{model_id}/infer-batch")

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  \"dataset_id\": \"a1b2c3d4-0000-0000-0000-000000000001\",\n  \"output_type\": \"json\"\n}"

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

{
  "job_id": "c3d4e5f6-0000-0000-0000-000000000004",
  "status": "queued",
  "model": {
    "id": "b2c3d4e5-0000-0000-0000-000000000001",
    "version_id": "b2c3d4e5-0000-0000-0000-000000000002",
    "version_number": 1
  }
}

{
  "detail": "Not authenticated"
}

{
  "detail": "Forbidden"
}

{
  "detail": "Not found"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

{
  "detail": "Rate limit exceeded. Retry after a short delay."
}

POST

models

{model_id}

infer-batch

Async Infer (Dataset)

curl --request POST \
  --url https://api.woodwide.ai/models/{model_id}/infer-batch \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "dataset_id": "a1b2c3d4-0000-0000-0000-000000000001",
  "output_type": "json"
}
'

import requests

url = "https://api.woodwide.ai/models/{model_id}/infer-batch"

payload = {
    "dataset_id": "a1b2c3d4-0000-0000-0000-000000000001",
    "output_type": "json"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({dataset_id: 'a1b2c3d4-0000-0000-0000-000000000001', output_type: 'json'})
};

fetch('https://api.woodwide.ai/models/{model_id}/infer-batch', 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://api.woodwide.ai/models/{model_id}/infer-batch",
  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([
    'dataset_id' => 'a1b2c3d4-0000-0000-0000-000000000001',
    'output_type' => 'json'
  ]),
  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://api.woodwide.ai/models/{model_id}/infer-batch"

	payload := strings.NewReader("{\n  \"dataset_id\": \"a1b2c3d4-0000-0000-0000-000000000001\",\n  \"output_type\": \"json\"\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))

}

HttpResponse<String> response = Unirest.post("https://api.woodwide.ai/models/{model_id}/infer-batch")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"dataset_id\": \"a1b2c3d4-0000-0000-0000-000000000001\",\n  \"output_type\": \"json\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.woodwide.ai/models/{model_id}/infer-batch")

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  \"dataset_id\": \"a1b2c3d4-0000-0000-0000-000000000001\",\n  \"output_type\": \"json\"\n}"

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

{
  "job_id": "c3d4e5f6-0000-0000-0000-000000000004",
  "status": "queued",
  "model": {
    "id": "b2c3d4e5-0000-0000-0000-000000000001",
    "version_id": "b2c3d4e5-0000-0000-0000-000000000002",
    "version_number": 1
  }
}

{
  "detail": "Not authenticated"
}

{
  "detail": "Forbidden"
}

{
  "detail": "Not found"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

{
  "detail": "Rate limit exceeded. Retry after a short delay."
}

Reference input data by dataset_id (latest ready version) or dataset_version_id. Returns a job_id immediately. Poll GET /jobs/{job_id} until status is succeeded, then fetch results via GET /jobs/{job_id}/results. See Output Formats for output columns by model type.

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

model_id

string<uuid>

required

Body

application/json

Request body for asynchronous dataset inference.

Reference input data by dataset_id (resolves to the latest ready version) or dataset_version_id for reproducibility. Optionally pin a model_version_id.

model_version_id

string<uuid>

Pin a specific model version. If omitted, the latest ready version is used.

dataset_version_id

string<uuid>

Pin a specific dataset version for inference input.

dataset_id

string<uuid>

Dataset to run inference on (uses latest ready version). Provide this OR dataset_version_id.

output_type

enum<string>

default:parquet

Output format: json, csv, or parquet.

Available options:

json,

csv,

parquet

anomaly_format

enum<string>

default:ids_only

Controls anomaly detection output shape. 'ids_only' returns a list of anomalous row indices. 'per_row' returns id, is_anomaly, and anomaly_score for every input row. Ignored for non-anomaly model types.

Available options:

ids_only,

per_row

Response

Successful Response Output format depends on the output_type parameter (json, csv, or parquet). See Output Formats for output columns by model type.

Async inference submission response.

job_id

string

required

Public ID of the inference job (e.g. job_A8K2P9QX).

status

string

required

model_version_id

string

required

Public ID of the model version used (e.g. mdlv_A8K2P9QX).

Getting Started

Endpoints

Details

Async Infer (Dataset)

Authorizations

Path Parameters

Body

Response