> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.milliseconds.ai/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.milliseconds.ai/_mcp/server.

# Find entities

POST https://api.milliseconds.ai/v1/decision-machine-1/entities
Content-Type: application/json

Finds every span matching each entity type, with positions. On an `image`, `start`, `end` and `probability` are null.

Send `text` for one result, `texts` for a batch wrapped as `{ results: [...] }`, or `image` (one image, at most 5 MB decoded, optionally with `text`; never with `texts`). The response carries `x-input-chars` (input characters) and `x-input-tokens` (input tokens billed for this call) headers. Each item of `texts` (and each of `statements` or `questions`) counts as one request against the requests-per-minute limit.

Reference: https://docs.milliseconds.ai/api/decision-machine-1/entities

## Authentication

- `Authorization` header (bearer token, required) — A milliseconds API key, test\_sk-\{namespace}-\{entropy} or prod\_sk-\{namespace}-\{entropy}. Every /v1 route requires it.

## Request

### Body (application/json)

This endpoint expects an EntitiesRequest.

- `types` (EntitiesRequestTypes, required) — Entity types, or type -> description.
- `text` (string, optional) — The text to decide about.
- `texts` (list of string, optional) — Batch form: one result per text.
- `image` (string, optional) — One image: a `data:image/(jpeg|png|webp);base64,` URL, or bare base64 of a JPEG, PNG or WebP. 5 MB decoded at most. URLs are never fetched. May travel with `text` (extra context), never with `texts`.
- `detail` (enum, optional) — Image resolution: `low` 512 px, `medium` 768 px (default), `high` 1024 px longest edge. Higher sees more and bills more.
  - Allowed values: `low`, `medium`, `high`

## Response

### 200

Result, or \{ results } for a batch

- `decision-machine-1_entities_Response_200`
  - EntitiesResult: EntitiesResult
  - DecisionMachine1EntitiesResponse2001

## Errors

### 400 Bad Request Error

Invalid request

- `error` (ErrorError, required)

### 502 Bad Gateway Error

Inference failed twice

- `error` (ErrorError, required)

## Types

### EntitiesRequestTypes

Entity types, or type -> description.

- list of string
- map from string to string

### EntitiesResult

- `entities` (list of EntitiesResultEntitiesItems, required)

### DecisionMachine1EntitiesResponse2001

- `results` (list of EntitiesResult, required)

### ErrorError

- `code` (string, required)
- `message` (string, required)

### EntitiesResultEntitiesItems

- Entity: Entity
- ImageEntity: ImageEntity

### Entity

- `type` (string, required)
- `text` (string, required)
- `probability` (double, required)
- `start` (integer, required, nullable)
- `end` (integer, required, nullable)

### ImageEntity

- `type` (string, required)
- `text` (string, required)
- `probability` (any, required)
- `start` (any, required)
- `end` (any, required)

## Examples

**Request**

```json
{
  "types": {
    "location": "a city or place",
    "money": "a money amount",
    "person": "a human name",
    "product": "a commercial product"
  },
  "text": "John Ternus announced the iPhone Duo in Cupertino on Tuesday. Pre-orders start Friday at $1,999."
}
```

**Response**

```json
{
  "entities": [
    {
      "end": 11,
      "probability": 0.999,
      "start": 0,
      "text": "John Ternus",
      "type": "person"
    },
    {
      "end": 36,
      "probability": 0.985,
      "start": 26,
      "text": "iPhone Duo",
      "type": "product"
    },
    {
      "end": 49,
      "probability": 0.999,
      "start": 40,
      "text": "Cupertino",
      "type": "location"
    },
    {
      "end": 95,
      "probability": 0.996,
      "start": 89,
      "text": "$1,999",
      "type": "money"
    }
  ]
}
```

**SDK Code**

```python decision-machine-1_entities_example
import requests

url = "https://api.milliseconds.ai/v1/decision-machine-1/entities"

payload = {
    "types": {
        "location": "a city or place",
        "money": "a money amount",
        "person": "a human name",
        "product": "a commercial product"
    },
    "text": "John Ternus announced the iPhone Duo in Cupertino on Tuesday. Pre-orders start Friday at $1,999."
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.json())
```

```javascript decision-machine-1_entities_example
const url = 'https://api.milliseconds.ai/v1/decision-machine-1/entities';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: '{"types":{"location":"a city or place","money":"a money amount","person":"a human name","product":"a commercial product"},"text":"John Ternus announced the iPhone Duo in Cupertino on Tuesday. Pre-orders start Friday at $1,999."}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go decision-machine-1_entities_example
package main

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

func main() {

	url := "https://api.milliseconds.ai/v1/decision-machine-1/entities"

	payload := strings.NewReader("{\n  \"types\": {\n    \"location\": \"a city or place\",\n    \"money\": \"a money amount\",\n    \"person\": \"a human name\",\n    \"product\": \"a commercial product\"\n  },\n  \"text\": \"John Ternus announced the iPhone Duo in Cupertino on Tuesday. Pre-orders start Friday at $1,999.\"\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(res)
	fmt.Println(string(body))

}
```

```ruby decision-machine-1_entities_example
require 'uri'
require 'net/http'

url = URI("https://api.milliseconds.ai/v1/decision-machine-1/entities")

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  \"types\": {\n    \"location\": \"a city or place\",\n    \"money\": \"a money amount\",\n    \"person\": \"a human name\",\n    \"product\": \"a commercial product\"\n  },\n  \"text\": \"John Ternus announced the iPhone Duo in Cupertino on Tuesday. Pre-orders start Friday at $1,999.\"\n}"

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

```java decision-machine-1_entities_example
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.post("https://api.milliseconds.ai/v1/decision-machine-1/entities")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"types\": {\n    \"location\": \"a city or place\",\n    \"money\": \"a money amount\",\n    \"person\": \"a human name\",\n    \"product\": \"a commercial product\"\n  },\n  \"text\": \"John Ternus announced the iPhone Duo in Cupertino on Tuesday. Pre-orders start Friday at $1,999.\"\n}")
  .asString();
```

```php decision-machine-1_entities_example
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('POST', 'https://api.milliseconds.ai/v1/decision-machine-1/entities', [
  'body' => '{
  "types": {
    "location": "a city or place",
    "money": "a money amount",
    "person": "a human name",
    "product": "a commercial product"
  },
  "text": "John Ternus announced the iPhone Duo in Cupertino on Tuesday. Pre-orders start Friday at $1,999."
}',
  'headers' => [
    'Authorization' => 'Bearer <token>',
    'Content-Type' => 'application/json',
  ],
]);

echo $response->getBody();
```

```csharp decision-machine-1_entities_example
using RestSharp;

var client = new RestClient("https://api.milliseconds.ai/v1/decision-machine-1/entities");
var request = new RestRequest(Method.POST);
request.AddHeader("Authorization", "Bearer <token>");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", "{\n  \"types\": {\n    \"location\": \"a city or place\",\n    \"money\": \"a money amount\",\n    \"person\": \"a human name\",\n    \"product\": \"a commercial product\"\n  },\n  \"text\": \"John Ternus announced the iPhone Duo in Cupertino on Tuesday. Pre-orders start Friday at $1,999.\"\n}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
```

```swift decision-machine-1_entities_example
import Foundation

let headers = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
let parameters = [
  "types": [
    "location": "a city or place",
    "money": "a money amount",
    "person": "a human name",
    "product": "a commercial product"
  ],
  "text": "John Ternus announced the iPhone Duo in Cupertino on Tuesday. Pre-orders start Friday at $1,999."
] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "https://api.milliseconds.ai/v1/decision-machine-1/entities")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```