# Sam 3 1 · Video API

> SAM 3.1 vaizdo įrašų segmentavimas, sekantis iki 128 objektų ir pateikiantis išvestį mp4 arba webm formatu

Segmentuoja ir seka objektus vaizdo įraše naudodamas SAM 3.1 pagal kableliais atskirtą tekstinį `prompt`, taškus arba langelius. `max_num_objects` nustato sekamų objektų skaičių nuo 1 iki 128 (numatytoji reikšmė – 16). `detection_threshold` reikšmės yra nuo 0.1 iki 1. Išvestis yra X264 (.mp4) arba VP9 (.webm).

- Model id: `sam-3-1/video`
- Made by: Meta
- Category: Video to Video
- Output: video
- Price per 16 frames of your input video: $0.01 / 16 frames of input video (cheapest run $0.01 (10 API credits))
- Run: `POST https://api.doitong.ru/v1/run/sam-3-1/video`
- Quote: `POST https://api.doitong.ru/v1/quote/sam-3-1/video`
- Docs page: https://doitong.com/lt/developers/models/sam-3-1/video

## Pricing

Price: **$0.01 / 16 frames of input video**. Price per 16 frames of your input video: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.19 = 190 API credits (19 × 16 frames input video × $0.01).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/sam-3-1/video` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `video_url` | `video` | string (video URL) | yes |  |  | Vaizdo įrašo URL segmentavimui. |
| `prompt` |  | string | no | `` |  | Segmentavimo raginys, palaikantis kelis sekamus objektus, pateiktus kableliais atskirtais aprašais, pvz., 'person, cloth'. |
| `point_prompts` |  | array of object {x, y, label, object_id} | no | `[]` |  | Taškiniais raginiais pagrįstų raginimų rinkinys. |
| `point_prompts[].x` |  | integer \| null | no |  |  | Raginio padėtis X ašyje. |
| `point_prompts[].y` |  | integer \| null | no |  |  | Raginio padėtis Y ašyje. |
| `point_prompts[].label` |  | enum (integer) \| null | no |  | `0`, `1` | Priekinio plano / fono etiketė: 1 nurodo priekinį planą, 0 – foną. |
| `point_prompts[].object_id` |  | integer \| null | no |  |  | Pasirinktinis identifikatorius, grupuojantis vieną objektą tikslinančius raginimus. Jei kaip raginys taip pat pateikiamas tekstas, šis identifikatorius nurodo, kurį aptiktą objektą šie taškai tikslina. |
| `box_prompts` |  | array of object {x_min, y_min, x_max, y_max, object_id} | no | `[]` |  | Langelio raginiai, pateikti koordinačių kortežais (x_min, y_min, x_max, y_max). |
| `box_prompts[].x_min` |  | integer \| null | no |  |  | Mažiausia langelio x koordinatė. |
| `box_prompts[].y_min` |  | integer \| null | no |  |  | Mažiausia langelio y koordinatė. |
| `box_prompts[].x_max` |  | integer \| null | no |  |  | Didžiausia dėžutės X koordinatė. |
| `box_prompts[].y_max` |  | integer \| null | no |  |  | Didžiausia dėžutės Y koordinatė. |
| `box_prompts[].object_id` |  | integer \| null | no |  |  | Pasirinktinis identifikatorius, grupuojantis vieną objektą tikslinančias dėžutes. |
| `apply_mask` |  | boolean | no | `true` |  | Ar vaizdo įrašui taikyti maskavimą. |
| `video_output_type` |  | enum (string) | no | `X264 (.mp4)` | `X264 (.mp4)`, `VP9 (.webm)` | Gauto vaizdo įrašo išvesties tipas. |
| `detection_threshold` |  | number | no | `0.5` | 0.1 – 1 | Aptikimo pasikliautinumo riba: sumažinus reikšmę aptinkama daugiau objektų, bet mažėja tikslumas; diapazonas yra 0.0–1.0. |
| `max_num_objects` |  | integer | no | `16` | 1 – 128 | Didžiausias vaizdo įraše sekamų objektų skaičius. |

File parameters (`video`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/sam-3-1/video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/sam-3-1/video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/sam-3-1/video", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.ru/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "sam-3-1/video",
      "input": {
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "sam-3-1/video",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 190,
    "usd": "0.19",
    "charged": 190,
    "refunded": 0
  },
  "input": {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    },
    "boundingbox_frames_zip": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | Segmentavimo metu sukurtas vaizdo įrašas. |
| `boundingbox_frames_zip` | object {url, content_type, file_name, file_size} \| null | ZIP archyvas su kiekvieno kadro ribojančiųjų langelių perdangomis. |

## Related models

- [Sam 3 1 · Image](https://doitong.com/developers/models/sam-3-1/image.md) (`sam-3-1/image`): $0.01 / run
- [Sam 3 1 · Image RLE](https://doitong.com/developers/models/sam-3-1/image-rle.md) (`sam-3-1/image-rle`): $0.01 / run
- [Sam 3 1 · Video RLE](https://doitong.com/developers/models/sam-3-1/video-rle.md) (`sam-3-1/video-rle`): $0.01 / 16 frames of input video
- [Sam 3 · Video](https://doitong.com/developers/models/sam-3/video.md) (`sam-3/video`): $0.005 / 16 frames of input video
- [Sam 3 · Video RLE](https://doitong.com/developers/models/sam-3/video-rle.md) (`sam-3/video-rle`): $0.005 / 16 frames of input video
- [Segment Anything Model 2 · Video](https://doitong.com/developers/models/sam2/video.md) (`sam2/video`): $0.001111 / second of processing time
- [AMT Interpolation](https://doitong.com/developers/models/amt-interpolation.md) (`amt-interpolation`): $0.000575 / second of processing time
- [AnimateDiff Turbo · Video to Video](https://doitong.com/developers/models/fast-animatediff/turbo/video-to-video.md) (`fast-animatediff/turbo/video-to-video`): $0.00125 / second of processing time

## Links

- HTML page: https://doitong.com/developers/models/sam-3-1/video
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=sam-3-1/video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/sam-3-1/video