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Obtegna ina clav API
Nov Kling 3.0 e Seedance 2.0 èn activs

In'unica API per ils megliers models da maletgs, video ed audio

Il medem format da dumonda per mintga model. Prezi exact avant l'execuziun. Datotecas conservadas per adina u 7 dis gratuitamain, tenor vossa tscherna.

Obtegna ina clav API Sfegliar models

POSTapi.doitong.com/v1/run/{model_id}

1 496models
84laboratoris
MaletgVideoAudio3DTextDatas (JSON)Datoteca
in format da dumonda per tuts
Cumenzament svelt

Da la clav al video terminà en ina clamada

Leger il cumenzament svelt
terminal
# Keys start with doitong_
export DOITONG_API_KEY="doitong_..."

# Check it works: returns your API credit balance
curl https://api.doitong.com/v1/account \
  -H "Authorization: Bearer $DOITONG_API_KEY"
terminal
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/kling-video/v3/pro/image-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "The banana manager turns to the camera, smiles and waves while coworkers keep typing, gentle handheld camera",
    "image": "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
    "duration": 5
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
response.json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "model": "kling-video/v3/pro/image-to-video",
  "status": "succeeded",
  "cost": {
    "credits": 840,
    "usd": "0.84",
    "charged": 840,
    "refunded": 0
  },
  "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
    }
  ]
}
1 496 models · 21 categorias

Guardar tge che mintga model producescha

Tut las categorias (21)
Maletg Text a maletg Models: 199 Maletg Modificaziun da maletgs Models: 376 Video Text a video Models: 126 Video Maletg a video Models: 152 Video Video a video Models: 147 Video Lipsync e avatars Models: 65 Audio Text a discurrer Models: 60 3D Maletg a 3D Models: 41

Sfegliar tenor laboratori

Tut ils laboratoris (84)
Pertge Doitong API

Emprender ina dumonda. Utilisar mintga model.

Parameters unifitgads

image, duration e aspect_ratio muntan il medem sin mintga model. Ils nums specifics dal model funcziunan vinavant sco aliases.

"image": "…", "duration": 5

Ina URL da dumonda per mintga model

Midar il model cun midar il path. Auth, body e resposta restan identics.

POST /run/{model_id}

Quote = debit

POST /quote/{model_id} returna il pretsch exact per tes input. Quai è quai che ti pajas, mai dapli.

→ { "credits": 560, "usd": "0.56" }

Datotecas conservadas uschè ditg sco ti dovras

Mintga output vegn copià en nossa memorisaziun. Conserva'l per adina per $0,10 per GB e mais, u 7 dis gratuitamain: cun in switch en tes conto u per dumonda.

?storage=permanent | temporary

In format d'errur

Mintga errur numna il parameter, il motiv ed ina colliaziun a la documentaziun, per mintga model. Inputs invalids na vegnan mai debitads.

"param": "duration", "code": "out_of_range"

Budgets per clav + MCP

Limitar la expensa per clav e surdar quella clav ad in agent tras il server MCP.

api.doitong.com/v1/mcp
Construì per agents IA

Lascha tes agent tscherner il model, citar il pretsch e l'executar

Connectar Claude, ChatGPT u Cursor al server MCP da Doitong cun la medema clav che ti dovras per REST. Mintga pagina da la documentaziun è er disponibla sco Markdown, uschia che ils agents legian exact quai che ti legias.

  • Citats avant mintga execuziun, uschia che ils agents restan en il budget
  • Las errurs numran il parameter che l'agent sto curreger
  • Ina versiun Markdown da mintga pagina per las fanestras da context

Collar quel en Claude, ChatGPT u Cursor e descriver lura tge che ti vuls construir.

Mussar il prompt 
You can generate images, video, audio and 3D with the Doitong API.
Read https://doitong.com/developers/llms.txt first, then the .md page of each model you plan to use.
Base URL: https://api.doitong.com/v1. Authenticate with the header "Authorization: Bearer $DOITONG_API_KEY".
List models with GET /models and read one model's schema with GET /models/{model_id}.
Always call POST /quote/{model_id} with the input first and tell me the price (1000 API credits = 1 USD).
Then call POST /run/{model_id}?wait=20 with the same JSON body and an Idempotency-Key header.
If the status is still queued or running, poll GET /requests/{id}?wait=20.
Use outputs[].url from the response; files are kept forever unless the account keeps them 7 days
(pass ?storage=temporary for throwaway runs). Use only parameters from the model schema.
llms.txt llms-full.txt openapi.json Guida MCP 
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
  --header "Authorization: Bearer YOUR_API_KEY"

Executa ina giada en il dossier dal project. La medema clav Bearer sco per REST API.