API waħda għall-aqwa mudelli tal-immaġini, tal-vidjow u tal-awdjo
L-istess format tat-talba għal kull mudell. Prezz eżatt qabel tħaddmu. Il-fajls jinżammu għal dejjem jew 7 ijiem b’xejn, kif tagħżel int.
POSTapi.doitong.com/v1/run/{model_id}
Minn ċavetta għal vidjow lest f’sejħa waħda
# 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"
# 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"
{
"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
}
]
}
Ara x’jipproduċi kull mudell
Ibbrawżja skont il-laboratorju
Il-laboratorji kollha (84)- Alibaba Endpoints: 142
- Black Forest Labs Endpoints: 135
- Lightricks Endpoints: 102
- MiniMax Endpoints: 64
- Kling Endpoints: 62
- ByteDance Endpoints: 57
- Bria AI Endpoints: 54
- Stability AI Endpoints: 48
- PixVerse Endpoints: 42
- Google Endpoints: 41
- Ideogram Endpoints: 36
- Tencent Endpoints: 33
- Microsoft Endpoints: 27
- NVIDIA Endpoints: 25
- Meta Endpoints: 24
- Recraft Endpoints: 24
- Vidu Endpoints: 22
- xAI Endpoints: 19
Tgħallem talba waħda. Uża kull mudell.
Parametri unifikati
image, duration u aspect_ratio ifissru l-istess ħaġa fuq kull mudell. L-ismijiet nattivi tal-mudell jibqgħu jaħdmu bħala psewdonimi.
"image": "…", "duration": 5
URL ta’ talba waħda għal kull mudell
Ibdel il-mudelli billi tibdel il-path. L-awtentikazzjoni, il-body u t-tweġiba jibqgħu identiċi.
POST /run/{model_id}
Quote = ħlas
POST /quote/{model_id} jirritorna l-prezz eżatt għall-input tiegħek. Dak huwa li tħallas, qatt aktar.
→ { "credits": 560, "usd": "0.56" }
Fajls miżmuma kemm għandek bżonn
Kull output jiġi kkupjat fil-ħażna tagħna. Żommu għal dejjem għal $0.10 għal kull GB fix-xahar, jew 7 ijiem b’xejn: swiċċ wieħed fil-kont tiegħek, jew għal kull talba.
?storage=permanent | temporary
Format ta’ żball wieħed
Kull falliment isemmi l-parametru, ir-raġuni u link għad-dokumentazzjoni, fuq kull mudell. Input invalidu qatt ma jiġi ċċarġjat.
"param": "duration", "code": "out_of_range"
Baġits għal kull ċavetta + MCP
Illimita n-nefqa għal kull ċavetta, imbagħad agħti dik iċ-ċavetta lil aġent permezz tas-server MCP.
api.doitong.com/v1/mcp
Ħalli lill-aġent tiegħek jagħżel il-mudell, jikkwota l-prezz u jħaddmu
Qabbad Claude, ChatGPT jew Cursor mas-server MCP ta’ Doitong bl-istess ċavetta li tuża għal REST. Kull paġna tad-dokumentazzjoni tiġi wkoll bħala Markdown, sabiex l-aġenti jaqraw eżatt dak li taqra int.
- Kwotazzjonijiet qabel kull tħaddim, sabiex l-aġenti jibqgħu fil-limitu tal-baġit
- L-iżbalji jsemmu l-parametru li l-aġent irid jirranġa
- Verżjoni Markdown ta’ kull paġna għall-kuntest tat-tieqa
Pasteh f’Claude, ChatGPT jew Cursor, imbagħad iddeskrivi x’tixtieq tibni.
Uri l-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.
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer YOUR_API_KEY"
// .cursor/mcp.json
{
"mcpServers": {
"doitong-models": {
"url": "https://api.doitong.com/v1/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
// claude_desktop_config.json
{
"mcpServers": {
"doitong-models": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.doitong.com/v1/mcp",
"--header",
"Authorization: Bearer YOUR_API_KEY"
]
}
}
}
Ħaddmu darba fil-folder tal-proġett tiegħek. L-istess ċavetta Bearer bħall-REST API.
Erġa’ niedi Cursor wara li ssalva. Is-server jidher taħt MCP fis-settings.
Settings → Developer → Edit config, imbagħad erġa’ niedi Claude Desktop. Jeħtieġ Node.js.