Tripo3D Segment
Integrar
tripo3d/tripo/segment
# 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/tripo3d/tripo/segment?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"mesh_url": "https://example.com/your-file.glb"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/tripo3d/tripo/segment?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"mesh_url": "https://example.com/your-file.glb"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"mesh_url": "https://example.com/your-file.glb",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/tripo3d/tripo/segment", 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"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/rm/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "tripo3d/tripo/segment",
"input": {
"mesh_url": "https://example.com/your-file.glb"
}
}
Cloma il model Tripo3D Segment (tripo3d/tripo/segment) tras la Doitong API. Documentaziun per agents: https://doitong.com/rm/developers/models/tripo3d/tripo/segment.md
POST https://api.doitong.com/v1/run/tripo3d/tripo/segment?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"mesh_url": "https://example.com/your-file.glb"
}
Sche il status da la resposta è "queued" u "running", fa polling GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 fin ch'el è "succeeded"; las datotecas èn en outputs[].url. POST https://api.doitong.com/v1/quote/tripo3d/tripo/segment cun il medem body returna il pretsch exact avant l'execuziun.
Questa dumonda: ≈$0,40 400 credits API Lantschar sin questa pagina
Tia nova clav API. Quest vegn mussada mo ussa ed è gia en il code ed en il champ da la clav API sutvart. Mantegna ella secreta: na la metta mai en code che vegn exequì en in navigatur.
Tes emprim resultat vegn qua
Construis ina dumonda sutvart e l'exequescha cun tia clav API. Outputs vegnan copiads en nossa memorisaziun, conservads per adina u 7 dis gratuitamain.
Construir ina dumonda
Ils controls vegnan generads dal schema dal model. Il code e il pretsch s'actualiseschan durant che ti als midas.
/run/tripo3d/tripo/segment?wait=20
calculaziun → $0,40
# 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/tripo3d/tripo/segment?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"mesh_url": "https://example.com/your-file.glb"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/tripo3d/tripo/segment?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"mesh_url": "https://example.com/your-file.glb"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"mesh_url": "https://example.com/your-file.glb",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/tripo3d/tripo/segment", 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"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "tripo3d/tripo/segment",
"input": {
"mesh_url": "https://example.com/your-file.glb"
},
"wait_seconds": 20
}
}
}
Executar questa dumonda
Tia clav resta en quest browser: ella vegn tramessa mo al Doitong API e memorisada (localStorage) mo sch'ella scheccas Tiar a memoria. Obtegnair ina clav API
Davart Tripo3D Segment
Accepta ina mesh da `mesh_url` (GLB, OBJ, FBX u STL, fin 150MB) e la divida en parts. Il resultat è in model segmentà, ina visualisaziun da prevista ed ina glista `part_names` sch'ella è vegnida rapportada. Quests nums pon vegnir transmess al model remesh per mantegnair las parts separadas. El na dovra naginas autras configuraziuns.
Parameters
mesh_urlobligatori
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "tripo3d/tripo/segment",
"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": 400,
"usd": "0.40",
"charged": 400,
"refunded": 0
},
"input": {
"mesh_url": "https://example.com/your-file.glb"
},
"output": {
"model_mesh": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"model_urls": {
"glb": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"fbx": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"base_model": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"pbr_model": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
}
},
"part_names": [
"string"
],
"rendered_image": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
}
},
"outputs": [
{
"type": "file",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Champs da l'output
- model_mesh
- object {url, content_type, file_name, file_size}Datoteca 3D segmentada, cun il format dependent da quai che Tripo restituescha: GLB u FBX.
- model_urls
- object {glb, fbx, base_model, pbr_model}URLs che mussan sin variantas 3D alternativas dal model segmentà.
- part_names
- array of stringIdentificaders da parts utilisabels sco «part_names» en ina dumonda da remesh per mantegnair quellas parts separadas. Quels nums vegnan inclus mo sche Tripo als rapporta durant la segmentaziun.
- rendered_image
- object {url, content_type, file_name, file_size} | nullPrevisualisaziun renderisada che mussa il model 3D segmentà.
Autras variantes Tripo3d
Dapli models: 3D
Per agents AI: questa pagina sco Markdown è disponibla sut https://doitong.com/rm/developers/models/tripo3d/tripo/segment.md. Tut ils models e las guidas: https://doitong.com/developers/llms.txt