Name: Blender 3D Modeling
Brand: Apoth3osis
SKU: 69c43a6b87d290b84efb81ab
Price: 0.25 USD
Availability: InStock

Blender 3D Modeling

Available Actions

render_turntablerender_viewsrender_customconvert_formatrun_scriptget_tasklist_tasks

Details

Full access to Blender, the industry-standard open-source 3D creation suite, running headless in the cloud. Render stunning images and turntable videos from any 3D model, convert between file formats (GLB, FBX, OBJ, STL, USDZ, DAE, PLY), set up professional studio lighting, and run custom Blender Python scripts — all without installing anything locally. Upload your 3D models and get back production-quality renders, spinning animations, and processed assets. Choose from four lighting presets (studio, product, outdoor, dramatic), render from multiple camera angles at once, or position the camera exactly where you want it. Perfect for game development asset previews, product visualization, architectural walkthroughs, e-commerce 3D photography, 3D printing prep, portfolio showcases, and creative projects of any kind.

Use Cases

Render turntable videos of 3D models for game asset previews, Create multi-angle product shots from 3D models for e-commerce, Convert 3D files between formats like GLB to FBX or OBJ to STL, Generate professional renders with studio lighting for portfolios, Preview 3D-printed models from every angle before printing, Render architectural models with custom camera positions, Create spinning animations of characters or props for social media, Apply dramatic lighting to 3D models for cinematic presentations, Run custom Blender Python scripts for advanced 3D processing, Render 3D models generated by AI tools like Meshy with proper textures and lighting, Convert game assets between Unity FBX and web GLB formats, Generate thumbnail images of 3D models for catalogs and marketplaces

Actions(7)

render_turntable9 params

Generate a spinning turntable video of a 3D model. Returns a task_id immediately — the render runs in the background. Use get_task to check progress and retrieve the download link.

file_urlstring

Public URL of the 3D model file (GLB, FBX, OBJ, STL, DAE, PLY).

file_idstring

AgentPMT file storage ID for the 3D model.

framesinteger

Number of animation frames (12-120).

Range: 12 - 120

duration_secondsnumber

Video duration in seconds (1-30).

Range: 1 - 30

resolutionstring

Resolution: 720p, 1080p, 2k, 4k, or WxH.

samplesinteger

Render quality samples (1-512).

background_colorstring

Background hex color without # (default: 1a1a1a).

lighting_presetstring

Lighting style.

Values:

studioproductoutdoordramatic

elevationnumber

Camera elevation angle in degrees (-45 to 90).

render_views7 params

Render the model from multiple preset camera angles. Returns a task_id immediately.

file_urlstring

Public URL of the 3D model file.

file_idstring

AgentPMT file storage ID.

viewsarray

Views to render: front, back, left, right, top, bottom, 3quarter.

Array of: string

resolutionstring

samplesinteger

background_colorstring

lighting_presetstring

Values:

studioproductoutdoordramatic

render_custom9 params

Render with a custom camera position. Returns a task_id immediately.

file_urlstring

file_idstring

camera_positionarray

Camera [x, y, z] position.

Array of: number

look_atarray

Camera look-at [x, y, z] target.

Array of: number

fovnumber

Focal length in mm (10-120).

resolutionstring

samplesinteger

background_colorstring

lighting_presetstring

Values:

studioproductoutdoordramatic

convert_format4 params(1 required)

Convert a 3D model between file formats. Runs synchronously (returns result immediately).

output_formatrequiredstring

Target format.

Values:

glbfbxobjstldaeply

file_urlstring

file_idstring

apply_transformsboolean

Apply transforms before export.

run_script4 params(1 required)

Execute a custom Blender Python script. Returns a task_id immediately.

scriptrequiredstring

Blender Python script. Has access to bpy, MODEL_PATH, OUTPUT_DIR.

file_urlstring

file_idstring

output_typestring

Values:

imagevideomodelall

get_task1 param(1 required)

Check the status of a render task and retrieve download links when complete.

task_idrequiredstring

Task ID returned from a render action.

list_tasks1 param

List all render tasks for the current user, most recent first.

limitinteger

Maximum tasks to return (1-100).

Range: 1 - 100

curl -X POST "https://api.agentpmt.com/products/purchase" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ********" \
  -d '{
    "product_id": "69c43a6b87d290b84efb81ab",
    "parameters": {
      "action": "render_turntable"
    }
  }'

import requests
import json

url = "https://api.agentpmt.com/products/purchase"

headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer ********"
}

data = {
    "product_id": "69c43a6b87d290b84efb81ab",
    "parameters": {
        "action": "render_turntable"
    }
}

response = requests.post(url, headers=headers, json=data)
print(response.status_code)
print(response.json())

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "69c43a6b87d290b84efb81ab",
  parameters: {
    "action": "render_turntable"
  }
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(data)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

const axios = require('axios');

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "69c43a6b87d290b84efb81ab",
  parameters: {
    "action": "render_turntable"
  }
};

axios.post(url, data, { headers })
  .then(response => {
    console.log(response.status);
    console.log(response.data);
  })
  .catch(error => {
    console.error("Error:", error.message);
  });

Login to view your API and budget keys. The example above uses placeholder values. Sign in to see personalized code with your bearer token.

This tool supports credit-based access for external agents using AgentAddress identities or standard crypto wallets. External agents should use the External Agent API to buy credits with x402 and invoke this tool.

1. Buy Credits

Purchase credits via x402 payment (500 credit minimum, 100 credits = $1).

# Request payment requirements (returns 402 + PAYMENT-REQUIRED header)
curl -i -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
  -H "Content-Type: application/json" \
  -d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'

# Sign the EIP-3009 authorization, then retry with signature header
curl -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
  -H "Content-Type: application/json" \
  -H "PAYMENT-SIGNATURE: <base64-json>" \
  -d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'

2. Create a Session Nonce (nonce used in signed balance/invoke)

curl -s -X POST "https://www.agentpmt.com/api/external/auth/session" \
  -H "Content-Type: application/json" \
  -d '{ "wallet_address":"0xYOUR_WALLET" }'

3. Invoke This Tool

Sign the message with your wallet (EIP-191 personal-sign), then POST to the invoke endpoint.

# Sign this message (wallet MUST be lowercased):
# agentpmt-external
# wallet:0xyourwallet...
# session:<session_nonce>
# request:<request_id>
# action:invoke
# product:69c43a6b87d290b84efb81ab
# payload:<sha256(canonical_json(parameters))>

curl -s -X POST "https://www.agentpmt.com/api/external/tools/69c43a6b87d290b84efb81ab/invoke" \
  -H "Content-Type: application/json" \
  -d '{
    "wallet_address": "0xYOUR_WALLET",
    "session_nonce": "<session_nonce>",
    "request_id": "invoke-uuid",
    "signature": "0x<signature>",
    "parameters": {
      "action": "your_action",
      "your_param": "value"
    }
  }'

About The Developer

Apoth3osis

★15 stars

Joined Agent Payment: August 14, 2025

We build tools that enable AI agents to excel in the mathematical realm.

Our small team develops experimental and unique solutions in the AI arena, with a strong focus on modular computing for agentic applications and custom model deployment. We have handled projects for a variety of applications across many sectors, from algorithmic trading and financial analysis, to molecular simulations and predictions, to habitat and biodiversity monitoring and wildlife conservation.

Blender 3D Modeling

Description