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Notis

Turn mesh metadata into a quick summary

Get the useful numbers from a mesh payload at a glance, so reviewing model output takes less effort.

Trigger

Webhook received

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

Action

Execute Code

Execute python code in a sandbox and return any result, stdout, stderr, and error. use /home/user folder to write/read files. try to not use plt.show() as the code is executed remotely. use files for image/chart output instead.

Why this helps

Mesh details can be scattered across technical output that is slow to scan when you are switching tasks.

  • Highlights dimensions and counts when the payload includes them.
  • Keeps a repeatable summary format across incoming assets.
  • Makes a quick review easier without opening a separate analysis notebook.

Setup

Build it in a few focused steps.

  • 1Connect Tripo3D and Codeinterpreter to Notis once in the portal.
  • 2Create the automation in the portal, or ask Notis conversationally to set it up.
  • 3Write one plain-language instruction asking Codeinterpreter to summarize mesh metadata included in incoming webhook requests and identify any absent values.
  • 4Select an incoming webhook trigger and choose where Notis should report runs.
  • 5Send one real metadata payload to check the summary.

Questions about this workflow

Does the workflow inspect a model file automatically?

It summarizes metadata supplied in the webhook payload. Include the values or file access details your process makes available.

Can it flag missing metadata?

Yes. Ask the prompt to list expected properties that are absent from the supplied payload.

When this happens · Trigger

Do this · Action

Supported Triggers and Actions

Notis builds workflows that link Tripo3D to Codeinterpreter. A trigger fires from one place; an action lands in another.

Tripo3D triggers

Codeinterpreter actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Create Sandbox

Create a sandbox to execute python code in a jupyter notebook cell. this is useful for agents to communicate, execute code, see output, read files, write files, etc. it's like you own personal computer, but in the cloud. use /home/user folder to write/read files.

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Execute Code

Execute python code in a sandbox and return any result, stdout, stderr, and error. use /home/user folder to write/read files. try to not use plt.show() as the code is executed remotely. use files for image/chart output instead.

ActionInstant

Get File

Get a file from the sandbox and returns the file. the files should be read from /home/user folder.

ActionInstant

Run Terminal Command

Run a command in the terminal and returns the stdout, stderr, and error code. use /home/user folder to write/read files.

ActionInstant

Upload File

Upload a file to the sandbox environment. the files should be uploaded to the /home/user folder.

ActionInstant

Connect any two apps with Notis in the middle.

Tripo3D and Codeinterpreter, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

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