# Asset Panda integrations: collections

> Create records in Asset Panda. Connect Asset Panda to the rest of your IT stack with Tray.ai.

**Canonical page:** https://tray.ai/connectors/asset-panda-integrations/
**Categories:** IT
**Connects through:** HTTP Connector

## Overview

Asset Panda is asset tracking software that keeps records of equipment, devices, and other company property in collections that each business sets up for itself. Tray.ai connects to Asset Panda through the HTTP Connector, so your workflows can call the Asset Panda API alongside the rest of your stack.

## Use cases

### Collections

Read collections in Asset Panda from any Tray.ai workflow. The Asset Panda API covers calls such as list collections and get collection details.

- List collections
- Get collection details
- Get collection columns

### Collection records

Read, create, update, and delete collection records in Asset Panda from any Tray.ai workflow. The Asset Panda API covers calls such as search records and get a record.

- Search records
- Get a record
- Create records

### Accounts

Read accounts in Asset Panda from any Tray.ai workflow. The Asset Panda API covers calls such as list accounts and get account details.

- List accounts
- Get account details

### Modules

Read modules in Asset Panda from any Tray.ai workflow. The Asset Panda API covers calls such as list modules and get module details.

- List modules
- Get module details

## Challenges Tray.ai solves

### Keeping Asset Panda credentials out of logs

A raw API call usually means pasting a key or token into the request, where it ends up in step inputs, logs, and screenshots.

**How Tray.ai helps:** Store Asset Panda credentials once as a Tray.ai authentication and reference them from the HTTP Connector. Tray.ai masks authentication values in logs, so the secret never shows up in a step's input or output.

### Going from the Asset Panda API docs to a working call

Translating an example request from API docs into a workflow step means copying the method, URL, headers, and body by hand.

**How Tray.ai helps:** Paste a cURL example from the Asset Panda API docs into the HTTP Connector and Tray.ai fills in the method, URL, headers, and body for you.

### Handling files and non-JSON responses

Not every API answers in JSON. Some return XML, files, or binary data, or expect a multipart upload.

**How Tray.ai helps:** The HTTP Connector parses JSON and XML responses, returns files you can pass to the next step, and sends multipart form data for uploads.

## Frequently asked questions

### Does Tray.ai connect to Asset Panda?

Yes. Tray.ai connects to Asset Panda through the HTTP Connector, which calls the Asset Panda API directly. Any call the Asset Panda API documents can run as a step in a Tray.ai workflow.

### How does Tray.ai authenticate with Asset Panda?

The Asset Panda API uses an API key in a request header. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.

### Can I get a dedicated Asset Panda connector?

Asset Panda runs through the HTTP Connector rather than a dedicated connector. If your team wants one, the Tray.ai connector SDK can build a dedicated Asset Panda connector from the Asset Panda API.

## Learn more

- Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/
- Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/
- Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/
- Book a demo: https://tray.ai/contact/