API reference · Home Depot

home-depot/product

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

APIAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/api/home-depot/product

Model IDhome-depot/product

Input Schema

4 parameters · 1 required · 3 optional

Parameter	Type	Required	Description
`product_id`	stringnumberboolean	Required	The Home Depot identifier of a product. Only Product IDs gathered from the Home Depot US are supported.
`store_id`	stringnumberboolean	Optional	Store ID to filter the products by the specific store only.
`delivery_zip`	stringnumberboolean	Optional	ZIP Postal code. To filter the shipping products by a selected area.
`json_restrictor`	stringnumberboolean	Optional	The fields you want to include in the output, reducing payload size for faster response. See the JSON Restrictor documentation for more details.

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/api/home-depot/product", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({}),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());

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