getcatalog.ai
Product-data infrastructure for agentic commerce — Catalog structures and enriches merchants' e-commerce product data so AI shopping assistants (ChatGPT, Gemini, Claude) can discover and recommend their products. WebMCP tools (served via the AgentLane snippet) let an agent book a demo and navigate to the API page, API docs, blog, about, and careers.
First seen 2026-08-17 · Last seen 2026-10-19 · Source: webmcp.com
Answer 4 · Act 6 · Transact 1 · Score: Not yet scored
Tool inspector
request_product_audit
Submit a request for a free audit of how AI systems read a brand's product data. Sends the contact details to the Catalog team, who reply by email with the audit. Side effect: shares name, email, and brand site with Catalog — only call after the user has explicitly agreed to that. Free; no payment involved.
Page: /
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
name |
string | yes | The requester's name. |
email |
string | yes | Email address the Catalog team should reply to. |
brandUrl |
string | yes | The brand's site to audit, e.g. 'yourbrand.com' or a full URL. |
Raw JSON schema
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The requester's name."
},
"email": {
"type": "string",
"description": "Email address the Catalog team should reply to."
},
"brandUrl": {
"type": "string",
"description": "The brand's site to audit, e.g. 'yourbrand.com' or a full URL."
}
},
"required": [
"name",
"email",
"brandUrl"
]
}
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