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AgentDiet Shopify Spy — Store Intelligence Endpoint
x402
AgentDiet Shopify Spy — Store Intelligence Endpoint is a paid API for AI agents from mcp-compiler.agentdiet.dev, paid per call via x402 or MPP, $0.01/call, status unknown (last checked 2026-10-20).
Fetches and distills competitive intelligence from a Shopify store URL, returning structured business data with a high compression ratio
Price / call$0.01
Success—
StatusUnknown
How this service works
15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).
Output
Returns a JSON object with a 'data' field containing distilled Shopify store intelligence (products, pricing, store metadata, etc.), a 'status' field indicating success, and an 'roi_proof' object showing the compression ratio percentage (e.g. 91.4%) — meaning the raw store data has been condensed by roughly that amount for efficient agent consumption.
Example use cases
Competitor product pricing research
“Pull competitive intelligence on allbirds.com — I want to know what products they're listing on their Shopify store, their price points, and any other details you can distill from their storefront.”
E-commerce brand discovery audit
“Spy on the Shopify store at fashionnova.com and give me a structured summary of their catalog, brand positioning, and store setup — I'm doing a competitor analysis.”
Pre-partnership Shopify store vetting
“Before we partner with this brand, can you pull a Shopify intelligence report on their store at ruggable.com so I can see what they're selling and how they run their shop?”
Technical details
Endpoint
GEThttps://mcp-compiler.agentdiet.dev/v1/shopify-spy?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC), pre-distilled competitive intelligence snapshot of any Shopify storefront — especially when you want the data already compressed and structured for agent consumption rather than raw HTML. Prefer this over general web scraping when the target is specifically a Shopify store, since it is tuned for that platform's structure. Best for competitive research, partner vetting, or market analysis workflows where you need quick structured store data without building a custom scraper.
Side effects
- Invalid or non-Shopify store URL returns empty or error data payload
- Store URL is not a Shopify store (no Shopify backend detected), resulting in empty data
- Rate limiting or payment failure (HTTP 402) if USDC payment is not attached
- Store is password-protected or geo-restricted, preventing data extraction
- Malformed store_url parameter causes a validation error
- Shopify store has anti-scraping measures that block extraction
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
}Tags
x402
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