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AgentDiet Shopify Spy – Web Distillation Endpoint
x402
AgentDiet Shopify Spy – Web Distillation Endpoint is a paid API for AI agents from agentdiet-72343955726.us-central1.run.app, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-14).
Fetches and distills a Shopify store or web page into clean, compressed agent-ready markdown, stripping noise and reducing token consumption by up to 95%.
Price / call$0.02
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 the page title and distilled markdown content, plus an 'roi_proof' object showing raw token count, distilled token count, tokens saved, compression ratio percentage, and ROI multiplier — typically achieving 90–95%+ compression.
Example use cases
Competitor Shopify store analysis
“Spy on this Shopify store at https://examplestore.myshopify.com and give me a distilled markdown summary of what they sell and how they position themselves — I want the key info without all the HTML noise.”
Agent product research pipeline
“I'm building an agent that needs to read dozens of Shopify product pages efficiently — can you distill https://brandxstore.com/products/widget into compressed markdown so the agent doesn't blow its context window?”
E-commerce content audit
“Pull the content from this Shopify storefront at https://myshop.myshopify.com and give me a clean, token-efficient markdown version so I can audit the copy and product descriptions.”
Technical details
Endpoint
GEThttps://agentdiet-72343955726.us-central1.run.app/v1/shopify-spy?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to read a Shopify store or any web page in a token-efficient way for an AI agent pipeline. It is especially valuable when processing many pages in sequence (to preserve context window), when you want structured markdown rather than raw HTML, or when you need quantified proof of token savings. Prefer it over generic web scrapers if you want agent-ready output with built-in compression metrics.
Side effects
- Target URL is not publicly accessible or requires authentication — returns error
- Shopify store is behind a bot-protection layer (Cloudflare, etc.) — may return empty or partial content
- Invalid or malformed URL input — returns validation error
- Rate limiting or upstream fetch timeout — may return 5xx error
- Page content too sparse to distill — returns minimal markdown with low ROI metrics
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"mode": "markdown",
"title": "Example Documentation",
"content": "# Example Documentation\nClean agent-ready markdown..."
},
"status": "ok",
"roi_proof": {
"raw_tokens": 14200,
"tokens_saved": 13520,
"roi_multiplier": 67.6,
"distilled_tokens": 680,
"compression_ratio_pct": 95.2
}
}
}Tags
x402
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