Shopify Store Intel – App-Stack Discovery is a paid API for AI agents from agent-data.centorprat.workers.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-28).
Search a high-traffic Shopify store index by installed apps, missing app categories, country, niche keyword, and estimated app spend to surface stores with contact info and tech-stack gaps.
Pay-per-call data and tools for AI agents, $0.002-0.01 per call in USDC via x402 (Base, Polygon or Solana), no account or API key; MAX tiers ($0.05-0.25) run deeper jobs. Agent toolkit: web search, search + read top pages, any page as clean markdown with a prompt-injection check, which-x402-API-to-call recommender, seller check. Data: Google Maps places with contacts, YouTube video data and transcripts, job listings (Indeed, LinkedIn, 13 boards), Google Ads Transparency, TikTok comments, Pinterest, Airbnb, Redfin, AliExpress, app stores, live sports, website and SEO checks, Shopify store tech stacks, and onchain token / address risk checks.
Returns up to 50 Shopify stores per call (most-visited first), each with store name, full list of detected installed apps (435+ known apps across 31 categories), app category gaps, estimated monthly app spend in USD, catalog size tier, country, and any publicly available contact information.
GEThttps://agent-data.centorprat.workers.dev/shopify/stores?utm_source=zero.xyzUse this endpoint when you need to discover multiple Shopify stores that meet specific tech-stack criteria — e.g., for sales prospecting, partnership identification, or competitive research. Prefer this over the single-store Shopify intel endpoint when you need a filtered list rather than deep analysis of one known store. Best suited for outbound sales tools, agency lead generation, or market research workflows where app-stack gaps and spend estimates are the primary signal.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"stores": [
{
"apps": [
"Klaviyo",
"Judge.me"
],
"gaps": [
"loyalty"
],
"domain": "example.com",
"country": "US",
"estimatedMonthlyAppSpendUsd": 220
}
],
"matches": 412
}
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