OpenShopGraph
OpenShopGraph is an independent, open online-shop directory that lets buyers and AI assistants check source-dated facts before purchase, including returns, shipping, payment methods, company details and coupon-code results. Its stated goal is to replace SEO-driven, paid-placement shopping search with observable signals and transparent evidence.
At a Glance
- Online shoppers
- AI assistants and AI-shopping developers
- E-commerce data and automation developers
- Researchers and analysts studying online-shop policies and coupon performance
AI Tools by OpenShopGraph
(1)
OpenShopGraph
Online Shop Data API and MCP
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Latest News
Verification feed updated with 8,841 test runs in the prior 30 days and latest checkout outcomes
OpenShopGraph listed on TinyLaunch as a forthcoming product launch for source-dated shop facts for buyers and AI agents
OpenShopGraph published its developer API documentation for REST tools and the public MCP server
OpenShopGraph published its AI-agent integration guide and MCP client configuration
Products & Services
A curated directory of online shops with source-linked, date-stamped records covering company/imprint details, payment options, shipping and returns, domain/hosting signals and coupon-code status.
An API at api.openshopgraph.com exposing shop search, category listing, shop profiles, coupons and policy/shipping lookups through POST /tool/* endpoints; read calls are available without a key within fair use.
A public streamable-HTTP MCP endpoint at https://api.openshopgraph.com/mcp that allows compatible assistants to search shops, retrieve policy facts and list coupons.
A directory capability that tests listed discount codes in real carts and keeps distinct outcomes for applied, rejected, blocked and inconclusive tests.
Market Position
OpenShopGraph positions itself against SEO content farms, conventional coupon sites that leave dead codes online, and paid or sponsored shop rankings. Its differentiators are source-dated evidence, transparent checkout verification, no paid placement and machine-readable API/MCP delivery; it is an open shop-information and verification layer rather than a product catalog, price-comparison engine or review-score site.
Leadership
Founders
Konrad Elias Fröhlich
Founder and operator of OpenShopGraph; his public LinkedIn profile describes him as working in project and organizational development, and lists earlier work as a student assistant at the CDU parliamentary group in Bremen.
Executive Team
Konrad Elias Fröhlich
Founder and operator
Project and organizational-development professional; public profile also lists student-assistant work at the CDU parliamentary group in Bremen.
Founding Story
OpenShopGraph says it was founded in March 2026 in Germany and is bootstrapped and independent. It was started in response to content farms, deliberately dead coupon codes and paid rankings that can make shopping search unreliable; the initial vision was a checked, source-linked record for each shop, built and operated with Claude Code agents and made available to AI assistants through a public MCP server.
Business Model
Revenue Model
Reading the directory and the six open read tools is free and requires no account or API key within fair-use limits. OpenShopGraph says it sells no placements or sponsored rankings and uses plain, untracked shop links; it labels pages as advertising as a precaution because it cannot verify whether a commission is earned on a shop link or coupon code. Higher API quotas require a token requested by email.
Pricing Tiers
Directory, public shop lookups and six open read tools are available without an API key within fair use.
An API token can be requested from info@openshopgraph.com; the site does not publish a self-service price.
Target Markets
- Online shoppers
- AI assistants and AI-shopping developers
- E-commerce data and automation developers
- Researchers and analysts studying online-shop policies and coupon performance
- Consumers checking a shop's return window, shipping terms, payment options and trust-relevant signals before buying
- AI shopping assistants retrieving citable, structured shop facts
- Developers integrating shop lookup and coupon data through REST or MCP
- Researchers studying return policies, payment methods and coupon-code effectiveness