AI platforms generate hundreds of billions of product queries every month — and frequently answer them by scraping, guessing, and approximating. MasterDB is the infrastructure layer that changes that.
AI is rapidly becoming the primary way consumers discover and buy products. But ask any AI assistant for a product recommendation and it answers confidently — returning results that are out of stock, mispriced, or no longer exist.
This isn't a model problem. It's an infrastructure problem. LLMs and AI agents have no authorised directory of where merchant product data lives. Product discovery is hit-and-miss: AI systems make their best guess at what exists, where to find it, and whether it is current.
Where AI systems do find product data, they find it on websites — and websites are an unreliable source at scale. Many are blocked to automated access. Many are behind paywalls. The data powering AI commerce is, in large part, taken rather than given.
As query volumes reach trillions, the compounding effect on global network infrastructure will degrade the experience for every consumer and every brand. The current infrastructure is not just inadequate for agentic commerce — it is structurally unfit for it.
Publish live inventory, pricing, and product data to the MasterDB Public Catalogue — a single authorised data store that is always current and always accurate.
AI companies — operating LLMs and AI agents — query the MasterDB Public Catalogue through authenticated APIs, replacing unreliable scraping with structured, authorised, real-time data.
Receive accurate product and availability information in real time — from AI systems that no longer need to guess. Instant answers. No stale data. No failed recommendations.
The MasterDB Public Catalogue is a single database designed to ingest, store, index, and manage billions of products from millions of merchants worldwide. Built for millisecond search and retrieval — and engineered to serve the needs of real-time product inventories for AI commerce.
Designed to minimise latency at both ends — for merchants publishing real-time product data, and for AI companies querying it. Database instances located in the same regions as the world's largest LLM inference clusters, with planned edge nodes embedded directly within telecoms networks.
The EU AI Act and the EU Data Governance Act are reshaping what it means to build and operate AI systems in Europe. Compliance isn't something you retrofit into a product — it has to be part of the architecture. MasterDB is designed from the ground up with that in mind.
The current approach to AI commerce data — scraping, approximating, and using merchant data without authorisation — is structurally incompatible with where EU regulation is going. MasterDB replaces that with something different: a fully authorised, documented, and auditable data channel connecting merchants and AI companies.
For merchants, that means control. You decide what data you publish, who can access it, and on what terms. Your data moves through a single authorised channel — not scattered across dozens of scrapers operating outside your visibility. MasterDB gives you the oversight and consent architecture that EU data regulation expects data owners to have.
For AI companies, that means confidence. When your LLMs and AI agents query MasterDB, every transaction carries a complete end-to-end audit trail. You know exactly where the data came from, that the merchant authorised its use, and that it was current at the moment of retrieval. That's the kind of data provenance, data quality evidence, and governance documentation the EU AI Act requires AI system operators to be able to demonstrate.
MasterDB gives merchants a single, controlled point through which their product data enters the AI ecosystem. Full visibility over who accesses your data and on what terms — the consent and oversight architecture EU data regulation requires.
Because MasterDB does not alter or reformat merchant data, and stores it exactly as submitted, merchants retain clear ownership and an unambiguous record of what was published. No interpretation, no transformation, no uncertainty about what was shared.
Every query transaction through MasterDB carries a complete, verifiable record of data origin, authorisation, and retrieval timestamp. AI companies can demonstrate data provenance and data quality on every product interaction — exactly what the EU AI Act asks for.
Querying MasterDB means querying data that merchants have explicitly chosen to make available. No scraping ambiguity. No question of whether the data was authorised. The answer is always yes — and it's documented.
Why a flat rate? MasterDB is neutral infrastructure. A single price for every AI company keeps the playing field level — the same access, the same data, the same terms, regardless of who you are or how large you are.
One integration replaces thousands of fragmented platform relationships. For the first time, LLMs and AI agents can reliably recommend your products accurately and in real time to consumers who are ready to buy.
Authorised, real-time data replaces costly scraping. LLMs and AI agents answer faster with less computation because they are no longer guessing — reducing GPU burn at every query.
Real-time recommendations consumers can act on immediately. No out-of-stock products. No wrong prices. No broken links. Accurate answers from AI that knows what's available right now.
Every AI platform independently crawling the same merchant data is a growing and unnecessary burden on global networks. MasterDB replaces billions of redundant crawls with a single, efficient, authorised feed.
Whether you're a merchant ready to publish or an AI company looking to query, get early access when MasterDB launches.
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