UCP Solved the Transaction Protocol.
DaaX LAKEer Solves the Trust Problem.
"Catching an ungrounded claim prevents an unnecessary refund."
AI agents can now discover, check out, and transact on your customers' behalf through the Universal Commerce Protocol (UCP). But when an agent gets an answer wrong — a price, a warranty, a compatibility claim — it doesn't just answer wrong. It buys wrong.
DaaX LAKEer is the trust layer for B2B and B2C agentic commerce: every product answer grounded in a DaaX 3D graph and verified before your agent acts on it.
DaaX SQLer connects that trust layer to your live systems: inventory, order, and pricing questions answered straight from the tables that back cart and checkout — never from a stale export.
Verified Before It Transacts
UCP agent example: A shopping agent asks a product question. LAKEer checks it against Product Datasheets, Warranty Terms, Supplier Agreements, etc. before the agent commits.
"Find a compatible charging dock for the ProBook X4 and order 200 units at our contract price."
Every price, warranty, and compatibility claim is grounded in a typed commerce ontology — then the agent transacts.
LAKEer + UCP delivers for your business
At the storefront
- More completed agent sales
Agents transact when they can verify. Constraint-heavy queries resolve to real SKUs instead of dead ends.
- Fewer returns and chargebacks
Claims are checked before checkout, so shoppers get what the agent promised them.
- Audit-ready answers
Every answer carries its sources. Compliance and legal exposure drop instead of compounding.
- Lower cost to serve
Top accuracy on a small, inexpensive model. Your token bill stops scaling with your ambition.
In the back office
LAKEer and SQLer working together — see The Seam below for details.
- Recovered leakage
Unclaimed carrier SLA penalties, missed rebate tiers, and duplicate sourcing are money already on the table — recovered when contracts and live data are finally joined.
- Protected supplier terms
Minimum-advertised-price breaches caught by you, rather than by the supplier who funds your co-op dollars.
- Faster regulated response
Recall reach and compliance exposure computed in hours instead of days, with every hop traceable.
- Analyst time returned
The quarterly contract-versus-spreadsheet exercise becomes a question anyone can ask in plain language.
One Wrong Answer, One Wrong Transaction
UCP was launched in January 2026 with industry leaders including Google, Shopify, Etsy, Wayfair, Target, and Walmart, and endorsed by more than 20 others across the ecosystem — Adyen, American Express, Best Buy, Flipkart, Macy's Inc., Mastercard, Stripe, The Home Depot, Visa, and Zalando. It establishes a common language for AI agents to transact across the full shopping journey: discovery, checkout, and post-purchase support.
UCP solves the transaction protocol. It says nothing about whether the answers agents transact on are true.
The agent's query:
"Find a compatible charging dock for the ProBook X4 and order 200 units at our contract price."
Flat catalog lookup
Keyword-matches "ProBook dock" against product titles. Returns the X3 dock — the bestseller. Applies list price, not contract price. The agent orders 200 wrong units at the wrong price.
LAKEer verified answer
Traverses typed compatibility relationships (gr:QualitativeValue) in the DaaX 3D Graph: the X4 requires the Gen-2 dock. Validates the buyer's contract tier against gr:PriceSpecification. Verifies the answer, then returns it. The agent orders the right dock at the right price.
The difference isn't retrieval quality. It's that LAKEer reasons over structured knowledge and verifies before your agent acts.
UCP Use Cases for LAKEer
LAKEer works behind every stage of the UCP agent journey — from the catalog feed to post-purchase support.
Before the storefront
Product catalog normalization
During discovery
Natural-language product discovery
Building the cart
Dynamic bundling and recommendation
Inventory and order queries
After the sale
Post-purchase support grounding
How It Works
Curate
Catalogs, contracts, policies, and SOPs are ingested by LAKEer; entities, attributes, and tables are extracted with provenance retained from the first step.
Fuse
Everything resolves into the DaaX 3D Graph — one identity per vendor, SKU, party, and clause — aligned to GoodRelations and to your company’s own language.
Reason
Intent is decomposed and retrieval runs across six channels fused by reciprocal rank fusion — vector, keyword, graph traversal, semantic unit, table, and entity — with the graph traversed for typed relationships and live systems queried through SQLer.
Verify
ClaimGuard checks each claim in the drafted answer against its sources before the answer is returned. Unsupported claims are repaired or refused, not softened.
Fits Your Stack — and UCP When You’re Ready
Everything above runs against your stack as it is today — PIM, ERP, inventory, orders, contracts — whether or not you’ve adopted UCP. LAKEer exposes an MCP interface, so UCP integration is a thin adapter over what already exists, not a re-platform: when you’re ready for agentic commerce, the same graph, the same verification, and the same answers plug into the protocol.
Every customer runs an isolated single-tenant instance with per-tenant storage and scoped access, deployed on your cloud account or ours. And the whole system is model agnostic: it runs on whichever LLM you already license, and swapping models does not rebuild your knowledge — the cartridge and the resolved graph are your asset, portable across models and vendors.
What LAKEer Does in the UCP Stack
The Truth Layer UCP Doesn't Have
UCP gives agents the ability to transact. DaaX GoodRelations gives those transactions semantic meaning. LAKEer gives them factual grounding and makes them verifiable.
Plug the DaaX Agentic Commerce Cartridge into LAKEer at setup, connect via MCP, and every agent answer is checked against your DaaX 3D graph before it's returned.
UCP Catalog Capability Server
UCP's Catalog capability exposes product details to shopping agents — but a typical Catalog endpoint returns flat key-value attributes. Essentially a spreadsheet lookup.
LAKEer answers from graph traversal and semantic search instead: gr:Offering, gr:PriceSpecification, and gr:WarrantyPromise are typed vertices in the DaaX 3D Graph, so agents asking for "compatible accessories" or "acceptable substitutes" get reasoned answers, not keyword hits.
Pre-Authorization Verification
UCP agents commit purchases on behalf of humans — and the current UCP stack doesn't verify that the price, warranty, or loyalty offer is factually accurate at the moment of transaction.
LAKEer sits between your agents and checkout as a pre-authorization verification layer: Does the presented price match gr:PriceSpecification? Is the warranty claim consistent with actual gr:WarrantyPromise terms? Is loyalty eligibility real, or stale? Only verified transactions proceed.
Beyond the Storefront
The same cartridge powers the document side of commerce's back office.
LAKEer use cases beyond the storefront
Query seller agreements and listing requirements for marketplace onboarding. Cross-reference recall notices against affected SKU lists and notification obligations. Resolve region-specific VAT and import rules for cross-border sales. Search carrier agreements and delivery SLAs in plain language.
Run M&A and vendor due diligence across data rooms, supplier diligence packs, and integration playbooks — all exposed as MCP tools for internal teams and AI agents.
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The Seam
Answers That Live Between Your Contracts and Your Live Data
Some of the most expensive questions in commerce go unanswered — not because the data is missing, but because it lives on two sides of a seam. The rule is in a document: a supplier agreement, a carrier contract, a regulation, worded differently in every one. The exposure is in live data: promo tables, delivery scans, purchase ledgers, listings — changing hourly.
Today, answering one of these questions is a person with a contract PDF open beside a spreadsheet, checked once a quarter if at all. Document search answers the first half. Text-to-SQL answers the second. Neither answers the question — and stapling the two tools to an agent doesn't either. A SQL tool never read the agreement, so it doesn't know a rule exists. The contract says “Acme Logistics Inc.,” the ERP says vendor 4471, the catalog says “ACME-LOG” — without resolved identity, the join is a guess, made silently. And knowing the clause and knowing the table is not the same as applying one to the other across 40,000 SKUs.
LAKEer and SQLer close the seam through the DaaX 3D Graph — an entity-resolved layer that gives every vendor, SKU, party, and clause one identity across the catalogs, contracts, and ledgers that each name it differently. Commerce semantics come from GoodRelations plus your company's own language cartridge, so “loyal customer” and “year” mean what your business means by them. And every edge carries provenance, so an answer traces back to the clause and the row that produced it. See the neuro-symbolic engine behind it.
MAP compliance sweep
“Which of our live promotions are breaching minimum-advertised-price clauses in our supplier agreements right now?”
Channel conflict and lost supplier terms, caught before the supplier catches them.
Unclaimed SLA penalties
“What penalties are our carriers liable for this quarter under their contracted service levels?”
The output is an invoice — money already owed to you that nobody has the hours to compute.
Rebate & tier tracking
“Are we on pace to hit the volume tier in our supplier agreement — and what's the gap?”
A year-end surprise becomes a purchasing decision you can still act on.
Recall blast radius
“Which SKUs are affected by last month's recall, who received them, and what must we notify?”
Hours instead of days, with every hop traceable to its source.
Live regulatory exposure
“Which SKUs currently listed in Germany lack the documentation GPSR requires?”
Blocked shipments, fines, and delisting are all downstream of not knowing this number.
Duplicate-source arbitrage
“Are we buying the same component from three vendors at three different prices?”
Consolidation savings that only appear once identity is resolved.
Developer Deep Dive
Extended technical walkthroughs for engineers building UCP agents on top of LAKEer.
LAKEer: Trust Layer for B2C UCP Agentic Commerce
How LAKEer grounds consumer shopping agents — catalog semantics, price and warranty verification, and claim checks before checkout.
LAKEer: Trust Layer for B2B UCP Agentic Commerce
Technical deep dive for B2B procurement agents — contract pricing, supplier agreements, compatibility rules, and pre-authorization verification. Video coming soon.
LAKEer integrates with UCP as a vendor-defined verification extension over MCP, exposing one stable tool that agents call before checkout. Read the Technical Note: LAKEer and UCP Architecture for full technical details.
Why GoodRelations
GoodRelations is a formal OWL DL ontology, authored by Martin Hepp, for describing commercial transactions on the web. Since 2012 it has been largely absorbed into Schema.org — making it the de facto Agentic Commerce data model behind rich snippets for products, pricing, and availability.
Why this matters
- A real domain ontology, not a data-management schema retrofitted for AI — typed classes, typed properties, explicit domain/range constraints.
- Agents reason in the same vocabulary the open web already uses to describe offers, prices, warranties, and delivery.
- Your documents already speak it: datasheets, vendor quotes, purchase orders, price lists, supplier agreements, warranty schedules — a corpus waiting to be extracted into the DaaX 3D Graph.
- And it's built to be extended — the DaaX Agentic Commerce Cartridge adds enterprise-grade relationship types on top without breaking the shared vocabulary.
DaaX GoodRelations Extensions
Built on GoodRelations and extended with enterprise-grade relationship types. Every edge below is a typed, queryable relationship in our DaaX 3D graph.
gr:OfferingThe core commerce entity linking all other concepts.
gr:PriceSpecificationContract pricing, tier conditions, currency, VAT — verified by LAKEer at checkout.
gr:WarrantyPromiseScope, duration, and coverage. LAKEer validates warranty claims before the agent commits.
gr:QualitativeValueCompatibility and substitutability relationships — critical for B2B parts procurement.
gr:BusinessEntityTypeB2B buyer/seller classification enabling contract-aware transactions.
gr:DeliveryChargeSpecificationRegion, method, and eligibility for fulfillment commitments.