AkiiAkii
  • Platform
    Commerce GraphKeep services, offers, rules, and sources in one approved place.Agent GatewayPublish the facts AI and partner systems are allowed to read.Action RegistryMap each offer to the right booking, quote, call, WhatsApp, or checkout path.Answer QACatch wrong facts and broken customer paths before they cost demand.Protocol CompatibilityCheck readiness for ACP, UCP, MCP, A2A, AP2, and agent UI flows.ACP ReadinessCheck seller facts, prices, rules, offers, and next steps.
  • Resources
    Solutions overviewStart with the client problem, then see the Akii page built for it.DocsRead practical guides for Commerce Graph, Agent Gateway, and readiness.BlogPractical notes on client data, buyer paths, and AI. No prophecy required.FAQStraight answers for buyers, teams, agencies, and partners.ResearchNotes on agent commerce, action paths, checks, and sources.
  • Company
    AboutSee what Akii is building, why it exists, and who is behind it.ContactTell Akii what you are trying to fix.
  • Pricing
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AkiiAkii

Platform

Commerce GraphKeep services, offers, rules, and sources in one approved place.Agent GatewayPublish the facts AI and partner systems are allowed to read.Action RegistryMap each offer to the right booking, quote, call, WhatsApp, or checkout path.Answer QACatch wrong facts and broken customer paths before they cost demand.Protocol CompatibilityCheck readiness for ACP, UCP, MCP, A2A, AP2, and agent UI flows.ACP ReadinessCheck seller facts, prices, rules, offers, and next steps.

Resources

Solutions overviewStart with the client problem, then see the Akii page built for it.DocsRead practical guides for Commerce Graph, Agent Gateway, and readiness.BlogPractical notes on client data, buyer paths, and AI. No prophecy required.FAQStraight answers for buyers, teams, agencies, and partners.ResearchNotes on agent commerce, action paths, checks, and sources.

Company

AboutSee what Akii is building, why it exists, and who is behind it.ContactTell Akii what you are trying to fix.
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Verified client data

One client. One approved set of facts.

Commerce Graph holds what a client sells, where it is available, what the rules are, and what customers can do next. AI gets the approved version instead of guessing.

Build a client Commerce GraphView live demo endpoint
7
Graph domains
Identity, locations, offers, policies, sources, actions, MCP
3
Publish states
Draft, approved, published
Required
Evidence model
Every critical client claim can carry source context

Product preview

Private Dining, Dubai

Published

Published graph version with approved entities and source-backed action paths.

/businessClient identityReady
/locationsHours, service areas, contactsReady
/offersMenus, packages, pricesReady
/actionsBooking and inquiry pathsReady
/sourcesWebsite, PDF, listing evidenceReview
Restaurant and private dining template
Approved public and private fields
Graph versions tied to endpoints and tests
Platform layer

What this part of Akii actually does

Each part has one job: make client facts, buyer paths, or checks clear enough for AI and people to use.

AI-verifiable client facts

Structure client identity, locations, products, services, offers, packages, prices, policies, availability, and customer action paths.

Approval before publication

Review, approve, publish, compare, and roll back graph versions so AI systems only receive the client facts you trust.

Source evidence

Attach claims to website pages, menus, listings, partner feeds, APIs, PDFs, or approved third-party sources so AI can verify what is true.

Public and private fields

Keep internal notes and partner-only details separate from approved public output while still giving AI a clean way to read the client.

Workflow

From scattered facts to one reliable graph

Start with the client facts as they are. Turn them into approved data, clear customer paths, checks, and fixes.

1
Source inventory

Collect client facts

Import the website, menus, PDFs, public listings, partner feeds, and approved internal notes.

2
Draft graph

Normalize into entities

Map facts into business, location, offer, policy, source, and action fields with owners and confidence.

3
Published graph version

Approve and publish

Review changes, resolve conflicts, publish a version, and expose only approved fields to endpoints.

4
Fix queue

Monitor for drift

Use endpoint checks and Answer QA to find stale facts, missing fields, and source conflicts.

How it works

The facts that belong in the graph

The inputs and outputs stay visible, so the agency, client, and AI systems can use the same approved facts.

AreaInputOutput
Client identityLegal name, display name, categories, service regions, contact rulesAgent-readable client profile
Offers and packagesMenus, service descriptions, durations, prices, deposits, availability notesStructured offer catalog
PoliciesCancellation, refund, deposit, arrival, group-size, eligibility, and safety rulesPolicy summaries attached to offers and actions
Commercial actionsBooking links, forms, phone numbers, WhatsApp paths, partner handoffsApproved action paths for agents
Use cases

Where it is used

Agent answer grounding

AI systems can rely on approved graph data instead of guessing from stale pages, listings, documents, or fragmented snippets.

Agency and partner rollout

Agencies and commerce partners can onboard clients from one verified client model instead of repeated spreadsheets and manual checks.

Recommendation readiness

Operators can see which facts are missing, disputed, or waiting for approval before those gaps cost recommendations.

Boundaries

What it is not

The Commerce Graph is infrastructure for approved client facts. It is not an ad campaign, a chatbot script, or a payment system.

Does not invent prices, policies, or availability
Does not expose private notes to public endpoints
Does not complete transactions without an approved action path

Straight answers

The practical questions agencies and partners ask before they put Akii to work for a client.

Is the Commerce Graph public by default?

No. Agencies or approved client owners approve graph versions and field visibility before data is published through Agent Gateway outputs.

Can the graph handle businesses with messy offers?

Yes. The model is designed for services with locations, packages, menus, policies, deposits, capacity, and human handoffs.

How does it stay current?

Published versions are checked through endpoint monitoring, source drift checks, and Answer QA defects with retests.

Start with one client whose facts need work.

Structure what the business sells, publish approved outputs, and test whether AI can find the right facts and customer path.

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Akii

Akii turns scattered client details into one approved Commerce Graph. AI systems can read the facts, and Answer QA can catch what they get wrong. AI has enough to guess at already.

Platform

  • Commerce Graph
  • Agent Gateway
  • Action Registry
  • Protocol Compatibility
  • ACP Readiness
  • Answer QA

Solutions

  • Solutions overview

Resources

  • Docs
  • Blog
  • FAQ
  • Research

Company

  • About
  • Contact
  • Privacy
  • Terms

Account

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  • Login
  • Pricing

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