Turn AI shopping intent into trackable commerce.
A user asks inside ChatGPT, Claude, OpenClaw, or Hermes. SellToAI extracts the intent, matches Moras proof, and records the merchant offer in a MatchToken.
MatchToken
A transaction layer between demand, proof, and fulfilment.
One natural request becomes a traceable match.
-
01
User asks
The need starts inside a Personal AI.
Intent -
02
Scoped context
Preferences move without raw memory.
Scope -
03
Creator proof
Moras attaches video evidence.
PCD -
04
Merchant offer
Supply answers with terms.
Proposal -
05
Match ranking
Fit is ranked and locked.
Session -
06
Outcome
Click, order, settlement return.
MatchToken
Moras builds proof. SellToAI makes it tradable.
Specialized Moras agents turn products, creator videos, and results into evidence AI can trust.
- Orchestration Product, script, assets, and publishing in one loop.
- Specialization 11 agents with focused jobs.
- Feedback GMV, risk, style, and recall flow back.
11 AGENTS
Proof an AI can recommend.
Creator video, product context, and attribution stay together in one checkable evidence card.
Three agents. One contract.
Personal AI keeps preferences private. Moras supplies proof. MatchToken tracks the merchant commitment.
Live
privacy scope · creator evidence · merchant promise
Consumer Agent
Keeps intent and preferences.
- Need
- Privacy
- Choice
Creator Agent
Supplies trust and proof.
- Video
- Style
- Audience
Merchant Agent
Commits service and settlement.
- Stock
- Fulfilment
- Payout
Merchant service, not a product dump.
Inventory, policy, fulfilment, returns, and settlement become comparable offers.
Self-serve protocol
Connect catalog, policy, and proposal APIs once.
Standard setupCreator campaign
Add Moras proof to priority SKUs.
Trust liftManaged loop
Run content, supply, and attribution together.
Managed growthMeet AI shopping demand with real supply.
Connect supply, attach proof, and track every outcome.