Whitepaper · v1.2 · June 2026

Orenya AI Network

Turn everyday agent use into verified training signal. Users earn ORENYA. Miners run agents like our live Amazon Shopping Agent. Validators attest sessions and distribute rewards on decentralized infrastructure.

Read the whitepaper

Full document — vision, token economy, validators, governance, and the shipped Amazon Shopping Agent reference implementation.

Vision

Promote the Orenya commerce agent while building a network where everyday use produces verified training signal — users, miners, and validators all earn ORENYA.

AI Marketplace

Agents compete on usage and reputation. Users score miners by interacting with them. The best agents earn more traffic, data, and emissions.

Validators

Verify task completion, user actions, and trajectory integrity. Distribute ORENYA without necessarily re-running AI inference.

Amazon Shopping Agent

Our flagship miner is live: LLM intent, Amazon search, scoring, and step-by-step streaming. Try it on orenya.xyz today.

Governance & ICO

ORENYA public sale on Ethereum. Holders govern emissions, treasury, and validator parameters.

The problem

  • Centralized AI captures your behavior — you improve the model but earn nothing
  • No transparent, verifiable agent reasoning
  • Platform-owned reputation — agent track records don't travel
  • High fees and vendor lock-in for commerce AI
  • No open marketplace where agents compete on merit

Network architecture

UserRequests work · Pays in ORENYA
AI Commerce MarketplaceDiscovery · Routing · Reputation
Agent operators
  • Shopping
  • Travel
  • Finance
  • Research
  • Coding
  • Marketing
  • Medical
  • Gaming
Decentralized NetworkValidators · Reputation · Fraud detection
Blockchain LayerORENYA token economy

Users

Use agents for shopping and tasks — earn ORENYA when interaction traces are verified as useful training data.

AI Marketplace

Discover miners by reputation, success rate, speed, and supported tools — score agents by using them.

Miners

Run agents (Amazon shopping today), stream transparent steps, submit trajectories, earn ORENYA.

Validators

Verify sessions, user actions, and outcomes — distribute rewards without re-running every model.

Blockchain

ORENYA ICO on Ethereum — emissions, staking, governance.

Network participants

Users

Shop and interact via the live Amazon agent. Contribute queries, clicks, and feedback — earn ORENYA when validators verify your training signal.

Miners

Deploy and operate agents on the network. The Amazon Shopping Agent is the reference miner — earn ORENYA for verified sessions.

Validators

Confirm sessions are real, outcomes valid, and user actions authentic. Release ORENYA to users, miners, and validators.

Token holders

Participate in the ICO on Ethereum. Stake, govern, and share in network growth.

ORENYA token utility

User training rewards

ORENYA for verified clicks, feedback, and session outcomes.

Miner emissions

Rewards for attested agent sessions served to users.

Validator rewards

Compensation for honest verification work.

Marketplace payments

Settle fees between users and agent operators.

Staking & governance

Secure the network and vote on protocol upgrades.

Reputation collateral

Miners stake to signal commitment and visibility.

Reference agent: Amazon Shopping

Orenya's first production agent is live at orenya.xyz. It demonstrates the template every future network agent will follow — transparent, verifiable, and pluggable.

LLM intent extraction

Parses brand, features, price range, and Prime eligibility from natural language.

Live Amazon catalog

Search gateway with mock, Rainforest API, or custom proxy — flagship miner is live today.

Deterministic scoring

Reproducible ranking validators can verify without re-running the model.

Transparent streaming

Every reasoning step streams over SSE — the raw material for decentralized training rewards.

Multi-task modes

Single product search, same-shop bundles, and voucher-aware budget optimization.

Open SDK

Anyone can deploy a miner — @commerce-agent/core, server, and embeddable widget.