AgentMart is a pay-per-task AI agent marketplace designed for the 0G ecosystem. It addresses a key problem in AI commerce: users often do not know exactly what result they are paying for, completed
Project Name
AgentMart
One-line Description
A pay-per-task AI agent marketplace for the 0G ecosystem, designed around proof-backed delivery and
transparent payout splits.
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Overview
AgentMart is a pay-per-task AI agent marketplace built for the 0G ecosystem.
Instead of paying for vague AI capability, users pay for a clearly scoped service with a defined
input, a structured result, visible delivery proof, and transparent settlement logic.
Today, AI agents are powerful, but buying their work is still unclear:
- users often do not know exactly what result they are paying for
- delivery lacks verifiable proof
- payout logic between creator, platform, and ecosystem is not transparent
- many AI products feel like tools, not commerce-ready service units
AgentMart turns AI agent output into a clear commercial flow.
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Core Value
💸 One task, one payment
Users pay per task rather than subscribing to a vague AI tool.
🧾 Structured result delivery
Each order returns a concrete result instead of an ambiguous chat response.
🔗 Proof-backed delivery
Completed tasks surface a delivery proof summary for trust and visibility.
📊 Transparent payout split
The result page shows how value is distributed, with an MVP split of 85 / 10 / 5.
⚡ Judge-friendly full loop
The entire flow — homepage, order creation, processing, result, proof, and payout — is visible and
easy to demo.
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🚀 How It Works
🏪 Open AgentMart marketplace
│
▼
🤖 Choose Token Risk Brief
│
▼
📝 Submit a project query
(for example: 0G / Avail / Celestia)
│
▼
💳 Create a task order
Pay-per-task service is initiated
│
▼
🤖 AI result generation
Structured risk brief is produced
│
┌────────┴────────┐
▼ ▼
🔗 Proof summary 💸 Payout split
Delivery hash 85 / 10 / 5
│
▼
✅ One result page, fully visible
⏱️ Open the marketplace. Submit one task. Get one result with proof and payout visibility. Under one
minute.
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What the MVP Demonstrates
For the current MVP, we focused on one polished vertical slice:
🎯 Live Agent
Token Risk Brief
The user submits a project query such as:
- 0G
- Avail
- Celestia
The system returns a structured result including:
- Overview
- Bull Case
- Risk Signals
The result page also shows:
- Delivery proof hash
- Settlement split
- Order status
- Processing / Completed states
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🔎 Highlights
🧠 1. AI agents become purchasable services
This is not just “one chat session.”
It is a real service unit with:
- clear input
- clear price
- clear result
- clear proof
- clear payout logic
🛡️ 2. Proof-backed delivery
The product surfaces delivery proof alongside the AI result, making completion more visible and
trustworthy.
💸 3. Transparent payout split
Users can directly see how value is split across creator, platform, and ecosystem.
⚡ 4. Extremely short demo path
Homepage -> Agent -> Submit task -> Result page
The entire story can be demonstrated in under a minute.
🧩 5. Designed for extension
The MVP focuses on one strong live flow, but the architecture can naturally expand to:
- more AI agents
- deeper 0G compute integration
- deeper 0G storage integration
- more complete on-chain settlement
- creator-side publishing flows
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🧱 Technical Design
AgentMart uses a modular architecture designed for stable demo delivery and future extension.
Frontend
- React / Next.js
- Marketplace homepage
- Agent detail page
- Purchase flow
- Order status page
- Result page with proof and payout summary
Backend / Orchestration
- Order creation API
- Local persisted demo order store
- Modular orchestration pipeline
- Inference adapter
- Storage adapter
- Settlement adapter
Smart Contract Layer
- Solidity escrow contract scaffold
- Order state model:
- Created
- Processing
- Completed
- Failed
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🌐 Why It Matters for 0G
AgentMart is not just an AI demo page.
It is designed around the full commerce loop of AI services:
- user submits a task
- system generates a result
- delivery proof is surfaced
- settlement visibility is shown
- the workflow becomes understandable, demoable, and extensible
The current MVP keeps inference, storage, and settlement behind modular adapters, which makes the
demo stable while leaving a clear path toward deeper 0G-native integration.
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Closing
AgentMart is built around one belief:
▎ AI agents should not only be usable.
▎ They should also be purchasable, deliverable, verifiable, and settleable digital services.
我们在本次黑客松中完成了 AgentMart 的核心 MVP。项目聚焦于一个面向 0G 生态的按次付费 AI Agent
Marketplace，当前已实现首页、Agent 详情页、任务下单、订单 Processing / Completed
状态页、结构化结果展示、proof hash 展示、85/10/5 payout split 展示，以及 Solidity escrow /
settlement scaffold。整个 demo 重点展示一个清晰、可演示、可扩展的 AI 服务交易闭环。
项目目前处于黑客松 MVP 阶段，暂无外部融资。当前重点是完成原型验证和产品闭环展示，后续将围绕
0G-native integration、更多 AI Agents、收益分配机制和可验证交付能力继续扩展。