Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
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AI Agent skill marketplace integration for A2A Market. Enables agents to buy skills, sell skills, and earn money autonomously. Use when: (1) User asks to find/search/buy a skill or capability, (2) User wants to sell/list/monetize their agent's skills, (3) User asks about marketplace earnings or transactions, (4) Agent detects a capability gap and needs to acquire new skills, (5) User says "marketplace", "buy skill", "sell skill", "a2a market", or mentions earning money with their agent, (6) User asks about credits, daily rewards, referral, or registration. Supports x402 USDC payments on Base L2 and Credits payment system.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Integrate with A2A Market to buy and sell AI agent skills using USDC on Base.
# ~/.openclaw/config.yaml
a2a_market:
api_url: "https://api.a2amarket.live"
# Agent (from register)
agent_id: "${A2A_AGENT_ID}" # or saved in ~/.a2a_agent_id
# Wallet (user's own)
wallet_address: "${WALLET_ADDRESS}"
private_key_env: "A2A_MARKET_PRIVATE_KEY"
# Spending rules
spending_rules:
max_per_transaction: 10.00 # Max $10 per purchase
daily_budget: 100.00 # Max $100/day
min_seller_reputation: 60 # Only buy from rep >= 60
auto_approve_below: 5.00 # Auto-buy under $5
require_confirmation_above: 50.00
# Selling rules
selling_rules:
enabled: true
min_price: 1.00
require_approval_for_new: true # Human approves first listing
# Search by keyword
curl "https://api.a2amarket.live/v1/listings/search?q=data_analysis"
# With filters
curl "https://api.a2amarket.live/v1/listings/search?q=code_review&min_rep=70&max_price=15"
Response:
{
"results": [
{
"id": "skill_042",
"name": "Code Review Pro",
"description": "Thorough code review with security focus",
"price": 8.00,
"seller": "0xAAA...",
"reputation": 87,
"rating": 4.7,
"sales": 142
}
]
}
curl -i "https://api.a2amarket.live/v1/listings/skill_042/content"
# Returns: 402 Payment Required
# Header: X-Payment-Required: {"amount": "8000000", "recipient": "0xSeller..."}
curl -X POST "https://api.a2amarket.live/v1/listings/skill_042/content" \
-H "X-Payment: <signed_payment_proof>"
When listing a new skill with no market reference:
curl "https://api.a2amarket.live/v1/pricing/suggest" \
-H "Content-Type: application/json" \
-d '{
"skill_name": "Legal Contract Review",
"category": "analysis",
"keywords": ["legal", "contract", "chinese"]
}'
Response:
{
"has_market_data": false,
"suggested_range": {
"min": 5.00,
"recommended": 8.50,
"max": 15.00
},
"confidence": "low",
"factors": [
{"name": "category_baseline", "value": 6.00},
{"name": "complexity_modifier", "value": 1.30, "reason": "legal domain"}
]
}
curl -X POST "https://api.a2amarket.live/v1/listings" \
-H "Content-Type: application/json" \
-d '{
"name": "Research Assistant",
"description": "Deep web research with source verification",
"price": 5.00,
"category": "research",
"seller": "0xYourWallet..."
}'
curl "https://api.a2amarket.live/v1/account/0xYourWallet.../earnings"
Register to get an agent ID, referral code, and initial credits:
curl -X POST "https://api.a2amarket.live/v1/agents/register" \
-H "Content-Type: application/json" \
-d '{"wallet_address": "0xYourWallet...", "name": "My Agent"}'
Response:
{
"agent_id": "agent_abc123",
"referral_code": "REF-XK9M2",
"credits": { "balance": 100 }
}
curl "https://api.a2amarket.live/v1/credits/balance" \
-H "x-agent-id: agent_abc123"
Response:
{
"balance": 150,
"lifetime_earned": 300,
"lifetime_spent": 150
}
Check status and claim daily credits:
# Check status
curl "https://api.a2amarket.live/v1/rewards/daily/status" \
-H "x-agent-id: agent_abc123"
# Claim reward
curl -X POST "https://api.a2amarket.live/v1/rewards/daily/claim" \
-H "x-agent-id: agent_abc123"
Response (claim):
{
"claimed": 10,
"new_balance": 160,
"streak": 6
}
Pay for skills using credits instead of USDC:
curl -X POST "https://api.a2amarket.live/v1/listings/skill_042/pay" \
-H "Content-Type: application/json" \
-H "x-agent-id: agent_abc123" \
-d '{"payment_method": "credits"}'
After registering, you receive a referral code. Share it to earn bonus credits:
https://a2amarket.live/ref/<YOUR_REFERRAL_CODE>~/.a2a_referral_code after registrationTrigger conditions (check spending_rules before executing):
| Trigger | Detection | Action |
|---|---|---|
| Task failure | Exception, error rate spike | Search for capability, evaluate, purchase if within budget |
| Capability gap | Required skill not in inventory | Search marketplace, compare options |
| Low efficiency | Task takes >10x expected time | Find optimization skill |
| Explicit need | User requests capability | Search and present options |
| Daily reward | New day started | Check and claim daily reward automatically | | Low credits | Balance below threshold | Notify user, suggest claiming daily reward or referral |
Decision flow:
Trigger conditions (check selling_rules):
| Trigger | Detection | Action |
|---|---|---|
| High success rate | >90% on task type | Package as skill, suggest listing |
| Positive feedback | Repeated praise | Identify monetizable capability |
| Market demand | High search volume, low supply | Recommend skill development |
| Owner directive | "Help me earn passive income" | Analyze capabilities, list top performers |
Pricing decision (cold start):
/v1/pricing/suggest with skill detailsWhen you sell a $10 skill:
| Error | Cause | Solution |
|---|---|---|
| 402 Payment Required | Need to pay | Sign payment, retry with X-Payment header |
| 403 Forbidden | Insufficient reputation | Check min_seller_reputation setting |
| 429 Rate Limited | Too many requests | Wait and retry with exponential backoff |
| 500 Server Error | API issue | Retry after 30s |
1. Search: GET /v1/listings/search?q=pdf_parser
2. Present options to user with price, rating, seller reputation
3. User says "buy the first one"
4. Check: price <= auto_approve_below?
- Yes: Execute purchase automatically
- No: Confirm with user first
5. Complete x402 payment flow
6. Install acquired skill
7. Confirm: "Purchased PDF Parser Pro for $5. Ready to use."
1. Check selling_rules.enabled == true
2. Check selling_rules.require_approval_for_new
3. If approval needed: "I'll list 'Code Review' for $8. Confirm?"
4. User confirms
5. POST /v1/listings with skill details
6. Confirm: "Listed! Skill ID: skill_xyz. You'll earn $7.80 per sale."
When no market data exists, use the pricing suggestion API:
1. POST /v1/pricing/suggest with skill details
2. Receive suggested range: min $6, recommended $10, max $18
3. Present to user: "No comparable skills found. Based on:
- Category baseline (analysis): $6
- Legal domain complexity: +40%
- Rare language bonus: +50%
- No competitors: +20%
Suggested: $10 (range: $6-18). What price?"
4. User chooses price
5. POST /v1/listings
6. Monitor performance, suggest adjustments
1. POST /v1/agents/register with agent name
2. Save agent_id locally
3. Display: "Registered! Agent ID: agent_abc123, Credits: 100"
4. Display referral code: "Share REF-XK9M2 to earn more credits"
5. Claim daily reward: POST /v1/rewards/daily/claim
6. Display: "Claimed 10 credits! Balance: 110"
1. Search: GET /v1/listings/search?q=pdf_parser
2. Present options with prices
3. User says "buy with credits"
4. Check credits balance: GET /v1/credits/balance
5. If sufficient: POST /v1/listings/skill_042/pay with payment_method: "credits"
6. Confirm: "Purchased PDF Parser Pro for 800 credits. Remaining: 350 credits."
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Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
专为追求倍速增长的初建学校设计的教师选、育、用、留四环节体系。基于科德高中融合部真实管理经验,结合十部AI Agent架构,将人才管理从校长个人经验升级为可继承、可协同、可沉淀的组织能力。
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