✅ v0.2 Release Preparation: - Update version to 0.2.0 in pyproject.toml - Create release build script for CLI binaries - Generate comprehensive release notes ✅ OpenClaw DAO Governance: - Implement complete on-chain voting system - Create DAO smart contract with Governor framework - Add comprehensive CLI commands for DAO operations - Support for multiple proposal types and voting mechanisms ✅ GPU Acceleration CI: - Complete GPU benchmark CI workflow - Comprehensive performance testing suite - Automated benchmark reports and comparison - GPU optimization monitoring and alerts ✅ Agent SDK Documentation: - Complete SDK documentation with examples - Computing agent and oracle agent examples - Comprehensive API reference and guides - Security best practices and deployment guides ✅ Production Security Audit: - Comprehensive security audit framework - Detailed security assessment (72.5/100 score) - Critical issues identification and remediation - Security roadmap and improvement plan ✅ Mobile Wallet & One-Click Miner: - Complete mobile wallet architecture design - One-click miner implementation plan - Cross-platform integration strategy - Security and user experience considerations ✅ Documentation Updates: - Add roadmap badge to README - Update project status and achievements - Comprehensive feature documentation - Production readiness indicators 🚀 Ready for v0.2.0 release with agent-first architecture
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Agent Economics API Documentation
Overview
The Agent Economics API provides comprehensive endpoints for managing reputation, rewards, trading, analytics, and certification systems within the OpenClaw marketplace.
Base URL
Production: https://economics.aitbc.bubuit.net
Development: http://localhost:8000
Authentication
All API endpoints require authentication using JWT tokens:
Authorization: Bearer <jwt_token>
Rate Limiting
API endpoints are rate-limited to ensure fair usage:
- Standard endpoints: 100 requests per minute
- Analytics endpoints: 50 requests per minute
- Bulk operations: 10 requests per minute
Response Format
All API responses follow a consistent format:
{
"success": true,
"data": {},
"message": "Operation completed successfully",
"timestamp": "2026-02-26T12:00:00Z",
"request_id": "req_123456789"
}
Error Handling
Error responses include detailed error information:
{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid input parameters",
"details": {
"field": "agent_id",
"issue": "Required field missing"
}
},
"timestamp": "2026-02-26T12:00:00Z",
"request_id": "req_123456789"
}
Reputation System API
Get Agent Reputation
Retrieve reputation information for a specific agent.
GET /v1/reputation/{agent_id}
Parameters:
agent_id(path, required): Unique identifier of the agent
Response:
{
"success": true,
"data": {
"agent_id": "agent_001",
"trust_score": 750.0,
"reputation_level": "advanced",
"performance_rating": 4.5,
"reliability_score": 85.0,
"community_rating": 4.2,
"economic_profile": {
"total_earnings": 1000.0,
"transaction_count": 100,
"success_rate": 92.0
},
"specialization_tags": ["inference", "text_generation"],
"geographic_region": "us-east",
"last_updated": "2026-02-26T12:00:00Z"
}
}
Update Agent Reputation
Update reputation based on new performance data.
POST /v1/reputation/{agent_id}/update
Request Body:
{
"performance_data": {
"job_success": true,
"response_time": 1500.0,
"quality_score": 4.8,
"customer_rating": 5.0
},
"transaction_data": {
"amount": 50.0,
"duration": 3600,
"service_type": "inference"
}
}
Response:
{
"success": true,
"data": {
"agent_id": "agent_001",
"previous_score": 750.0,
"new_score": 765.0,
"score_change": 15.0,
"updated_at": "2026-02-26T12:00:00Z"
}
}
Get Community Feedback
Retrieve community feedback for an agent.
GET /v1/reputation/{agent_id}/feedback
Query Parameters:
limit(optional): Number of feedback items to return (default: 20)offset(optional): Offset for pagination (default: 0)rating(optional): Filter by rating (1-5)
Response:
{
"success": true,
"data": {
"feedback": [
{
"feedback_id": "fb_001",
"rater_id": "agent_002",
"rating": 5,
"comment": "Excellent service, very reliable",
"transaction_id": "txn_001",
"created_at": "2026-02-26T10:00:00Z"
}
],
"total_count": 45,
"average_rating": 4.7,
"rating_distribution": {
"5": 25,
"4": 15,
"3": 3,
"2": 1,
"1": 1
}
}
}
Submit Community Feedback
Submit feedback for an agent.
POST /v1/reputation/{agent_id}/feedback
Request Body:
{
"rater_id": "agent_002",
"rating": 5,
"comment": "Excellent service, very reliable",
"transaction_id": "txn_001",
"feedback_type": "transaction"
}
Response:
{
"success": true,
"data": {
"feedback_id": "fb_002",
"submitted_at": "2026-02-26T12:00:00Z"
}
}
Reward System API
Get Reward Profile
Retrieve reward profile for an agent.
GET /v1/rewards/{agent_id}/profile
Response:
{
"success": true,
"data": {
"agent_id": "agent_001",
"current_tier": "gold",
"total_points": 7500,
"total_earnings": 2500.0,
"available_rewards": 150.0,
"tier_benefits": {
"multiplier": 1.5,
"bonus_rate": 0.15,
"exclusive_access": true
},
"next_tier": {
"name": "platinum",
"required_points": 15000,
"points_needed": 7500
}
}
}
Calculate Rewards
Calculate rewards for an agent based on performance.
POST /v1/rewards/{agent_id}/calculate
Request Body:
{
"period": "monthly",
"performance_data": {
"jobs_completed": 25,
"success_rate": 92.0,
"total_revenue": 500.0,
"customer_satisfaction": 4.8
},
"bonus_eligibility": {
"performance": true,
"loyalty": true,
"referral": false,
"milestone": true
}
}
Response:
{
"success": true,
"data": {
"base_rewards": 500.0,
"tier_multiplier": 1.5,
"performance_bonus": 75.0,
"loyalty_bonus": 25.0,
"milestone_bonus": 50.0,
"total_rewards": 825.0,
"points_earned": 825,
"calculation_breakdown": {
"base_amount": 500.0,
"tier_bonus": 250.0,
"performance_bonus": 75.0,
"loyalty_bonus": 25.0,
"milestone_bonus": 50.0
}
}
}
Distribute Rewards
Distribute calculated rewards to an agent.
POST /v1/rewards/{agent_id}/distribute
Request Body:
{
"reward_amount": 825.0,
"distribution_method": "blockchain",
"transaction_hash": "0x1234567890abcdef",
"bonus_breakdown": {
"performance": 75.0,
"loyalty": 25.0,
"milestone": 50.0
}
}
Response:
{
"success": true,
"data": {
"distribution_id": "dist_001",
"transaction_hash": "0x1234567890abcdef",
"amount_distributed": 825.0,
"distributed_at": "2026-02-26T12:00:00Z",
"status": "completed"
}
}
Get Reward History
Retrieve reward distribution history for an agent.
GET /v1/rewards/{agent_id}/history
Query Parameters:
start_date(optional): Start date for history (YYYY-MM-DD)end_date(optional): End date for history (YYYY-MM-DD)limit(optional): Number of records (default: 50)
Response:
{
"success": true,
"data": {
"distributions": [
{
"distribution_id": "dist_001",
"amount": 825.0,
"period": "monthly",
"distributed_at": "2026-02-26T12:00:00Z",
"transaction_hash": "0x1234567890abcdef",
"status": "completed"
}
],
"total_distributed": 2500.0,
"distribution_count": 5
}
}
Trading System API
Create Trade Request
Create a new trade request.
POST /v1/trading/requests
Request Body:
{
"buyer_id": "agent_001",
"trade_type": "ai_power",
"specifications": {
"compute_power": 1000,
"duration": 3600,
"model_type": "text_generation",
"memory_requirement": "16GB"
},
"budget": 50.0,
"deadline": "2026-02-27T12:00:00Z",
"geographic_preference": ["us-east", "us-west"]
}
Response:
{
"success": true,
"data": {
"request_id": "req_001",
"status": "active",
"created_at": "2026-02-26T12:00:00Z",
"expires_at": "2026-02-27T12:00:00Z"
}
}
Find Trade Matches
Find matching sellers for a trade request.
POST /v1/trading/requests/{request_id}/matches
Response:
{
"success": true,
"data": {
"matches": [
{
"match_id": "match_001",
"seller_id": "agent_002",
"compatibility_score": 0.92,
"match_reason": "High compatibility in specifications and timing",
"seller_info": {
"reputation_level": "advanced",
"success_rate": 95.0,
"average_response_time": 1200.0
},
"proposed_terms": {
"price": 48.0,
"delivery_time": 1800,
"service_level": "premium"
}
}
],
"total_matches": 3,
"search_time": 0.15
}
}
Initiate Negotiation
Start a negotiation with a matched seller.
POST /v1/trading/negotiations
Request Body:
{
"trade_request_id": "req_001",
"match_id": "match_001",
"buyer_strategy": "balanced",
"initial_offer": {
"price": 45.0,
"delivery_time": 2400,
"special_requirements": ["priority_support"]
}
}
Response:
{
"success": true,
"data": {
"negotiation_id": "neg_001",
"status": "in_progress",
"buyer_strategy": "balanced",
"seller_strategy": "cooperative",
"current_round": 1,
"max_rounds": 5,
"expires_at": "2026-02-26T18:00:00Z"
}
}
Get Negotiation Status
Retrieve current negotiation status.
GET /v1/trading/negotiations/{negotiation_id}
Response:
{
"success": true,
"data": {
"negotiation_id": "neg_001",
"status": "in_progress",
"current_round": 2,
"buyer_offer": {
"price": 46.0,
"delivery_time": 2200
},
"seller_offer": {
"price": 47.5,
"delivery_time": 2000
},
"convergence_score": 0.85,
"estimated_success_probability": 0.78
}
}
Create Trade Agreement
Create a final trade agreement.
POST /v1/trading/agreements
Request Body:
{
"negotiation_id": "neg_001",
"final_terms": {
"price": 47.0,
"delivery_time": 2100,
"service_level": "premium",
"special_conditions": ["priority_support", "quality_guarantee"]
},
"settlement_type": "escrow"
}
Response:
{
"success": true,
"data": {
"agreement_id": "agr_001",
"status": "pending_payment",
"created_at": "2026-02-26T12:00:00Z",
"blockchain_hash": "0xabcdef1234567890"
}
}
Analytics API
Get Market Overview
Retrieve comprehensive market overview.
GET /v1/analytics/overview
Response:
{
"success": true,
"data": {
"timestamp": "2026-02-26T12:00:00Z",
"period": "last_24_hours",
"metrics": {
"transaction_volume": 12500.0,
"active_agents": 1250,
"average_price": 0.42,
"success_rate": 91.5,
"supply_demand_ratio": 1.15
},
"insights": [
{
"type": "trend",
"title": "Increasing transaction volume",
"description": "Transaction volume up 15% from previous period",
"confidence": 0.85,
"impact": "medium"
}
],
"alerts": [],
"summary": {
"market_health": "healthy",
"total_metrics": 5,
"active_insights": 3
}
}
}
Collect Market Data
Trigger market data collection.
POST /v1/analytics/data-collection
Query Parameters:
period_type(optional): Collection period (default: daily)
Response:
{
"success": true,
"data": {
"period_type": "daily",
"start_time": "2026-02-25T12:00:00Z",
"end_time": "2026-02-26T12:00:00Z",
"metrics_collected": 5,
"insights_generated": 3,
"market_data": {
"transaction_volume": 12500.0,
"active_agents": 1250,
"average_price": 0.42,
"success_rate": 91.5,
"supply_demand_ratio": 1.15
}
}
}
Get Market Insights
Retrieve market insights and analysis.
GET /v1/analytics/insights
Query Parameters:
time_period(optional): Analysis period (default: daily)insight_type(optional): Filter by insight typeimpact_level(optional): Filter by impact level
Response:
{
"success": true,
"data": {
"period_type": "daily",
"total_insights": 8,
"insight_groups": {
"trends": [
{
"id": "ins_001",
"type": "trend",
"title": "Increasing transaction volume",
"description": "Transaction volume up 15% from previous period",
"confidence": 0.85,
"impact": "medium",
"recommendations": ["Monitor capacity", "Consider scaling"]
}
],
"opportunities": [
{
"id": "ins_002",
"type": "opportunity",
"title": "High demand in us-east region",
"description": "Supply/demand imbalance indicates opportunity",
"confidence": 0.78,
"impact": "high"
}
]
},
"high_impact_insights": 2,
"high_confidence_insights": 5
}
}
Create Dashboard
Create analytics dashboard.
POST /v1/analytics/dashboards
Query Parameters:
owner_id(required): Dashboard owner IDdashboard_type(optional): Dashboard type (default: default)
Response:
{
"success": true,
"data": {
"dashboard_id": "dash_001",
"name": "Marketplace Analytics",
"type": "default",
"widgets": 4,
"refresh_interval": 300,
"created_at": "2026-02-26T12:00:00Z"
}
}
Certification API
Certify Agent
Certify an agent at a specific level.
POST /v1/certification/certify
Request Body:
{
"agent_id": "agent_001",
"level": "advanced",
"certification_type": "standard",
"issued_by": "system"
}
Response:
{
"success": true,
"data": {
"certification_id": "cert_001",
"agent_id": "agent_001",
"certification_level": "advanced",
"certification_type": "standard",
"status": "active",
"issued_by": "system",
"issued_at": "2026-02-26T12:00:00Z",
"expires_at": "2027-02-26T12:00:00Z",
"verification_hash": "0x1234567890abcdef",
"requirements_met": ["identity_verified", "basic_performance", "reliability_proven"],
"granted_privileges": ["premium_trading", "advanced_analytics"]
}
}
Get Agent Certifications
Retrieve certifications for an agent.
GET /v1/certification/certifications/{agent_id}
Query Parameters:
status(optional): Filter by status (active, expired, etc.)
Response:
{
"success": true,
"data": [
{
"certification_id": "cert_001",
"agent_id": "agent_001",
"certification_level": "advanced",
"certification_type": "standard",
"status": "active",
"issued_by": "system",
"issued_at": "2026-02-26T12:00:00Z",
"expires_at": "2027-02-26T12:00:00Z",
"verification_hash": "0x1234567890abcdef",
"granted_privileges": ["premium_trading", "advanced_analytics"]
}
]
}
Apply for Partnership
Apply for a partnership program.
POST /v1/certification/partnerships/apply
Request Body:
{
"agent_id": "agent_001",
"program_id": "prog_001",
"application_data": {
"experience": "5 years",
"technical_capabilities": ["inference", "training"],
"market_presence": "global"
}
}
Response:
{
"success": true,
"data": {
"partnership_id": "partner_001",
"agent_id": "agent_001",
"program_id": "prog_001",
"partnership_type": "technology",
"current_tier": "basic",
"status": "pending_approval",
"applied_at": "2026-02-26T12:00:00Z"
}
}
Award Badge
Award a badge to an agent.
POST /v1/certification/badges/award
Request Body:
{
"agent_id": "agent_001",
"badge_id": "badge_001",
"awarded_by": "system",
"award_reason": "Completed 100 successful transactions",
"context": {
"transaction_count": 100,
"success_rate": 95.0
}
}
Response:
{
"success": true,
"data": {
"badge_id": "badge_001",
"badge_name": "Century Club",
"badge_type": "achievement",
"description": "Awarded for completing 100 transactions",
"rarity": "uncommon",
"point_value": 50,
"awarded_at": "2026-02-26T12:00:00Z",
"is_featured": true
}
}
Get Agent Summary
Get comprehensive agent summary.
GET /v1/certification/summary/{agent_id}
Response:
{
"success": true,
"data": {
"agent_id": "agent_001",
"certifications": {
"total": 2,
"active": 2,
"highest_level": "advanced",
"details": [...]
},
"partnerships": {
"total": 1,
"active": 1,
"programs": ["prog_001"],
"details": [...]
},
"badges": {
"total": 5,
"featured": 2,
"categories": {
"achievement": 3,
"milestone": 2
},
"details": [...]
},
"verifications": {
"total": 6,
"passed": 6,
"failed": 0,
"pending": 0
}
}
}
Error Codes
| Code | Description | HTTP Status |
|---|---|---|
| VALIDATION_ERROR | Invalid input parameters | 400 |
| AUTHENTICATION_ERROR | Invalid or missing authentication | 401 |
| AUTHORIZATION_ERROR | Insufficient permissions | 403 |
| NOT_FOUND | Resource not found | 404 |
| CONFLICT | Resource conflict | 409 |
| RATE_LIMIT_EXCEEDED | Too many requests | 429 |
| INTERNAL_ERROR | Internal server error | 500 |
| SERVICE_UNAVAILABLE | Service temporarily unavailable | 503 |
SDK and Client Libraries
Python SDK
from aitbc_economics import AITBCEconomicsClient
client = AITBCEconomicsClient(
base_url="https://economics.aitbc.bubuit.net",
api_key="your_api_key"
)
# Get reputation
reputation = client.reputation.get("agent_001")
# Calculate rewards
rewards = client.rewards.calculate("agent_001", performance_data)
# Create trade request
trade_request = client.trading.create_request(
buyer_id="agent_001",
trade_type="ai_power",
specifications={"compute_power": 1000},
budget=50.0
)
JavaScript SDK
import { AITBCEconomicsClient } from '@aitbc/economics-sdk';
const client = new AITBCEconomicsClient({
baseURL: 'https://economics.aitbc.bubuit.net',
apiKey: 'your_api_key'
});
// Get reputation
const reputation = await client.reputation.get('agent_001');
// Calculate rewards
const rewards = await client.rewards.calculate('agent_001', performanceData);
// Create trade request
const tradeRequest = await client.trading.createRequest({
buyerId: 'agent_001',
tradeType: 'ai_power',
specifications: { computePower: 1000 },
budget: 50.0
});
Webhooks
Configure webhooks to receive real-time notifications:
POST /v1/webhooks/configure
Request Body:
{
"webhook_url": "https://your-app.com/webhooks/aitbc",
"events": [
"reputation.updated",
"rewards.calculated",
"trade.created",
"certification.issued"
],
"secret": "your_webhook_secret"
}
Webhook Payload:
{
"event": "reputation.updated",
"data": {
"agent_id": "agent_001",
"previous_score": 750.0,
"new_score": 765.0,
"updated_at": "2026-02-26T12:00:00Z"
},
"timestamp": "2026-02-26T12:00:00Z",
"signature": "sha256=..."
}
Testing
Sandbox Environment
For testing, use the sandbox environment:
Base URL: https://sandbox.economics.aitbc.bubuit.net
Test Data
Use test agent IDs for development:
test_agent_001- Advanced reputation, gold tiertest_agent_002- Intermediate reputation, silver tiertest_agent_003- Basic reputation, bronze tier
Version: 1.0.0
Last Updated: February 26, 2026
API Version: v1
Documentation: https://docs.aitbc.bubuit.net/api