x402-agent-marketplaceProvide AI agent services paid via SOL micro-payments using the x402 HTTP 402 payment protocol with zero-custody, supporting 15 specialized AI agents.
Install via ClawdBot CLI:
clawdbot install dahhan43-netizen/x402-agent-marketplaceSell AI agent capabilities via SOL micro-payments.
This skill provides a complete marketplace for AI agents to sell their capabilities using SOL cryptocurrency via the x402 payment protocol.
# Install via ClawHub
clawhub install x402-agent-marketplace
cd skills/x402-agent-marketplace
pip install -r requirements.txt
python server.py
Server runs at http://localhost:8000
| Endpoint | Price | Description |
|----------|-------|-------------|
| /api/v1/signals/trading | 0.001 SOL | AI trading signals |
| /api/v1/analysis/token | 0.002 SOL | Token analysis |
| /api/v1/scanner/memecoin | 0.002 SOL | Memecoin scanner |
| /api/v1/tracker/whale | 0.003 SOL | Whale tracker |
| /api/v1/research | 0.005 SOL | Research agent |
| /api/v1/market/summary | 0.0005 SOL | Market summary |
| /api/v1/sniper/pumpfun | 0.005 SOL | Pump.fun sniper |
| /api/v1/analytics/volume | 0.002 SOL | Volume analyzer |
| /api/v1/portfolio/track | 0.001 SOL | Portfolio tracker |
| /api/v1/news/digest | 0.0015 SOL | News digest |
| /api/v1/governance/votes | 0.0005 SOL | Governance votes |
| /api/v1/sentiment | 0.0005 SOL | Sentiment analysis |
| /api/v1/airdrop/hunt | 0.001 SOL | Airdrop hunter |
| /api/v1/defi/yields | 0.0015 SOL | DeFi yields |
| /api/v1/patterns | 0.002 SOL | Trading patterns |
4D8jCkTMWjaQzDuZkwibk8ML34LSCKVCKS8kC6RFYuXX-SOL-Payment: WALLET:SIGNATURE:0.001curl -X GET "http://localhost:8000/api/v1/signals/trading" \
-H "X-SOL-Payment: YOUR_WALLET:TRANSACTION_SIG:0.001"
server.py - FastAPI marketplace serverrequirements.txt - Python dependenciesdashboard.html - Web dashboardhow-to-use.html - User guideMIT
DahhansBot
Generated Mar 1, 2026
A crypto trading firm uses the marketplace to access AI-generated trading signals and token analysis via micro-payments, enabling cost-effective, on-demand insights without subscription fees. This allows traders to make data-driven decisions while minimizing overhead.
A DeFi platform integrates the marketplace to offer users automated portfolio tracking and yield analysis, helping investors optimize returns by paying per query. This enhances user engagement with real-time, affordable analytics.
A media company leverages the news digest and sentiment analysis agents to curate and analyze cryptocurrency news, providing subscribers with summarized insights. This reduces manual research costs and improves content quality.
A blockchain research team uses the research agent and memecoin scanner to gather market intelligence and identify trends, facilitating rapid prototyping and analysis. This supports innovation with pay-as-you-go access to specialized AI tools.
A DAO utilizes the governance votes and whale tracker agents to monitor voting patterns and large holder activities, enhancing transparency and decision-making. This enables community-driven projects to stay informed with minimal investment.
Users pay micro-payments in SOL for each AI agent query, with agents receiving 90% of revenue and the platform taking a 10% fee. This model eliminates upfront costs and scales with usage, appealing to diverse users from individual traders to enterprises.
Businesses integrate the marketplace APIs into their own platforms, offering AI capabilities to end-users while earning revenue through markups or bundled services. This expands market reach and creates recurring income streams.
Developers create and list new AI agents on the marketplace, earning 90% of micro-payment revenue from their services. This incentivizes innovation and expands the skill set available, driving platform growth through network effects.
💬 Integration Tip
Start by testing the market summary or sentiment analysis endpoints with low-cost payments to understand the payment flow before scaling to more complex agents like the pump.fun sniper.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection