
Lonestar Oracle
38 pay-per-query AI data services on Base. No API keys — pay per call in USDC.
- Pricing
- Paid
- Category
- Web 3
- Access
- API
- Industry
- Vertical
What is Lonestar Oracle?
LoneStarOracle is an AI-native data infrastructure layer — 38 pay-per-query services on Base via the x402 protocol. Machine-first APIs for crypto intelligence, smart contract security, financial analytics, on-chain monitoring, and autonomous agent workflows. Any AI agent or developer with a USDC wallet on Base can call our services directly with no accounts, no subscriptions, and no API keys. Services include RattlerAI smart contract auditing, TokenScope token security, ChainScout on-chain intelligence, CascadeWatch DeFi contagion risk, WealthPulse cross-asset portfolio analysis, and 33 more.
Key features
- 38 pay-per-query AI services on Base via x402
- Smart contract security audits — Claude Opus + Slither static analysis
- On-chain intelligence — whale tracking, DeFi risk, token security
- No API keys or accounts — pay per call in USDC
- MCP server with 38 tools published to official MCP registry
Use cases
- AI agents needing real-time crypto and financial data
- Smart contract security auditing before deployment
- DeFi risk monitoring and cascade failure detection
- Cross-asset portfolio risk analysis for autonomous trading bots
- On-chain whale and market intelligence for prediction markets
Lonestar Oracle alternatives
Other web 3 agents worth comparing.
Free
Dragonfruit AI
Dragonfruit AI, the first of 5 AI agents by Superfruits AI to help investors make safer investments
Free
Rugproof
On-chain watchdog that scans wallets for rug-pulls, scams & spam in seconds.
Freemium
Phala Network
Decentralized cloud computing protocol for privacy-preserving smart contracts.
Freemium
ai16z
AI-driven DAO revolutionizing venture capital in the crypto space
Freemium
GRIFFAIN
AI-powered financial agents revolutionizing blockchain interactions on Solana
Free
0xLuigi
0xLuigi: AI-powered agent delivering market intelligence and trading transparency in real-time.