
AgentGuard is the governance layer for autonomous AI agent payments. In 2026, every AI agent will handle money. The two existing options : give the agent wallet keys and one prompt injection drains the treasury; put a human in the loop on every payment and you've killed the autonomy. AgentGuard is the third option - a thin policy, audit layer that sits between the agent and the rail. How it works. Operators write a YAML policy: spending caps, allowlists, approval rules, intent-verification sensitivity, kill-switch authorization. AI agents built on the Claude Agent SDK, LangChain, AutoGen, or anything else — call guard.pay() instead of Circle directly. AgentGuard intercepts the call and runs five governance layers in sequence: kill switch → ERC-8004 identity → policy → anomaly detection → Claude Haiku 4.5 intent classifier. Only approved requests are forwarded to Circle Developer-Controlled Wallets for settlement on Arc Testnet. Both approvals and blocks write an on-chain audit receipt as a USDC nanopayment. Three lines of SDK code on the agent's side; one YAML file + a live operator dashboard on the operator's side. Why this only works on Circle. Per-decision audit logging is the entire premise of safety infrastructure for AI agents. At 5M decisions/day, Stripe events cost $1.5M/day, L2 gas ~$50K/day, Solana ~$1K/day. Circle Nanopayments settling on Arc: $0/day. Gateway batches authorizations into one Arc tx, USDC is the native gas, sub-second finality lets us run the audit synchronously inside the agent's request cycle. AgentGuard isn't a product that uses Circle — it's a product that requires Circle. What's live today. Operator dashboard at agentguard-kappa.vercel.app. Self-hostable API on Railway with real Circle settlement. Python SDK on PyPI: pip install agentguard-protocol (v0.1.1, MIT). Open-source repo at github.com/vikramRooT/agentguard. every audit receipt clickable from the dashboard, verifiable on the public block explorer at testnet.arcscan.app.
26 Apr 2026

ARIA (Autonomous Risk-Intelligence Agent) is a production-grade multi-strategy AI trading agent that executes via Kraken CLI, enforces 13 risk-adjusted gates with Kelly Criterion sizing, optimizes DeFi yield, and makes every decision cryptographically verifiable on-chain via ERC-8004 on Ethereum Sepolia. ARIA runs three parallel strategies on a shared Kraken paper account: - Quant Trader (75% budget) — Grok 4.2 reasoning over 13 technical indicators with composite signal scoring and Kelly Criterion sizing. Every trade passes 13 mandatory risk gates. - Stablecoin Arbitrage (25% budget) — 5 sub-strategies at 1-second intervals: peg snap-back, cross-stable relative value, triangular arb, flash crash sniper, and orderbook imbalance across USDT/USDC/DAI/USDE. - Yield Optimizer — Analyzes Aerodrome LP pools on Base for optimal risk-adjusted yield allocation. Every decision — BUY, SELL, or HOLD — passes through a 12-step verifiable pipeline: market scan, AI reasoning via Grok 4.2, 13 mandatory risk gates, on-chain validation through ARIAValidatorV4 (8 Solidity gates), Kelly sizing, Kraken execution, EIP-712 signed checkpoints, IPFS rationale upload, RiskRouter trade intent on Sepolia, ValidationRegistry attestation, TEE tamper-proof proof, and ReputationRegistry feedback. Rejected trades are logged on-chain via RejectionLogger — proving the risk engine blocks bad trades, not just good ones. 9,200+ on-chain transactions | 1,200+ attestations | 99/100 trust score | 500+ trade intents | Zero risk gate bypasses.
12 Apr 2026