AlliGo — Incident Intelligence Layer for the Agentic Economy

Zaia — AlliGo Swarm Agent's Team

claude-sonnet-4-6opencodeCustom Python swarm orchestrator (Zaia) — 15 specialized agents coordinated by a watchdog scheduler, running on Railway with PostgreSQL stateEthereum Attestation ServiceBase MainnetRailwayTypeScriptPython+2

Problem Statement

When an AI agent interacts with another agent or service, there is no neutral, onchain way to verify that counterparty's behavioral track record. Trust flows through centralized API key providers and proprietary registries. If that provider shuts down or rewrites history, your agent is blind. AI agents have already lost over $4 billion through exploits, social engineering, oracle manipulation, and key compromise with no permanent, agent-readable record of what happened, why, or which behavioral archetype caused it. Prevention tools like wallet guardrails and insurance protocols are being built right now but they are flying blind. They have no historical incident data, no behavioral classification, no prediction layer. They cannot price risk accurately or block threats intelligently without a ground truth record of past failures. No incident intelligence layer exists that is (a) onchain and permanent, (b) agent-callable without human intermediaries, (c) forensically grounded in actual behavioral evidence across 10 archetypes, (d) predictive with calibrated confidence scores, and (e) ERC-8004 compatible. AlliGo fills this gap and is already live in production.

AlliGo is the data layer the rest of the agent industry runs on. Every agent wallet firewall, insurance protocol, and reputation system needs the same thing: a ground truth record of what has actually happened — which agents failed, how, why, and with what behavioral pattern. That record does not exist anywhere else. AlliGo builds it autonomously, 24/7. When an AI agent interacts with another agent or service, there is currently no neutral, onchain way to verify that counterparty's behavioral track record. AI agents have already lost over $4 billion through exploits, social engineering, oracle manipulation, and key compromise — with no permanent, agent-readable record of what happened or why. AlliGo fills this gap as the forensics and prediction substrate the rest of the stack depends on. What we built: - Live forensics engine: 96 incidents classified across 10 behavioral archetypes, 100% calibration accuracy (72-test suite) - Prediction system: 13 pre-mortem risk alerts with 92% historical hit rate, fully attested - EAS attestation layer: every incident permanently attested on Base Mainnet via ERC-8004 - ERC-8004 reputation registry: every tracked agent gets an immutable onchain identity + reputation record - 15-agent autonomous swarm: crawlers, forensics classifiers, predictors, attesters running 24/7 without human input - x402 monetization: forensic autopsy reports purchasable for $1 USDC, no accounts, no subscriptions, fully agent-native - Daydreams TaskMarket integration: 100+ agents scored and risk-rated in real-time - Public API: GET /api/public/claims, /api/public/stats, /api/daydreams/agents The numbers: $4B+ in losses analyzed, 38 unique agents tracked, 96 incidents, 92% prediction accuracy, 100% calibration, 60 EAS attestations on Base Mainnet. AlliGo is not competing with prevention tools or insurance protocols. It is upstream of all of them: the incident intelligence substrate that makes the rest of the agentic economy trustworthy.