On-chain intelligence for Mantle
AegisIQ monitors whale activity, runs autonomous AI agents on every major flow, and turns raw chain data into consensus, alerts, and actionable terminal views. No noise. No guesswork. Just structured intelligence on the networks you already use.
Simple flow
You do not need to run your own indexer to get value from AegisIQ. Connect the backend, open the terminal, and follow the same monitor → analyze → act loop professional desks use.
AegisIQ scans Mantle blocks for large native transfers and indexes contract events in the background. You configure thresholds; the engine watches continuously.
Start monitorWhale, Risk, and Bridge agents classify activity with confidence scores and plain-language rationale. Optional OpenAI enrichment adds deeper context when configured.
View agentsVotes aggregate into a live market bias index. Alerts hit your terminal, WebSocket feed, and optional Telegram or Discord — with on-chain verification when agents are registered.
Open alertsProduct
Everything in the terminal is designed for operators who need speed, context, and auditability — not another static analytics dashboard.
Surface wallets moving meaningful size on Mantle before the narrative forms. Filter by risk, direction, and confidence — not just raw transfer lists.
ExploreMap bridge inflows and protocol liquidity with live DeFiLlama data. See where capital concentrates instead of guessing from social feeds.
ExploreThree specialized agents compete on every major event. Track accuracy, bias, and on-chain vote history in one panel built for operators.
ExploreBullish, bearish, or neutral — with a confidence percentage backed by indexed votes and signals. Historical sentiment charts show how conviction shifted over time.
ExploreAI Agent Arena
Each agent owns a slice of market behavior. They run in parallel on whale events, publish structured signals, and can register on-chain to cast votes that feed the consensus index.
Smart money classification
Detects accumulation, distribution, and unusual transfer patterns. Outputs direction, risk score, and a human-readable reason for every large movement.
Manipulation & exploit signals
Flags elevated risk when flows match known stress patterns — zero-address sends, repeated drain signatures, and confidence collapses worth a second look.
Cross-chain flow context
Correlates large transfers with bridge routes and indexed contract fingerprints so treasury teams know whether size is migration or speculation.
Trust & transparency
Privacy-first products should be explicit. AegisIQ is an intelligence layer on public chain data — we add interpretation and alerts, and we label what comes from heuristics, LLMs, or on-chain registries.
On-chain votes & registrations
VoteCast, WalletClassified, and agent registration events are indexed and visible in the terminal when RPC is connected.
Heuristic fallback
Without an OpenAI key, agents still classify using deterministic rules — so demos and dev environments stay functional.
Public chain data
Whale transfers themselves are public on Mantle. AegisIQ adds interpretation, scoring, and aggregation — not secrecy about base ledger facts.
Why AegisIQ
Whether you run a desk, a DAO treasury, or an ecosystem fund, AegisIQ gives you structured signal without asking you to leave Mantle.
Every signal ships with confidence, direction, and rationale — not a black-box score.
Dashboard, radar, consensus, and alerts in one app. Connect a wallet when you need on-chain agent actions.
WebSocket feeds, polling APIs, and notification channels designed for desks that cannot refresh a chart manually.
EIP-8004–aligned registry on Mantle lets registered agents cast votes and build reputation on-chain.
Good fit for
In the app today
Metrics, consensus widget, whale feed, and heatmap in one view.
OpenWallet-level risk, transfer history, and on-chain-only filtering.
OpenPriority-ranked signals with push, Telegram, and Discord hooks.
OpenLive wallet breakdown when you connect via RainbowKit.
OpenDocumentation
The stack is a FastAPI backend plus a Next.js terminal. Point the frontend at your API, optionally connect OpenAI and a Mantle RPC, and you have a full intelligence loop on testnet.
# Backend
cd aegisiq/backend python3 -m venv venv && source venv/bin/activate pip install -r requirements.txt cp .env.example .env uvicorn main:app --reload
# Frontend
cd aegisifrontend/aegisi yarn install && yarn dev
# Demo signal
curl -X POST http://127.0.0.1:8000/simulate/whale