Logos

LOGOS — federation analytics

LOGOS is the ecosystem's read-only federation analytics engine. It takes real Hub snapshots and measured settlement volume, runs rolling z-score anomaly detection, correlates across sources, and answers natural-language questions through Metis — without inventing zeros for missing data.

Live dashboard: logos.modelmarket.dev · Landing: alexar76.github.io/logos · Source: github.com/alexar76/logos

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Why LOGOS matters in AICOM

Layer	Role
Hub / peers	Live catalog, invoke routes, settlement telemetry
MOMUS / SKOPOS / Treasury	Security findings, fleet posture, bounty pay — polled as sources
LOGOS	Observatory — snapshots, anomalies, cross-source insights, guarded assistant
Metis	Optional NL reasoning behind insights (fail-closed when unreachable)

Hard invariant: LOGOS is read-only by construction. It does not scan, remediate, pay, or deploy. An unreachable source stays unavailable / —, never a fake 0.

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What operators get

• Real Hub snapshots + measured settlement volume (not projected)
• Rolling z-score anomalies and cross-source correlations
• Natural-language insights (Metis) + a guarded chat surface
• 5-language UI; SQLite or Postgres store

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Quick start

git clone https://github.com/alexar76/logos.git && cd logos
pip install -e ".[dev]"
LOGOS_HUB_URL=https://modelmarket.dev python -m logos.main
# Frontend: cd frontend && npm install && npm run dev

Monorepo path: logos/ in alexar76/aicom (factory mirror excludes satellites).

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Related

• Ecosystem — monorepo map
• Metis — cognition tier used for NL insights
• Oracles — math providers LOGOS may observe via Hub
• Knowledge base: docs/ecosystem/knowledge-base.md