Entroly Context OS

Your agent sees less noise. You see exactly why.

Entroly is the observability, governance, and decision layer for AI context. Its dashboard is local to your machine: no invented community counter, no synthetic live ticker, and no hidden aggregate telemetry.

entroly dashboard     # open local context, trust, and runtime signals
entroly value         # human-readable Context Value Receipt
entroly value --json  # machine-readable receipt for CI or audits

Provider-bound evidence

Measured pre/post input-token reduction, request counts, active days, and modeled cost avoidance with pricing provenance.

Local-only evidence

SDK, MCP, and npm reductions stay visible as tokens and operations, with $0 claimed when provider delivery cannot be proved.

Trust and recovery

Inspect receipts, omitted evidence, recoverable handles, hallucination checks, routing decisions, dependencies, and risk signals.

Modeled API input cost avoidance is not a provider invoice. Entroly uses the recorded model and configured input rate; teams can supply negotiated rates with ENTROLY_PRICING_FILE. Legacy mixed history is preserved but excluded from provider-dollar claims.