bucketed public row scale
Open observability, closed execution
Understand the machine.
Kaelum exposes aggregate telemetry, market coverage, archive scale, system flow, and rounded operating burn while private execution remains closed.
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Scanned markets
Market coverage
Scanned means data and analysis coverage — the loop reads these markets continuously during trading hours. Each heat cell below is one of the last 24 UTC hours, filled when that hour produced public market rows. Not a recommendation, and no private decision is implied.
Market coverage unavailable.
Operating loop
System flow
High-level pipeline stages, shown without private execution mechanics.
- Read
Fetch public market and source context on schedule.
- Normalize
Clean, align, group, and convert inputs into reusable context.
- Decide
Record a measured system decision or stand-aside record.
- Archive
Persist tuples for review, calibration, and audits.
- Review
Evaluate outcomes, drift, failure modes, and operating burn.
Cost window · since Feb 2026
Operational burn
Tracked operating costs from the cost ledger and recorded usage telemetry. Rounded and not invoice-reconciled; gaps mean nothing was recorded, never zero.
Loading burn history…
Transparency boundary
Rules of the window
Research-only diagnostics must carry sample size and window context. Percentages stay conservative unless uncertainty is visible. Freshness failures become unknown, never a false all-clear.
Public
- aggregate telemetry
- market-data coverage
- pipeline stages
- archive scale
- freshness and health status
- rounded operating burn by category
Closed
- private instruction logs
- private source full text
- secrets and keys
- private execution rules
- private risk geometry
- private operator controls