Spanprism
Open OTLP trace JSON offline, rebuild span trees, expose critical paths, error clusters, clock gaps, and attribute hygiene.
Focused field tools
Apply trace identity checks to the recorded evidence, document assumptions, and retain a concrete verification result before changing a live system.
Apply parentage checks to the recorded evidence, document assumptions, and retain a concrete verification result before changing a live system.
Apply critical path checks to the recorded evidence, document assumptions, and retain a concrete verification result before changing a live system.
Apply clock skew checks to the recorded evidence, document assumptions, and retain a concrete verification result before changing a live system.
Apply status checks to the recorded evidence, document assumptions, and retain a concrete verification result before changing a live system.
Apply events checks to the recorded evidence, document assumptions, and retain a concrete verification result before changing a live system.
Spanprism analyzes imported trace payloads and timestamps. It does not collect live telemetry, account for backend sampling transformations, or prove causality. Confirm clocks, instrumentation, sampling, and service behavior in the source systems.