real_or_sampling

shallow

io.github.beepboop2025/noisefloor · Verify this server

Review whether the latest numeric metric departure persists after accounting for its historical linear association with measurement sample size. Use when both a dashboard metric and its coverage denominator are available; choose did_it_change when no denominator is known. Requires at least ten aligned pairs; shorter valid arrays return NOT_ENOUGH_HISTORY. The latest pair is excluded from the historical fit. Returns verdict, assessment, reading and, when estimable, metric_delta in input units, standardized departures, sample_size_change_pct as a percent of the historical median, fit and departure_after_conditioning. Prefer assessment/validity over legacy REAL or SAMPLING_ARTIFACT labels: linear association neither proves a sampling cause nor excludes confounding. Constant or weakly related histories can return UNCLEAR and null standardized values. Unequal array lengths or nonpositive sample sizes return a tool error.

100.0/100

1 trials · measured 1 day ago

real_or_sampling scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.beepboop2025/noisefloor, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote + stdio
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-20100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: real_or_sampling
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real_or_sampling — Vouch