did_it_change

shallow

io.github.beepboop2025/noisefloor · Verify this server

Scan one chronological numeric metric for departures from its own preceding observations, using a descriptive rank-based Shiryaev-Roberts monitor. Use this for a change-review queue; choose real_or_sampling when a measurement denominator may explain the movement, market_assessment when source/freshness gates matter, or spectral_assessment for a multi-series correlation panel. The first eight readings warm up the reference; comparison starts at reading nine. An alarm resets the reference and starts warmup again. Returns state (warming_up, steady, watch, changed), monitoring_statistic, direction, zero-based change_points and effect (delta in input units, robust_z, percentile from 0 to 100). The evidence field is a compatibility alias, not a calibrated e-value or p-value; never use it to assert valid_evalues in which_metrics_matter. No alarm does not establish stability. Example: {"values":[10,11,9,10,12,10,9,11,20]}.

100.0/100

1 trials · measured 2 days ago

did_it_change 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: did_it_change
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did_it_change — Vouch