get_anomalies

shallow

com.ask-ai-data-connector/ask-ai · Verify this server

Anomaly detection across revenue, conversion rate, and refund rate for each of your stores (works for a single store too). Compares the most recent 7-day window against the prior 4 weeks and flags moves outside +/- 1.5 standard deviations or 25% — whichever is stricter. Returns ranked anomalies with store, metric, current vs baseline, severity, and a one-line explanation. High-severity anomalies carry EITHER `drivers`+`driverSummary` (the tag/source/country slice that drove the move) OR `driversNote` (attribution ran, the move is broad-based — sitewide cause, not one channel), plus an `investigate` block: the exact next tool call WITH the anomaly's own window. USE `investigate` VERBATIM — the target tool's default 30-day window will NOT show a one-week move. Use as a session opener: 'anything weird happening?'.

100.0/100

1 trials · measured 8 days ago

get_anomalies scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.ask-ai-data-connector/ask-ai, measured 25 Aug 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
Credential class
gated
Category
Commerce & retail
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

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: get_anomalies
[![Vouch score](https://vouch.tools/api/tools/cda6ac61-06ee-4e34-8392-349b17227f69/badge.svg)](https://vouch.tools/tools/cda6ac61-06ee-4e34-8392-349b17227f69)
get_anomalies — Vouch