get_refunds
shallowcom.ask-ai-data-connector/ask-ai · Verify this server
Get refund/return analytics. Reports: summary (total refunds, refund rate, % of revenue — supports compare for WoW/MoM/YoY trend), top_products (most refunded products by amount or rate), by_reason (classifies refund notes into buckets: size_fit_too_small, size_fit_too_large, quality_defect, wrong_item, shipping_late_or_lost, color_style_mismatch, comfort, changed_mind, duplicate, out_of_stock — with top affected products and sample verbatim notes per bucket. The out_of_stock bucket is a fulfilment/overselling signal, not a customer preference. Best for diagnosing high refund rates).
1 trials · measured 8 days ago
get_refunds 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
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | 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
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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[](https://vouch.tools/tools/acec9860-6b91-4a76-bb29-202d52ecee07)