filter_brands_by_fba_share
shallowcom.webotee/amazon-product-research-mcp · Verify this server
Return brands whose FBA buybox share is below or above a threshold. FBA share is computed as fba_buybox_days / total_buybox_days * 100 (percentage, 0-100). Use fba_share < 40 to find FBM-heavy brands (carriers hold real inventory) or fba_share > 80 for FBA-dominated brands. Supports sort by control_score (heat), unique_sellers, or brand_bought_past_month_30d. For a single NAMED brand's profile, evaluate_brand is the better first call — this tool is for screening lists.
1 trials · measured 8 days ago
filter_brands_by_fba_share scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.webotee/amazon-product-research-mcp, 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/1d6615b1-100f-4677-9b0c-c865615d90e5)