get_manufacturing_anomalies
shallowio.github.SupplyMaven-SCR/supply-chain-intelligence · Verify this server
Detect unusual electricity demand patterns that signal manufacturing disruptions before they appear in official reports. Monitors 8 US power grid regions (PJM, MISO, ERCOT, CAISO, SPP, ISNE, NYISO, NW) for demand anomalies — sudden drops indicate factory shutdowns, surges indicate production ramp-ups. Returns current SMI score with regional breakdown plus anomalies from the past 7 days ranked by severity. The Supply Manufacturing Index (SMI) uses patent-pending weather normalization to isolate industrial demand from weather-driven consumption. Used by commodity traders for early manufacturing signals and procurement teams to anticipate supply changes.
1 trials · measured 8 days ago
get_manufacturing_anomalies scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.SupplyMaven-SCR/supply-chain-intelligence, 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
- open
- Category
- Finance & compliance
- 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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