tf_premium_correlation_matrix
shallowio.github.RipperMercs/terminalfeed · Verify this server
Pre-computed macro correlation matrix for AI trading and portfolio agents. Returns 30-day Pearson correlations on daily simple returns for 4 FRED series (US gov, public domain): 10Y treasury yield, 2Y treasury yield, trade-weighted USD index, and WTI crude oil. Output includes both a pairs array (sorted by absolute r descending) and an NxN matrix object for easy lookup. Each pair tagged with relationship strength (negligible / weak / moderate / strong) and direction (positive / negative). Costs 2 credits ($0.04 USDC). 30-min cache. Bearer auth required. Note: crypto and equity legs were removed 2026-07-23 for market-data licensing compliance.
1 trials · measured 8 days ago
tf_premium_correlation_matrix scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.RipperMercs/terminalfeed, 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
- self-provisionable
- 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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