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79
/100
B ◉ Complete 66

WaveGuardClient

Physics-based anomaly detection via MCP. Uses Klein-Gordon wave equations on GPU to detect anomalies with high precision (avg 0.90). 9 tools: scan, fingerprint, compare, token risk, wallet profiling, volume check, price manipulation detection.

python by gpartin ★ 3 Last commit: 1 month, 1 week ago
MCP Surface Tools: 19 Prompts: 6
Schema Drift
Complete visibility — 6/6 applicable dimensions scored
✓ Schema Quality ✓ Protocol ✓ Reliability ✓ Docs & Maintenance ✓ Security Hygiene ✓ Schema Interpretability
Schema Quality
96
25% weight
Protocol Compliance
66
20% weight
Reliability
73
20% weight
Docs & Maintenance
75
15% weight
Security Hygiene
80
20% weight
Schema Interpretability
82
15% weight
30-Day Trend

Score History

Category Trends

30-Day Uptime

30 days ago Today

Latency Trend

Latest Health Check

Up
Status
0ms
Connect
6268ms
Initialize
2228ms
Ping
90.9%
7-day Uptime
2401ms
Latency p50
Checked 4 weeks, 1 day ago

Static Analysis

Metric Score Rating
Schema Completeness 100 Good
Description Quality 90 Good
Documentation Coverage 77 Good
Maintenance Pulse 70 Good
Dependency Health 50 Fair
License Clarity 100 Good
Version Hygiene 90 Good
Analyzed 1 month ago

Protocol Compliance

19
Tools Found
1369ms
Tools/List
Fail
Schema Valid
100/100
Error Handling
100/100
Fuzz Score
0/100
Smoke Test
Schema Issues (5)
waveguard_fingerprint.data: missing type definition
waveguard_compare.data_a: missing type definition
waveguard_compare.data_b: missing type definition
waveguard_counterfactual.base_test: missing type definition
waveguard_mechanism_probe.base_test: missing type definition
Probed 1 month ago
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