Wolfpack Intelligence
Server Details
On-chain security and market intelligence for trading agents on Base.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
4 tool updates
- Removed
mega_report - Removed
narrative_momentum - Removed
smart_money_signals - Removed
trade_signals
1 tool update
- Removed
kol_alpha_tracking
2 tool updates
- Added
kol_alpha_tracking - Added
trade_signals
1 tool update
- Changed
graduation_readiness_check1 field changed- removed
Input schema / properties / tierRemoved value: -{ - "description": "Check tier: \"lite\" (metadata only, $0.01) or \"full\" (live test fires, $1.00). Default: lite", - "type": "string" -}
1 tool update
- Added
agent_credit_risk_index
1 tool update
- Added
graduation_readiness_check
5 tool updates
- Added
il_calculator - Added
mega_report - Added
prediction_market - Added
technical_analysis - Added
yield_scanner
2 tool updates
- Added
smart_money_signals - Added
token_market_snapshot
4 tool updates
- First observed
agent_trust_score - First observed
narrative_momentum - First observed
security_check - First observed
token_risk_analysis
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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Most tools have distinct purposes, such as agent_credit_risk_index for credit scoring and token_market_snapshot for market data. However, there is some overlap between security_check and token_risk_analysis, both involving token security, which could cause confusion. The descriptions help differentiate them, but the boundaries are not entirely clear.
The naming is mixed with some consistency in using snake_case (e.g., agent_credit_risk_index, graduation_readiness_check), but there are deviations like il_calculator and yield_scanner that use different styles. The verbs vary (e.g., 'calculate', 'check', 'scanner'), making it readable but not fully predictable.
With 10 tools, the count is well-scoped for a server focused on crypto and agent intelligence. Each tool appears to serve a specific function within this domain, such as risk analysis, market data, and agent scoring, without feeling excessive or insufficient.
The toolset covers key areas like agent analysis, token assessment, and market tools, providing a broad surface for crypto intelligence. Minor gaps exist, such as no direct tools for portfolio management or transaction execution, but agents can likely work around these with the available data and analysis tools.