A-

wolfpack-production.up.railway.app

https://wolfpack-production.up.railway.app/api/v1/mcp
92/100 · MCP Trust Grade · checked 7h ago · MCP 2025-06-18
Watched since 2026-06-03 — behavioral baseline locked. We re-check this server's tool surface on a schedule; if it adds, removes, or silently rewrites a tool (rug-pull), we record it.

What it offers — 10 tools · Database

token_risk_analysis

Comprehensive multi-source token risk scoring. Combines GoPlus honeypot detection, DexScreener liquidity analysis, Dune on-chain analytics, and Social

security_check

Fast GoPlus-only token security scan. Returns honeypot status, contract verification, ownership flags, and holder concentration. Sub-second response t

agent_trust_score

Composite agent reliability rating. Scores any ERC-8004/ACP registered agent on 4 pillars: ACP performance (40%), network position (25%), operational

token_market_snapshot

Comprehensive market data snapshot for any Base token via DexScreener. Returns price, volume (1h/6h/24h), liquidity, buy/sell ratio, price changes, ma

prediction_market

Crypto prediction market data from Polymarket. Returns current odds, volume, and liquidity for crypto-relevant events.

il_calculator

Calculate impermanent loss for standard AMM (x*y=k) or concentrated liquidity (V3) positions. Optionally compute net yield after IL with APY.

yield_scanner

IL-adjusted Base yield opportunities. Combines DefiLlama yields with IL analysis, ranks pools by risk-adjusted net APY.

technical_analysis

Deterministic TA indicators from GeckoTerminal OHLCV candle data. RSI(14), SMA(20/50), Bollinger Bands, support/resistance levels, volume profile, tre

graduation_readiness_check

Live graduation readiness audit for ACP agents ($5.00 USDC). Fires real test jobs against your services, scores job lifecycle handling, schema correct

agent_credit_risk_index

Financial credit risk scoring for ACP agents. Three pillars: realized liquidity (USDC balance vs job fees, 40%), execution reliability (success rate w

Spec conformance20%100
Security (OWASP MCP)30%100
Reliability / performance20%84
Tool hygiene15%80
Transparency / provenance15%90

Observed behavior

No proxied traffic observed for this host yet. Connect it at /connect and its grade gains a measured Reliability score + per-tool behavioral evidence — the half a static scan can't produce.

Findings

No blocking issues found in the static + spec checks.
Grade another server

We re-grade wolfpack-production.up.railway.app on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.

Share this report card

A 1200×630 card with the grade + audit — drop it in a post, Slack, or your repo.

MCP Trust report card — wolfpack-production.up.railway.app grade A-
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Embed this grade

A live badge — it re-verifies itself and shows current stability. Static scorecards can't. Paste it in your README or site to show users you're independently audited.

MCP Trust Grade A- · wmcp.sh
[![MCP Trust Grade A-](https://wmcp.sh/mcp/grade/wolfpack-production.up.railway.app/badge.svg)](https://wmcp.sh/mcp/grade/wolfpack-production.up.railway.app)
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Agents: check this before connecting

Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:

https://wmcp.sh/mcp/trust
How this grade is computed. An open, independent rubric — Spec conformance (20%), Security mapped to the OWASP MCP Top 10 (30%), Reliability (20%), Tool hygiene (15%), Transparency (15%) — run by connecting to the server and inspecting its real MCP surface. The grade is free and identical whether or not the operator pays. v1 uses static + spec signals from a single connection; continuous uptime, real latency, and annotation-truthing (declared readOnly vs observed behavior) layer on via the wmcp.sh proxy.