com.emergentphysicslab/waveguard

up checked 2026-11-11T13:38:10.932Z

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Publisher-provided title

WaveGuard

Publisher-provided description

Anomaly detection API powered by physics simulation. Scan any data for outliers.

Summary by lookupd

Detects anomalies and outliers in datasets, time series, and crypto market data, and compares or scores items for risk.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http waveguard https://gpartin--waveguard-api-fastapi-app.modal.run/v2/mcp

Codex, remote (streamable-http)

codex mcp add waveguard --url https://gpartin--waveguard-api-fastapi-app.modal.run/v2/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "waveguard": {
      "url": "https://gpartin--waveguard-api-fastapi-app.modal.run/v2/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (19 tools)

Publisher-provided text

• waveguard_scan Find outliers and anomalies in structured data — ideal as a second step after pulling records from Google Sheets, Airtable, Supabase, Notion databases, HubSpot,
• waveguard_scan_timeseries Detect anomalies in time-series data — use after pulling numeric metrics from monitoring APIs, financial data sources, IoT sensors, or spreadsheet columns. Send
• waveguard_health Check WaveGuard API health, GPU availability, version, and engine status. No authentication required. Returns status, version, and GPU info.
• waveguard_fingerprint Get a physics embedding of any data item (52-dim at Level 0, 62-dim at Level 1 with phase statistics). The fingerprint captures structural properties via wave-e
• waveguard_compare Compare two data items for structural similarity using physics-based fingerprints. Returns cosine similarity (0–1) and Euclidean distance. Use for duplicate det
• waveguard_token_risk Assess crypto token legitimacy risk. Send metrics from known-good tokens as training (price, volume, holders, liquidity, market_cap, age_days, etc.) and suspect
• waveguard_wallet_profile Profile wallet behavior against baselines. Send normal wallet transaction patterns as training (tx_count, avg_value, unique_tokens, gas_spent, active_days, etc.
• waveguard_volume_check Detect wash trading and fake volume in OHLCV candle data. Send known-legitimate candles as training and suspect candles as test. Detects artificial volume spike
• waveguard_price_manipulation Detect price manipulation in time-series data. Send a price or price+volume history as a numeric array. Early windows define 'normal' trading, recent windows ar
• waveguard_market_data Fetch live crypto market data from CoinGecko and DexScreener. No external data needed — WaveGuard pulls it for you. Use 'coin_id' for CoinGecko (e.g. 'bitcoin'
• waveguard_counterfactual Run baseline plus counterfactual variants and measure verdict/score sensitivity.
• waveguard_trajectory_scan Analyze sequence drift and regime shifts over ordered samples.
• waveguard_instability Estimate instability under controlled perturb-and-resolve trials.
• waveguard_phase_coherence Measure coherence/entropy and collapse-risk indicators for candidate data.
• waveguard_interaction_matrix Compute pairwise interaction matrix and cluster decomposition for entities.
• waveguard_cascade_risk Estimate shock propagation and resilience from adjacency-linked entities.
• waveguard_mechanism_probe Run targeted interventions and rank effect sizes.
• waveguard_action_surface Score candidate actions and extract robust action zones.
• waveguard_multi_horizon_outlook Compute horizon-specific anomaly outlook and consistency across windows.

Details

• Version: 3.1.0
• Transports: streamable-http
• Uptime (7 days): 78%
• Median latency: 10399 ms
• First indexed: 2026-11-01T08:53:52.051Z
• Last seen in registry: 2026-11-01T08:53:52.061Z
• Repository: https://github.com/gpartin/LFMAnomalyDetection
• Website: https://github.com/gpartin/WaveGuardClient

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