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    Provides unofficial access to Philippine Stock Exchange data including quotes, price history, disclosures, financial reports, and market data via MCP.
    15
    163 PyPI
    MIT
  • A
    license
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    quality
    D
    maintenance
    Provides AI assistants with real-time prediction market consensus data, including probabilities, opportunities, signals, and settlements.
    5
    MIT
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    Real-time prediction market consensus data for AI agents. Aggregates probabilities from 27,000+ markets across politics, sports, and economics with 14-second updates. Tools: get_markets, get_consensus, get_movers, get_divergences, search_markets.
    5
    MIT
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    Provides read-only tools to retrieve source-linked catalyst evidence dossiers for public-company tickers, including deterministic catalyst scores and paged source records.
    2
    68 PyPI
    MIT
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    Provides calibrated weather probability signals for Kalshi prediction markets by combining dual-model forecasting (NWS + GFS ensemble) to identify mispriced temperature markets. Enables AI agents to access bias-corrected forecasts and edge signals for weather prediction market intelligence.
    5
    MIT
  • F
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    B
    maintenance
    Enables personal agents and users to evaluate purchase impulses by applying cooling-off friction timers and converting spending amounts into net work-hour wage equivalents. It returns deterministic, actionable decision output that helps delay or reject impulsive spending before it happens.
    7
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    Grades prediction market trade logs to determine if a strategy has a statistically significant, fee-adjusted edge using out-of-sample holdout, returning a signed verdict.
    91 npm
    MIT
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    Enables AI agents to access banking data APIs and list customers, connections, accounts, and posted transactions, with metering tied to the caller’s own API key.
    MIT
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    B
    maintenance
    Provides a consolidated 0DTE options cockpit for SPX/SPXW, including chain, Greeks, dealer exposure, volatility term structure, and economic events, using free delayed market data.
    2
    MIT
  • F
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    quality
    B
    maintenance
    MCP server that acquires ASX market data snapshots for specified symbols, validates their integrity, and exposes a test tool that checks Tier-1 eligibility via an HTTP endpoint.
    -
  • F
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    B
    maintenance
    Enables personal AI agents to evaluate purchase impulses by applying cooling-off friction timers and converting costs into net work-hour wage equivalents. It returns prioritized, deterministic recommendations that help users pause, reflect, and make more deliberate financial decisions.
    7
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    From idea to edge. Everyone has unique opinions and views of the world. Varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. The issue with LLMs testing for edges in the market is redundant idea loops, overfit with confidence, and waste days exploring nonsense. Varrd is the infrastructure and guardrails to prevent those f
    9
    12,729 PyPI
    24
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts.
    16
    196 npm
    12
    MIT
  • A
    license
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    Description: AI-powered Polymarket prediction market analysis via Bitcoin Lightning. Get edge opportunities, analyze specific markets, and find ranked signals. Pay per analysis in sats.
    4
    14 npm
    1
    MIT
  • A
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    MCP server for EdgeX perpetual contract trading, providing 16 AI agent tools for market data, account management, and order execution.
    17
    16 npm
    MIT
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    Quant tools for AI agents on Kalshi & Polymarket. 34 tools, 27 free with no key: EV, Kelly sizing, Bayes updates, odds conversion, base-rate gaps, combo grading, Fed odds, NFL and NHL models, 2026 Senate race odds, Kalshi weather board and Kalshi 15-minute markets + perps (live board + liquidation estimates). Pro adds commodity + NFL edge models, mispricing scanner and alerts.
    33
    196 npm
    MIT
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    Enables statistical validation of whether a trading backtest’s edge is real using bootstrap-resampling and reshuffling Monte Carlo methods, including confidence intervals, drawdown-path percentiles, expected value calculations, and prop-firm challenge pass-probability simulation. It also compares multiple win-rate/risk-reward geometries by simulated pass rate.
    MIT
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    Provides betting intelligence and analytics tools including exposure, CLV, sharp scoring, live betting, and Fantasy402 integration, running on Cloudflare Edge.
    8
    MIT