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Related Servers

Alternatives to SimpleFunctions

  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables interaction with the Kalshi prediction market platform through their REST API. Supports trading and market operations with secure RSA key authentication for both production and demo environments.
    28
    MIT

Related Servers

  • A
    license
    A
    quality
    D
    maintenance
    Prediction market probability oracle for AI agents. 26 tools across 500+ live markets from Kalshi and Polymarket. Cross-source arbitrage detection, structured TPF signals, Kelly Criterion sizing, agent performance tracking, and webhook alerts.
    9
    60 npm
    1
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  • A
    license
    A
    quality
    F
    maintenance
    Provides prediction market intelligence, research, and strategy signals for platforms like Kalshi, Polymarket, and Robinhood. It enables AI assistants to perform market screening, arbitrage detection, and deep causal analysis to support informed trading decisions.
    27
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Aggregates prediction market data from 5 major platforms (Manifold, Polymarket, Metaculus, PredictIt, Kalshi), enabling users to search markets, compare odds across platforms, detect arbitrage opportunities, and track predictions through natural language.
    8
    3
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Trade, analyze, and automate Polymarket prediction markets via AI. 34 tools for direct trading, smart money flow, copy trading, backtest, and portfolio management.
    48
    74 npm
    16
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    An AI-driven platform for analyzing Polymarket prediction markets using on-chain data, offering smart money tracking, sentiment analysis, and arbitrage detection via natural language queries.
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  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides AI-powered tools for searching Polymarket prediction markets and calculating financial metrics like expected value and Kelly bet sizing. It enables users to perform arbitrage scanning, news-based sentiment analysis, and market research through natural language interfaces.
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TDQS

A4.2/5.0

Scored across 16 tools

Disambiguation4/5

Tools are mostly distinct with clear descriptions, but the large number of 'get_*' tools (get_changes, get_context, get_edges, get_markets, get_trade_ideas, get_world_delta, get_world_state) could confuse an agent if not carefully read. However, each serves a unique purpose.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., create_thesis, enrich_content, get_markets). No mixing of conventions, making the naming predictable and clear.

Tool Count4/5

16 tools is slightly above the ideal range but still reasonable for the server's scope (thesis management, market data, enrichment). Each tool has a distinct role, and the count does not feel excessive.

Completeness3/5

The tool surface covers core thesis creation, listing, and evaluation, but lacks update and delete operations for theses. Additionally, there is no direct trade execution tool, which may be intentional. Notable gaps in lifecycle management.

Maintenance

ActivityMaintained
ResponsivenessSyncing