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Prediction markets, on-chain flows, ETF flows, equities and macro intelligence for AI agents.

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Status
Unhealthy
OAuth
Not checked
Last Tested
Transport
Streamable HTTP
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Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 21 tool updates
    • First observedcrypto_derivatives
    • First observedcrypto_etf_flows
    • First observedcrypto_funding
    • First observedcrypto_liquidations
    • First observedcrypto_whale_transfers
    • First observedequity_gamma
    • First observedequity_signals
    • First observedinstitutional_holdings
    • First observedkresmion_brief
    • First observedkresmion_status
    • First observedkresmion_topup
    • First observedmacro_regime
    • First observedprediction_calendar
    • First observedprediction_calibration
    • First observedprediction_divergence
    • First observedprediction_execution_cost
    • First observedprediction_market_detail
    • First observedprediction_market_history
    • First observedprediction_markets
    • First observedprediction_movers
    • First observedprediction_order_book

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TDQS

A4.4/5.0
Disambiguation5/5

Every tool has a clearly distinct purpose, from crypto derivatives and funding to equity signals and prediction market analysis. Even within the large set of prediction market tools, each covers a unique aspect (search, detail, history, order book, execution cost, calendar, calibration, divergence, movers). The only potential overlap is between kresmion_brief and individual tools, but the brief is explicitly a digest, and deeper drilling into specific families is reserved for the specialist tools.

Naming Consistency4/5

Most tools follow a clear prefix convention: crypto_*, equity_*, prediction_*, macro_*, institutional_*. A few deviations exist: 'kresmion_brief', 'kresmion_status', 'kresmion_topup' use 'kresmion_' instead of a category prefix, and within prediction, some tools include 'market' in the name (prediction_market_detail, prediction_market_history) while others do not (prediction_calendar, prediction_divergence). Overall, the naming is consistent and predictable.

Tool Count5/5

With 21 tools covering crypto, equities, macro, prediction markets, and utility functions, the number is well-suited to the server's purpose. It provides comprehensive coverage without being overwhelming. Each tool earns its place, and there is no sense of bloat or triviality.

Completeness4/5

The tool set covers major domains (crypto, equities, macro, prediction markets) with strong depth, especially in prediction markets and crypto. Minor gaps exist: equities lack tools for corporate actions or fundamental data, and macro coverage is limited to a single regime tool. However, for a data-focused platform, the coverage is very good and enables many use cases.

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