A
licenseA
qualityA
maintenancePre-computed financial market intelligence for AI agents. Stocks, crypto, and ETFs.
9
230
3
MIT
kresmion
by com.kresmion
Server Details
Prediction markets, on-chain flows, ETF flows, equities and macro intelligence for AI agents.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
A4.4/5.0
Tool DescriptionsA
Average 4.6/5 across 21 of 21 tools scored.
Server CoherenceA
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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{
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
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