Skip to main content
Glama
defog-ai

analysis-gym

Official
by defog-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to analysis-gym

No user-submitted related servers found.

    Related Servers

    • desk

      Saivikaskillamsetty
      F
      license
      A
      quality
      B
      maintenance
      Provides multi-agent equity research for US markets with provenance-backed financial data from SEC EDGAR, technicals, macro, and Alpaca paper trading, enforcing risk limits and journaling theses.
      27
      -

    • OpenInvest

      longsizhuo
      A
      license
      A
      quality
      A
      maintenance
      Investment decision tools for AI agents: portfolio status, isolated multi-agent committee analysis, auditable verdict history, and lookahead-protected backtests. Advisory only, no auto-trading; negative research results published.
      21
      2,006 PyPI
      107
      MIT

    • agiscorecard

      f-tiger
      F
      license
      Not graded
      quality
      B
      maintenance
      Auditable AGI-2027 evidence: eight graded Situational Awareness predictions with pre-registered flip conditions, a 0-100 Thesis Tracker with full score history, and a public market-call ledger where misses stay published. Free, no auth, CC BY 4.0.
      -

    • Guardian MCP

      Dozie2001
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to propose stock, ETF, and crypto trades through Alpaca paper trading while enforcing deterministic policy rules and recording every decision in an audit trail.
      17 npm
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose: recording predictions, recording actuals, and fetching results. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (get_results, record_actuals, record_prediction), making them predictable and easy to understand.

    Tool Count5/5

    With 3 tools, the server is tightly scoped to the core operations of the earnings analysis domain—recording predictions, recording actuals, and retrieving results. No unnecessary tools.

    Completeness5/5

    The tool surface covers the full lifecycle of the domain: creating predictions, recording actuals to settle them, and retrieving results with performance metrics. No obvious gaps.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources