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autkucakan

market-research

by autkucakan

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Makes AI research agents accountable by giving every conclusion a traceable argument graph. Provides a persistent argument graph where claims require grounds and warrants for auditable, verifiable reasoning.
      2
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables local AI models to structure and reason through debates using argument maps, with claims and supporting/attacking arguments automatically validated and organized.
      8
      AGPL 3.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables coding agents to analyze a repository evidence-first, answering questions as verifiable claims with source evidence, targeted test observations, and reference resolution.
      5
      3
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to obtain structured, source-backed real-world evidence with provenance, freshness, conflicts, support levels, coverage, unresolved dependencies, and reusable integrity-checked receipts, including French company verification and beta import assessment.
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to create verifiable, replayable citations, search private knowledge bases, and publish Markdown with verified citation markers.
      MIT

    TDQS

    B3.2/5.0

    Scored across 47 tools

    Disambiguation4/5

    Most tools target distinct stages of the research pipeline, and descriptions clarify boundaries (e.g., lexical vs. semantic search, single vs. batch operations). However, the presence of legacy and batch variants (e.g., verify_claims vs. resolve_claims_batch) and multiple extraction submission paths introduces some ambiguity that an agent could misselect.

    Naming Consistency5/5

    All tool names use snake_case with a clear verb_noun pattern (e.g., create_research, get_research_state, submit_extracted_signals). Batch variants consistently add a _batch suffix, and no camelCase or mixed conventions appear.

    Tool Count2/5

    47 tools is far beyond the typical 3-15 range and exceeds the 25+ threshold for 'too many'. While the domain is complex, the sheer number increases cognitive load and risks tool selection errors.

    Completeness5/5

    The surface covers the full research lifecycle: creation, state management, stepping, extraction, verification, counterevidence, clustering, query lattice, source operations, search, comparison, analysis, and export. No obvious gaps in core workflows are apparent.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues