Skip to main content
Glama
korea-finance-factcheck

korea-finance-factcheck

Related Servers

Alternatives to korea-finance-factcheck

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Turns the Korean OpenDART disclosure system's 83 APIs into 15 tools so AI assistants can search filings, pull financial and equity data, parse XBRL with calculation checks, and convert HWP/PDF attachments into markdown. Layered on top are Buffett-style analyst frames such as insider-buying clusters, accounting-risk scores, and quality checklists for individual stocks.
      746 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to search Korean OpenDART disclosures, analyze financial, equity, and XBRL data, score insider signals and accounting anomalies, run Buffett-style quality checks, and convert HWP/PDF attachments into Markdown.
      746 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to query Korean OpenDART electronic disclosure data — disclosures, financials, equity, and XBRL — through 15 consolidated tools, including insider-trading signals, accounting-risk scoring, Buffett-style quality checklists, and HWP/PDF attachment-to-Markdown conversion.
      746 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to search Korean DART corporate disclosures, financial statements, ownership filings, and fully parsed XBRL, while converting HWP/PDF attachments into markdown. It also provides analyst-style frames such as insider trading signals, accounting-risk scoring, and Buffett-style quality checklists for comparing companies.
      746 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to query Korean DART electronic disclosures across 83 OpenDART APIs compressed into 15 tools, covering filings, financials, ownership, and XBRL with calculation verification. Adds Buffett-style analyst frames (insider signals, accounting risk scoring, quality checklists) and converts HWP/PDF attachments into Markdown.
      746 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to search Korean DART electronic disclosures, retrieve financial statements and fully parsed XBRL with calculation checks, and run analyst-style frames such as insider buy/sell cluster signals, 0-100 accounting risk scoring, and Buffett quality checklists. It also converts HWP/PDF filing attachments into markdown for direct reading and summarization.
      746 npm
      MIT

    TDQS

    A3.5/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each of the four check_* tools targets a clearly different artifact: DART financials, ratio direction, macro market data, and KRX stock closes, so an agent can pick correctly. The only overlap is check_all, which is an explicit batch wrapper over the other four rather than a genuinely ambiguous alternative.

    Naming Consistency4/5

    All five tools use a predictable snake_case check_<object> pattern, making the set easy to scan. check_all is a minor deviation in that it names an action scope rather than a checked object, but it still fits the prefix convention.

    Tool Count5/5

    Five tools is well-scoped for a narrowly defined fact-checking server, with one tool per error class plus a convenience aggregator. Every tool earns its place and there is no filler.

    Completeness4/5

    The surface covers the four main numeric-fact categories (unit magnitude, ratio direction, macro indicators, stock closes) and includes a null-safe aggregator that survives partial failures. Gaps remain around generic numeric/date/name-entity checks and explicit result formatting, but the core stated purpose is covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues