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fairquery-llm-data-guard

fairquery-llm-data-guard

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    • A
      license
      A
      quality
      C
      maintenance
      Detects and redacts sensitive personal information such as names, emails, phone numbers, ID numbers, and locations in text before it is processed by AI agents, using configurable mask, hash, or remove strategies.
      1
      MIT
    • F
      license
      Not graded
      quality
      F
      maintenance
      Redacts PII from LLM traces and tool payloads before they leave review, enabling PII scanning, payload redaction, sensitive field classification, privacy receipts, and trace audit exports.
      -

    TDQS

    A4.7/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each tool has a distinct role (scan, poll, list reference types, restore), and descriptions explicitly tell agents when to use one over another. The only real overlap is guard_text mode="restore" versus restore_placeholders, but the description flags this and steers agents to the free tool.

    Naming Consistency5/5

    All four names follow a clean verb_noun snake_case pattern (guard_text, get_run_results, list_detectors, restore_placeholders). No casing or verb-style deviations.

    Tool Count4/5

    Four tools is on the lean side but each maps to a distinct stage of the redact/restore round trip, so nothing feels redundant. It is well-scoped for the domain, though there is little slack.

    Completeness4/5

    The lifecycle (discover types -> detect/redact -> poll async run -> restore) is fully covered, including an async path and a free local restore. Minor gaps exist: no abort/run-management tool (explicitly deferred to the Apify console) and no OCR/image handling.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing