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Alternatives to claudeusage

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Reads the Claude Code, Codex and OpenCode usage logs already on your machine and reports token totals, per-day and per-hour activity, a per-agent and per-model breakdown, and a year-in-review recap. It makes no network request at all — a test fails if any source file in the package can open a socket.
      4
      14
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Analyzes Claude Code session token usage and cost locally — where spend actually lands across cache-read, cache-write and output, and what is consuming the context window. Read-only and offline: it parses your own session files and exposes analyze_claude_cost, get_cost_benchmark and tokenscope_share_summary.
      27 npm
      4
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Lets a coding agent inspect its own run efficiency mid-session from local Claude Code transcripts, exposing the share of paid tokens that became model output versus context re-reading. Ships two stdio tools — one returning the shares as structured data and one returning the full cost-weighted report — with no network calls.
      2
      MIT

    TDQS

    A3.7/5.0

    Scored across 4 tools

    Disambiguation4/5

    subscription_value and current_limits are clearly distinct, and the detailed descriptions make limit_breakdown and chat_share distinguishable as mechanism analysis vs. cross-product attribution. An agent skimming names alone could conflate the two rate-limit tools, but the descriptions resolve the ambiguity.

    Naming Consistency4/5

    All four names are lowercase snake_case compound nouns, which gives the set a consistent shape. The convention is not verb_noun like typical action tools, and chat_share is a bit ambiguous semantically, but there is no jarring style mixing.

    Tool Count5/5

    Four tools is compact but each one earns its place: local usage value, limit drivers, chat attribution, and live limit status. The server scope is narrow enough that this feels well-scoped rather than thin.

    Completeness4/5

    The set covers the core workflows: measuring local value, explaining limit consumption, attributing non-local usage, and querying current limits. The main gap is that current_limits can record samples to a log, but no tool reads that history back for time-series analysis.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues