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Tokmeter

Tokmeter

by sriinnu
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TypeScript
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    • Cognitally

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      Enables AI coding agents such as Claude Code, Cursor, Codex, and OpenCode to query local token usage, costs, quotas, projects, and models through six strictly read-only tools. All data stays on the local machine, drawn from passively parsed session logs rather than uploaded telemetry.
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    • contextburn

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    • tokenchit

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      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.
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    • tokenscope

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    • Tallybook

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    Deploy Server
    Claude Code, inside the Godot 4 editorFlockbay puts an AI agent in the real Godot 4 editor: it writes GDScript, runs your game and fixes what breaks. Free, or bring your own Claude Code or Codex.flockbay.comAd

    TDQS

    A3.8/5.0

    Scored across 22 tools

    Disambiguation4/5

    The descriptions are unusually good at disambiguating each other, explicitly routing agents (e.g. totals → tokmeter_pulse, per-model → tokmeter_models, caching dollars → tokmeter_cache_efficiency). Some residual overlap remains among the analytical views — leaderboard vs. compare vs. models, efficiency vs. cache_efficiency, budget vs. budget_alert, and model_advisor vs. cost_optimization_tips — but the cross-references keep misselection unlikely.

    Naming Consistency4/5

    All 22 tools share the tokmeter_ prefix and snake_case, giving a predictable, readable namespace. The style is topic-noun oriented (providers, projects, heatmap, timeline) rather than a strict verb_noun pattern, and a few names are verbs (search, compare, export), but the convention is internally consistent.

    Tool Count3/5

    22 tools is on the heavy side for a usage-analytics server, and several are narrow slices of the same data (streaks, heatmap, timeline, digest, pulse). Each has a plausible use, but the surface feels broader than strictly necessary and invites choice paralysis.

    Completeness4/5

    Coverage of the analytics domain is strong: overview, per-provider/project/model rollups, timeline, heatmap, forecast, anomaly, budgets, efficiency, caching, search, export, and cleanup preview with backup listing. Gaps are minor and deliberate — cleanup execution is not exposed over MCP (documented workaround) and there is no backup restore or settings/pricing-override tool.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

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