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Tokentab analyzes AI model token usage locally

By PulseAugur Editorial · [1 sources] ·

Tokentab is a new command-line tool designed to analyze token usage and costs for various AI models. It processes local session logs from models like Claude Code, Codex, and Gemini CLI, providing detailed breakdowns by model, project, and date. The tool operates entirely offline, requiring no API keys or accounts, and can output data in JSON format or display it visually through a local web interface. AI

IMPACT Provides developers with a local tool to manage and understand AI model costs, potentially optimizing usage.

RANK_REASON This is a new product release for a specific tool.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tokentab analyzes AI model token usage locally

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13 / 100
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Tool
This is a new product release for a specific tool.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · latreon ·

    68 new stars this week. Tokentab parses local session logs from Claude Code, Codex, and Gemini CLI to calculate token usage and costs by model, project, and day

    68 new stars this week. Tokentab parses local session logs from Claude Code, Codex, and Gemini CLI to calculate token usage and costs by model, project, and day. It runs entirely locally without API keys or accounts, reading JSONL and JSON log files directly from disk. Output can…

    LINKS github.com/…/tokentab

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