Compare/Claudoscope vs Extractor

AI tool comparison

Claudoscope vs Extractor

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

C

Developer Tools

Claudoscope

macOS menu bar app to browse, search, and cost every Claude Code session

Ship

75%

Panel ship

Community

Free

Entry

Claudoscope is a free, open-source macOS menu bar app that gives Claude Code users a full session history browser, cost analytics, and search across all their coding sessions. It reads directly from local JSONL session files in ~/.claude/projects/ and works entirely offline — no telemetry, no data sent anywhere, fully MIT-licensed. The tool estimates costs from raw token counts against published API pricing, giving developers a clear picture of where their Claude Code spend is going across projects and sessions. It also automatically scans for leaked API keys and credentials in session content — effectively adding a passive security audit to every session review. Claudoscope fills a real gap: Claude Code's built-in /cost command only covers the current session. Claudoscope gives historical visibility and project-level analytics. It works with any Claude Code deployment including Enterprise API setups where cookie-based session trackers fail. Built and maintained by an indie developer, free forever.

E

Developer Tools

Extractor

Robust LLM-powered web data extraction in TypeScript

Ship

100%

Panel ship

Community

Free

Entry

Extractor by Lightfeed is a TypeScript library that uses LLMs to extract structured data from websites. It handles messy HTML, JavaScript-rendered content, and inconsistent page layouts that break traditional scrapers. Define your schema and let the LLM figure out where the data lives.

Decision
Claudoscope
Extractor
Panel verdict
Ship · 3 ship / 1 skip
Ship · 3 ship / 0 skip
Community
No community votes yet
No community votes yet
Pricing
Free / Open Source (MIT)
Free / Open Source
Best for
macOS menu bar app to browse, search, and cost every Claude Code session
Robust LLM-powered web data extraction in TypeScript
Category
Developer Tools
Developer Tools

Reviewer scorecard

Builder
80/100 · ship

As someone who runs Claude Code 8+ hours a day, this is immediately valuable. I had no idea which projects were burning through tokens until I installed it. The leaked credential detection is a bonus I didn't expect — it already caught a test API key I'd forgotten to rotate.

80/100 · ship

Schema-driven extraction with LLM fallback is exactly right. Traditional scrapers break on every site redesign — Extractor adapts because it understands the content semantically. The TypeScript-first approach with strong typing on outputs is chef's kiss for building data pipelines.

Skeptic
45/100 · skip

This is fundamentally a log file reader with cost estimation math. Anthropic could ship this natively in Claude Code in a single PR and make Claudoscope obsolete overnight. The gap it fills is real, but the risk of deprecation-by-inclusion is very high for an indie-maintained tool.

80/100 · ship

LLM extraction costs add up fast at scale. But for the use cases where you need it — scraping sites with unpredictable layouts, extracting from pages that change frequently — the reliability improvement over CSS selectors easily justifies the token spend.

Futurist
80/100 · ship

The emergence of cost-tracking tools for AI coding sessions is a leading indicator of developer maturity. When developers start optimizing their AI spend like they optimize their AWS bill, we've crossed a real threshold. Claudoscope is primitive, but it's the first version of what becomes a full AI development economics dashboard.

No panel take
Creator
80/100 · ship

Indie developers and freelancers who need to track Claude Code costs against client projects will love this. The project-level breakdown finally makes AI tool costs legible as a line item on a client invoice — something that's been surprisingly hard to do until now.

80/100 · ship

I have been using this to pull structured data from competitor landing pages and product directories. The schema definition is intuitive and the extraction quality is surprisingly consistent even across wildly different page designs.

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