AI TokenScope
Know exactly what your team is using Claude for
What it does
Your team is using Claude. Your Anthropic bill is a black box. - AI TokenScope drops in as a proxy — one env variable change, no code rewrites. Every request is logged, scored for relevance to the project it's supposed to serve, and tracked by team, department, and cost center. Budgets are enforced at the proxy level, not discovered after the invoice. - Real-time dashboard, full audit log, and board-ready cost reports. Free plan included.
Does the same job
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- SCSend Claude Code tasks to the Batch API at 50% offFeb 2026 · github.com · ▲23
Hey HN. I built this because my Anthropic API bills were getting out of hand (spoiler: they remain high even with this, batch is not a magic bullet). I use Claude Code daily for software design and infra work (terraform, code reviews, docs). Many Terminal tabs, many questions. I realised some questions are ok to wait on and with that comes some cost savings. So here is a small MCP that lets you send work directly to Anthropic's Batch API from inside Claude Code, for the same quality responses just 50% cheaper, results come back in ~30min-1hr. How it works: you type /batch review this…
1ClickReport — Marketing AI in ClaudeJun 2026 · 1clickreport.com · ▲27Run Google Ads, Meta & GA4 from Claude — you approve
- IAI am running 3 coding agents non-stop over the last 3 days. Here is howJun 2026 · ▲10
1. Headless mode Headless mode allows you to use the AI as a command-line utility for automation and scripting. In Claude Code you run it with the -p flag: claude -p, in codex - exec, opencode - run. 2. Ask human The traditional communication channel with the operator won't work in headless mode - we need to implement a dedicated tool. Here is an example of how this can be done https://github.com/sermakarevich/claude/tree/main/mcp/ask_hu... 3. Tasks queue Beads is a lightweight distributed graph issue tracker for AI agents, powered by Dolt. You can…
- HWHow well do you use Claude Code?Jul 2026 · ▲21
A bunch of companies that I spoke to had their own claude & codex OTel dashboards that showed spend + seats per month. However, none of the dashboards actually analyzed how the engineers worked with the tools and if there were any areas for improvement! That's why I created https://www.promptster.ai. Managers get aggregate level view of code quality and how that ties with team workflows (nothing on a per-engineer level). While engineers get personalized coaching on how they can save tokens while keeping output high. We also have a tool built for individuals to test their local…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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