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Alternatives

Products that do what tokencap does

Track token usage and enforce budgets across your AI agents

  1. 1TT

    I built this after hitting the same wall repeatedly — no good way to enforce token budgets in application code. Provider caps are account-level and tell you what happened, not what is happening. Two ways to add it: # Direct client wrapper client = tokencap.wrap(anthropic.Anthropic(), limit=50_000) # LangChain, CrewAI, AutoGen, etc. tokencap.patch(limit=50_000) Four actions at configurable thresholds: WARN, DEGRADE (transparent model swap), BLOCK, and WEBHOOK. SQLite out of the box, Redis for multi-agent setups. One design decision worth mentioning: tokencap tracks tokens, not dollars. Token…

    Apr 2026 · github.com

  2. 2

    Count tokens and estimate costs for any AI model

    2024

  3. 3
    Bursora26

    Cap your AI spend before the bill lands

    Jul 2026 · bursora.com

  4. 4
    Orite76

    Give your AI Agent money. Not a blank check.

    Aug 2026 · orite.tech

  5. 5

    Give AI agents access to real-time data across 200+ apps

    May 2026 · apideck.com

  6. 6AA

    Your AI agent hits an infinite loop and racks up $2000 in API charges overnight. This happens weekly to AI developers. AgentGuard monitors API calls in real-time and automatically kills your process when it hits your budget limit. How it works: Add 2 lines to any AI project: const agentGuard = require('agent-guard'); await agentGuard.init({ limit: 50 }); // $50 budget // Your existing code runs unchanged const response = await openai.chat.completions.create({...}); // AgentGuard tracks costs automatically When your code hits $50 in API costs, AgentGuard stops…

    2025 · github.com

  7. 7

    Per-workflow budget caps and kill switch for AI agents

    Apr 2026 · tokenfence.dev

  8. 8

    Cut your AI token costs by 40-60% with one API call

    Feb 2026

  9. 9

    See your LLM token bill before you hit send.

    2025

  10. 10

    Give AI agents spending power without giving up control

    Apr 2026 · delegare.dev

  11. 11

    I wanted to share a project I’ve been working on called Frugal Tokens. I originally built it because I was curious to see how much all of my sessions cost and how much cache misses affected that spend. I’d noticed people had widely different spend profiles and wanted to better understand what might contribute to that. As I’ve worked on this, the tool has grown to show more usage patterns across all of your sessions. It shows overall usage, estimated working time and overlapping sessions, and where your spend is coming from across models and cache misses. I also have a few session level…

    18d ago · demo.frugaltokens.com

  12. 12

    Usage, cost, and behavior tracking for AI coding agents

    Jul 2026 · tokenbasehq.com

  13. 13

    AI Token and cost observability for developers

    24d ago · tokenuse.ai

  14. 14

    Know exactly what your team is using Claude for

    Jun 2026 · aitokenscope.com

  15. 15TT

    I use multiple AI tools for work and also my side projects, and the annoying part was to track my costs and token usage across tools. Everytime I had to visit each tool and its respective usage setting to check it and I was losing patience and also was getting hit by surprise limits Now I know that there are already free/open-source trackers for Cursor or Claude usage, and they are useful if that is all you need. My problem is broader as I wanted one small place to see tokens, spend, subscriptions and limits across the AI tools I actually use. I was really tired of switching tabs and…

    Jul 2026 · lifehacksgermany.com

  16. 16

    Hey HN - there are lots of tools to understand how many tokens you use and how much it costs, but we haven't found any that tell you where those tokens are going! Decant helps you understand what you are spending tokens on (context gathering, planning, code, chat, etc), so you can optimize it.

    25d ago · github.com

  17. 17

    Calculate LLM tokens & costs before you send

    Jan 2026

  18. 18

    Give AI coding agents the context they actually need.

    29d ago · tokencap.vansharora.app

  19. 19IN

    Tl;dr: I trained a classifier to route to the least expensive model and reasoning depth to complete the request. Coupling that with additional automated token efficiency techniques has yielded 3x usage for the same spend. For anyone interested in trying it themselves: https://nerfguard.com Various teammates and I switched over to Codex from Claude Code recently. We still bounce between the tools, but Codex’s speed and steerability coupled with performance gains were hard to ignore. One of the downsides was that the per token pricing kicked in way sooner. This is happening across…

    Jun 2026

  20. 20

    Track and control AI token usage in real time

    May 2026 · chromewebstore.google.com

  21. 21

    Track AI rate limits & token usage in real time — free

    Jun 2026

  22. 22

    Stop runaway AI agents before they burn your budget

    Jun 2026 · agent-watch.dev

  23. 23AR

    Hey HN, I built AgentBudget after an AI agent loop cost me $187 in 10 minutes — GPT-4o retrying a failed analysis over and over. Existing tools (LangSmith, Langfuse) track costs after execution but don't prevent overspend. AgentBudget is a Python SDK that gives each agent session a hard dollar budget with real-time enforcement. Integration is two lines: import agentbudget agentbudget.init("$5.00") It monkey-patches the OpenAI and Anthropic SDKs (same pattern as Sentry/Datadog), so existing code works without changes. When the budget is hit, it raises BudgetExhausted before the next API…

    Feb 2026 · github.com

  24. 24

    Know how close you are to your AI limits.

    Jul 2026 · tokenez.tech

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