AI · alternatives · 2026
24 alternatives to burnban
Meter and cap AI agent spend on your own machine
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites.
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Track your AI spend and connect it to business outcomes
Aug 2026 · rippling.com · its alternatives →
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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 · its alternatives →
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CodeBurn▲103See where your AI coding spend actually goes
Aug 2026 · codeburn.app · its alternatives →
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Activepieces▲212We observed two main points in the AI automation industry that led us to these decisions: 1. *Compute is so much cheaper now compared to 15 years ago. Why are users still paying like it’s 2010?* So, we made tasks/runs unlimited on all our paid cloud plans. We still have an open-source, self-hosted version, but for cloud users, they will now pay for premium features and have the freedom to use them as much as they want. 1. *Building a good AI agent is a knowledge transfer task, so everyone should be able to build their own agents.* If every time I need to automate something or build an…
2023 · activepieces.com · its alternatives →
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Conduit▲137Fix the tool-list bloat slowing your AI agent
Jun 2026 · toolport.app · its alternatives →
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Credyt▲100Hey HN! I'm the founder of Credyt (https://credyt.ai). If you're running an AI product that burns $0.50+ per interaction, you need to bill customers as usage happens, not at the end of the month. Otherwise you're a bank for your customers, and you'll run out of money before they do. Why invoice-based billing doesn't work for AI: Most usage-based billing tools (Stripe Billing, Orb, etc.) were built for SaaS. They meter usage all month, then send an invoice. That works fine when your COGS is 5%. It's a disaster when you're paying your AI vendor upfront for every request and your…
Nov 2025 · credyt.ai · its alternatives →
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delegare▲70Hi guys, am building SecureLend.ai and when working on our underwriting agents (free trial, paid after) I had issues with seamless payment options. Of course I looked at x402 which I believe is a great protocol but not a fan of a) sharing private keys with the agent b) having a human in the loop or c) similar workaround e.g. pre-funded wallets So I started building out a solution. For my use case it was important to not only have stablecoins but also a fiat rail which is now implemented using Stripe. Initially I build a mandate system internally but am very glad and big shoutout to the guys…
Apr 2026 · delegare.dev · its alternatives →
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Spotify Wrapped for Claude, Codex & a Public leaderboard.
Jun 2026 · whoburnedmore.com · its alternatives →
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Catch your AI agent before it drains your wallet
Jun 2026 · burnwatch.dev · its alternatives →
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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 · its alternatives →
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Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
Jul 2026 · oodle.ai · its alternatives →
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NovumOS▲6Assign kanban cards to AI agents. An agent seat is $1
Aug 2026 · novumos.app · its alternatives →
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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 · its alternatives →
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Know exactly what your team is using Claude for
Jun 2026 · aitokenscope.com · its alternatives →
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Full visibility into your AI spend, before it goes rogue
Aug 2026 · neatproxy.com · its alternatives →
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Usage, cost, and behavior tracking for AI coding agents
Jul 2026 · tokenbasehq.com · its alternatives →
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Your agents spend autonomously. You set the budget, the vendors, and the limits.
May 2026 · arden.sh · its alternatives →
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Know exactly which AI agent is burning your budget.
Apr 2026 · agensights.com · its alternatives →
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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 · its alternatives →
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See which feature or agent loop is burning your LLM budget
Jun 2026 · tokencurb.vercel.app · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →