AI agents enter runaway loops and burn uncapped spend with no hard budget enforcement at the protocol level
In late 2025 four agents entered an infinite loop and ran for 11 days costing 47000 dollars. In 2026 Uber exhausted its entire annual AI budget in four months from Claude Code usage. A client accidentally burned 500 million dollars on Claude in one month due to unrestricted access. Cost alerts notify after the fact but do not stop the next API call. Token budgets are enforced before the call but no standard mechanism exists at the agent or MCP protocol level. Teams implement per-session limits ad hoc. The HN post about Uber's budget burn got 402 points.
A web app that enforces hard dollar and token budgets per AI agent and kills runaway sessions before they blow the monthly spend
1.0k ▲Score Breakdown
Social Proof 1 sources
Existing Solutions 2 competitors
Gap Assessment
Some platforms offer soft cost alerts and token budgets (Anthropic, OpenAI). No standard protocol-level hard budget enforcement exists for autonomous agents. MCP has no native spend cap mechanism.