Connect Clawsmith to your coding agent. Ship products like crazy.Unlimited usage during betaGet API Key →
← Back to dashboard
clawsmith.com/signal/ai-agent-runaway-loop-no-hard-budget-enforcement
IssueUnderservedai_agent_mcpLive

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.

Product Idea from this Signal

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

AI agents loop silently for hours and rack up thousands of dollars in token spend with no hard enforcement layer to stop them. Existing soft limits inside SDK params are advisory and bypassable; teams only discover the overage on the billing page. This app sits as a governance proxy between any agent runtime and the LLM API, evaluates per-agent dollar and token ceilings before each call completes, and terminates the session the instant a threshold is crossed.

ai-agentscost-controltoken-budgetsagent-opsfinopsdeveloper-toolsmcp
Competitive464 leadsView Opportunity →

Score Breakdown

HN
402

Gap Assessment

UnderservedExisting solutions leave gaps

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.

Frequently Asked Questions