Stop runaway LLM spend with runtime kill switches
The Problem
Teams building AI agents face runaway LLM spend from unbounded consumption attacks or errors, where a single high-token request costs $4-20 and 500 requests can drain tens of thousands in an hour. OWASP LLM Top 10 identifies this as LLM10, with developers lacking runtime kill switches, leading to budget exhaustion before dashboards alert. AI security funding hit $8.5B across 175 companies in 2024-2025, signaling acute demand for controls as 40,000 unsupervised agents deploy publicly.
Real Demand Evidence
Found on Hacker News ↗·2 days ago
Most tools I've found focus on observability, logs, traces, dashboards, but not actual enforcement
Core Insight
Provides instant runtime kill switches enforcing token budgets and performance thresholds specifically for LLM agents, filling gaps in Unleash's general flagging, StackHawk's detection-only approach, and enterprise-heavy tools like Palo Alto by offering simple, agent-focused enforcement without full observability stacks.
- Target Customer
- Indie hackers and solo founders shipping AI agents (e.g., 100k+ on platforms like Replicate, LangChain users), part of the $8.5B AI security market where SMBs need affordable runtime guards amid $2.17B Q4 2025 funding surge.
- Revenue Model
- Usage-based tiered pricing: Free for <10k tokens/day; $29/month Pro (1M tokens, kill switches); $99/month Unlimited (custom budgets, integrations) — undercutting Unleash Pro ($80) while matching indie budgets and anchoring to $4-20/request pain points.
Competitive Landscape
$80/month for Pro plan (unlimited users, advanced features); Enterprise custom pricing
Focuses on feature flag-based runtime controls for general software but lacks specific LLM token consumption monitoring or automated budget kill switches tailored to AI agent API costs. Does not address LLM-specific threats like unbounded consumption from complex prompts.
$65/month per developer (Teams plan); $119/month per developer (Enterprise)
Provides security scanning and recommendations for LLM vulnerabilities like unbounded consumption but does not offer runtime enforcement tools or kill switches; it's detection-focused rather than active cost control during agent execution.
Custom enterprise pricing (acquired assets for ~$25B total, no public SMB tiers)
Enterprise-grade AI security platform excels in broad guardrails and threat detection but is overkill for indie hackers with high complexity and cost; misses simple, runtime kill switches for solo agent deployments without full-stack integration.
Custom enterprise pricing only
Specializes in AI supply chain security and model scanning but lacks runtime agent controls or spend throttling; focuses on pre-deployment vulnerabilities rather than live cost overrun prevention.
Willingness to Pay
- $8.5 billion market investment
AI security funding surged from $274 million in Q1 2024 to over $2.17 billion by Q4 2025 — an 8x increase in eight quarters. In total, $8.5 billion was invested across 175 AI security companies during 2024–2025.
https://www.opulentia.vc/the-kill-switch-is-broken-agentic-ai-swarms-open-source-chaos-and-the-new-arms-race/
- $4-20 per request; tens of thousands per hour
A single 200k-token request can cost $4-20 USD depending on the model (e.g., OpenAI GPT-4o, Anthropic Claude 3 Opus); 500 such requests from automated scripts could drain tens of thousands of dollars in under an hour.
https://www.stackhawk.com/blog/owasp-llm10-unbounded-consumption/
- $12.39 billion market by 2033
By the end of 2033, the Model Kill-Switch Orchestration market is forecasted to reach USD 12.39 billion.
https://dataintelo.com/report/model-kill-switch-orchestration-market
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