A CLI tool that audits multi-agent fleet token spend across providers, flags cost anomalies per agent, and enforces per-workflow budget caps before bills spiral
OpenClaw creator Peter Steinberger revealed a $1.3M monthly OpenAI bill running 100 coding agents. Most teams running 5-50 agents have no visibility into which agent is burning tokens, which workflows are cost-efficient, and where spend is leaking. Existing tools (Helicone, Portkey) focus on single-agent observability. No tool gives fleet-level cost attribution with per-agent anomaly detection and hard budget enforcement across multiple LLM providers simultaneously.
Demand Breakdown
Social Proof 2 sources
Gap Assessment
3 tools exist (OpenClaw Firewall, Helicone, Portkey) but gaps remain: No multi-agent fleet attribution, no anomaly detection against historical baselines, no graceful model degradation before cutoff; Focused on single-app observability, not multi-agent fleet cost attribution with per-workflow budgets and automatic fallback routing.
Features4 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| OpenClaw Firewall | Gateway between agents and providers with budget limits, alerts, and throttling for single OpenClaw instances | No multi-agent fleet attribution, no anomaly detection against historical baselines, no graceful model degradation before cutoff |
| Helicone | Observability proxy that logs requests, tracks token usage, and monitors costs without modifying agent code | Focused on single-app observability, not multi-agent fleet cost attribution with per-workflow budgets and automatic fallback routing |
| Portkey | Programmable middleware with token-level observability across cost, performance, and accuracy metrics | No hard budget enforcement with graceful degradation, no fleet-level anomaly detection comparing agents against each other |
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