Agentic Loop Exposure Calculator

Estimate the financial "blast radius" of autonomous agent failures (Type I–IV) based on your infrastructure configuration.

Team & Infrastructure

Active Agent Count

Avg. Runs Per Day (Per Agent)

Model Tier

Cost / 1M Tokens (€)

Estimated cost per 1M tokens (Blended Input/Output)

Complexity & Risk (STRIDE)

Task Complexity

Higher complexity increases risk of Type III (Hallucination) loops.

RAGReasoning

Tool Count Per Agent

More than 46 tools degrades selection accuracy significantly.

Autonomy Level

Human-in-the-loop (Low Risk)Supervisor Oversight (Med Risk)Fully Autonomous (High Risk)

Guardrails & Safety

Financial Circuit Breakers?Hard budget kill switch per session

Step-Count Limits?Hard limit on reasoning steps

Monthly Exposure Risk

€788

Est. waste from non-converging loops

"Zombie" Token Burn

79M

Tokens consumed by stuck agents / mo

Waste Breakdown vs. Replit Incident

Type I: Retry Storms

Type II: Stagnation

Type III: Hallucination

Type IV: Ping-Pong

Risk Assessment & Recommendations

API Retry Storm Exposure

High tool count increases the chance of ambiguous API errors triggering infinite retries.

Add N-Gram Tool Repetition Detection

*Disclaimer: This is a probabilistic estimation based on industry failure rates (70-80% of resource exhaustion incidents are recursive loops). Actual mileage may vary. "Replit Scenario" refers to public incident data from July 2025.