Agent Reputation Audit
Agentic Credit Score 2026
Your AI agents now have credit scores. Audit their transaction patterns, compute burn, and swarm behavior to reveal if they are quietly destroying your financial stability.
Tool #2 of the Algorithmic Survival Hub. Dual-metric authority with CDIR + ACS. Part of 115+ free tools for the new economy.
Agent Reputation Audit
Enter your agent swarm metrics. See your Agentic Credit Score and discover hidden settlement risks.
Cloud Provider
Active Agents
7Number of autonomous AI agents in your swarm
Daily API Calls
2,400Total API transactions across all agents per day
Failed API Calls (30d)
23API calls that returned errors or timed out in last 30 days
Settlement Failures
4Failed machine-to-machine payment settlements (30 days)
Compute Burn (tokens/day)
47,000Total inference tokens consumed daily across all agents
Swarm Coordination
3/5How well agents share tasks and avoid duplication (1 = chaos, 5 = optimized)
Agent Wallet Balance
$2,700Total funds available across agent wallets for API payments
Wallet Volatility
2/5How much your agent wallet fluctuates (1 = stable, 5 = extreme swings)
Data Sensitivity
4/5Sensitivity of data your agents process (1 = public, 5 = PII/financial)
ACS
376
Reliability
78/100
Fail Rate
1.0%
Tier
CRITICAL
Agent Reputation Audit -- Frequently Asked Questions
What is Agentic Credit Score?
The Agentic Credit Score (ACS) measures the financial reputation of your AI agent swarm on a 300-850 scale. It combines four sub-scores -- Reliability, Efficiency, Stability, and Wallet Health -- to produce a single number that reflects your agents' creditworthiness in the Machine Economy.
Why do AI agents need credit?
As AI agents increasingly transact autonomously -- paying for API calls, settling compute costs, and negotiating machine-to-machine contracts -- they need credit-like trust scores. Agents with low ACS will face higher API rates, settlement delays, and eventual service denial.
How do API failures become credit risk?
Every failed API call that was supposed to complete a transaction creates an invisible IOU. Settlement failures accumulate as machine-to-machine debt. High failure rates signal unreliability, causing other systems to demand prepayment or refuse service.
What is swarm stability?
Swarm stability measures how well your agents coordinate tasks, share resources, and maintain consistent performance. A stability score of 5/5 means agents efficiently divide work without duplication. Low stability means agents compete for resources, waste compute, and create unpredictable cost spikes.
How can I improve my Agentic Credit Score?
Focus on four areas: reduce API failures through retry logic and circuit breakers, optimize compute burn by migrating to efficient model tiers, stabilize agent wallets with adequate reserves, and improve swarm coordination to eliminate duplicate inference.
How do CDIR and ACS work together?
CDIR measures your compute debt-to-income ratio (can you afford your AI usage?). ACS measures your agent swarm's operational creditworthiness (are your agents reliable transactors?). Together they provide a complete picture of your Machine Economy financial health.
What is wallet volatility impact?
Wallet volatility measures how much your agent funding fluctuates. High volatility (4-5/5) means agents may lack funds during inference spikes, causing settlement failures. This directly damages ACS stability score and triggers cascading debt.
Do cloud providers affect Agentic Credit?
Yes. Different cloud providers have different settlement speeds, failure rates, and pricing volatility. AWS, Azure, and GCP offer enterprise-grade settlement infrastructure. RunPod and Lambda offer GPU-optimized pricing but may have higher variance. Diversifying reduces risk.