Show HN: AgentMeasure – healthchecks and settlement statements for AI bills (github.com)

AgentMeasure has launched a new tool designed to provide health checks and audit mechanisms for AI billing, particularly focusing on Codex and Claude Code sessions. This tool reads existing logs to identify issues such as duplicate records and retry chains, generating local HTML reports and terminal summaries. Aimed at enhancing the transparency and reliability of AI services billing, AgentMeasure enables users to assess how their agent metrics translate into actual operations, crucial for the burgeoning market of outcome-based pricing models. This significant development addresses a pressing need within the AI/ML community to standardize what constitutes a measurable outcome in a market rapidly pivoting towards charging by performance. With features like local analysis without network dependencies, users can ensure that their billing practices reflect true operational capabilities. The tool separates execution facts from logical operations, ensuring greater accuracy in measuring AI agent performance and improving the trustworthiness of AI service providers. The initiative positions AgentMeasure as a precursor to establishing a new "Capability as a Service" economy, where precise and comparable metrics are essential for future AI transactions.