Find the Claude Code spend your proxy can't see.
PromptReports.ai builds Token Forensics for engineering organizations running $20K–$500K/mo of Claude Code: 16 calibrated detectors, one-click PR remediation, and HMAC-signed audit bundles auditors verify offline.
Find waste. Ship the PR. Sign the bundle.
Why PromptReports.ai Exists
Mid-market engineering organizations running Claude Code at $20K–$500K/mo have no way to attribute waste, no auditor-grade evidence trail, and no closed-loop fix path. Helicone proxies the API; Datadog ships generic LLM telemetry; nobody reads the editor — CLAUDE.md, skills, sessions, stop_reason — where 60–80% of waste lives. We do.
16 CC-Native Detectors
Read CLAUDE.md, skills, sessions, and stop_reason — the editor surface where 60–80% of Claude Code waste lives. Each detector ships with empirical $/mo ranges.
Closed-Loop PR Remediation
Findings become PRs you actually merge. Sandbox + reviewer agent + write-gate run before any code touches your repo. Daily digest: approve, defer, dismiss.
Auditor-Grade Evidence
Hash-chained turn log + HMAC-signed export bundles. Auditors run our open-source verifier offline — no shared credential, no API call, no “trust the dashboard.”
Built for $20K–$500K/mo Spend
Calibrated for VP Engineering, CTOs, and Heads of Platform at 30–300-person AI-native companies running Claude Code at scale.
How Did PromptReports.ai Start?
PromptReports.ai started with a question every VP Engineering running Claude Code at scale eventually asks: where did the $200K go? The Anthropic invoice arrives monthly, the proxy dashboard shows tokens-per-call, and yet no one can attribute the spend to a team, a session, or a fixable pattern. The waste lives in the editor — CLAUDE.md, skills, sessions, stop_reason — where Helicone and Datadog structurally can't look.
We built sixteen calibrated detectors that read that editor surface, attach an empirical $/mo range to each finding, and turn them into PRs you actually merge — sandboxed, reviewed, write-gated. The audit trail is hash-chained and HMAC-signed so your auditor verifies the evidence offline with our open-source tool. No shared credential. No “trust the dashboard.”
Today, engineering leaders at 30–300-person AI-native companies use PromptReports.ai to find the Claude Code spend their proxy can't see, ship the PR, and sign the audit bundle. Cost is the wedge; performance, security, and governance follow.
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