AISaaSObservabilityDevTools

Agent Output Auditor

Make every AI agent claim traceable to raw data and reasoning steps

Problem
Users complain about reading enormous amounts of generated text and constant guardrailing, causing mental overload. In production, it's hard to verify whether a support agent's refund answer is actually correct when it's split across FAQ and transaction systems.
Solution
Attach a collapsible evidence panel next to agent output: each sentence links to the tool call, record ID and source snippet it came from. Flag unsourced claims and compute a consistency score against source data.
Users
SaaS teams and indie developers using AI agents for support, ops, or data analysis
MVP
Ingest OpenAI/Anthropic tool-call logs; extract citations per paragraph; generate confidence flags; export audit reports; provide a web panel
Revenue
Usage-based subscription, free up to 500 calls/month, team plan from $29/month
Why now
Agents are moving into production but explainability and review cost are the biggest blockers; incumbents only solve for their own models, leaving room for a neutral third-party tool

Source discussions · 2

  1. Hacker NewsAsk HN: Are you tired too in this AI era?100↑ 96
  2. Reddit[r/SaaS] How do you verify that an Ai agent's answer is actually correct in production?
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