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[ARTICLE · art-84977] src=armature.tech ↗ pub= topic=ai-products verified=true sentiment=· neutral

Show HN: Product analytics (and evals) for agent sessions on your MCP

Armature, a product analytics platform for AI agent sessions, launched a tool that captures and analyzes user interactions with AI agents via MCP, Claude Connector, or ChatGPT App. The platform identifies use cases, detects failures and loops, and scores session success, redacting PII by default. It aims to help developers understand and improve agent-based user experiences.

read1 min views1 publishedAug 3, 2026
Show HN: Product analytics (and evals) for agent sessions on your MCP
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User sessions on your Claude Connector ChatGPT App or MCP live inside their AI client, not your UI.

Armature captures and shows you what users ask, what agents think and how they use your product.

Armature's models read every session and identify what the user came to do. Sessions are grouped into use cases and ranked by volume and success rate, including the use cases you don't support yet.

Models scan every session for failures, loops and dead ends, group them by root cause and rank them by how many users encountered them, even when every API response was 200 OK.

Every session is scored on whether the user got what they asked for. Open any of them and replay the full trace: the ask, the agent's thinking and every call. When something breaks, you see exactly where.

Sign up, generate an API key and drop it in your deployment secrets.

Paste one prompt and let your agent wire the SDK in.

Ship it and watch sessions flow in within minutes.

Sessions can carry personal information and secrets, so we treat every one of them as sensitive. Detection models scan sessions and redact PII and secrets by default, before anything reaches storage.

Or reach out to us for custom needs.

Capture the sessions users have with your product through any AI agent. See what they ask, watch how agents deliver and fix the issues they encounter.

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