Re:Show HN: We analyzed 1,573 Claude Code sessions to see ho...
by avilesrafa on Thursday March 12, 2026 @12:41PM
(#47353565)
To clarify, our data set consists solely of Claude Code sessions, specifically those with a human behind them. Rudel AI, in its current form, focuses on "How teams code with AI". We have plans to expland to a larger range of agentic observability use cases.
What tools do you use to run your analysis?
Re:Show HN: We analyzed 1,573 Claude Code sessions to see ho...
by DeltaCoast on Thursday March 12, 2026 @01:17PM
(#47354155)
Can you expand on the USDC friction piece?
A few data points from two weeks live:
- Agents send well-formed queries with specific parameters (country, gender, follower filters) -- suggests the reasoning chain before tool calls is solid - 50 unique agents hit our 402 response, only 1 converted to paying. The USDC friction kills conversion even when agent intent is clear - Node.js-based MCP clients dominate paid traffic vs Python
Your 26% session abandonment matches something we see: many hits are single 402 responses with no retry. The agent discovers the API, gets the payment requirement, but has no wallet configured to complete the transaction. It is essentially agent session abandonment at the payment step.
Would be curious whether your data shows patterns in external tool call failures vs successes -- whether agents retry on failure or abandon.