Oodle.ai – $10 per million agent traces

In plain words

Oodle.ai is an observability platform for LLM agents that stores and analyzes agent traces without sampling. Built on a columnar storage engine, it uses a custom parquet-like format to store trace data in S3 and queries it through AWS Lambda, keeping costs low at $10 per million traces. The platform runs deterministic analyses on traces to detect tool failures, retries, loops, latency issues, and other production signals, enabling teams to monitor and debug agent behavior at scale.

written from the facts on this page · September 2026

From the sources

Building agents is easy. Operating them in prod isn't. Full-fidelity agent traces, sub-second search, and automated insights at $10 per million spans.

Fello's AI teammates engage home buyers and sellers across voice, SMS, and email. Oodle captures every agent execution: prompts, tool calls, reasoning, and production signals, so the team can detect silent failures, understand agent behavior, and resolve issues before customers notice. “We have full visibility across millions of agent traces with zero sampling. We're catching issues before our customers do.” Incomplete tool chains and unhandled exceptions leave work half-done. Customers see broken outcomes. Your dashboards still look green. Stuck retries and slow tool calls burn time and tokens while the user waits. Latency spikes show up in tickets, not alerts. Off-topic or low-quality…from oodle.ai

In the maker’s words, at launch

Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without…

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