120 million agent traceslast month120 million agent traceslast month ·no sampling
AI agents fail silently in production
Trusted by AI-native teams
AI teammate platform helping real estate teams
3M+ agent traces/dayZero sampling. Full-fidelity visibility.
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.”
Your customers find agent failures before you do
Agents abort mid-task
Incomplete tool chains and unhandled exceptions leave work half-done. Customers see broken outcomes. Your dashboards still look green.
Loops that never end
Stuck retries and slow tool calls burn time and tokens while the user waits. Latency spikes show up in tickets, not alerts.
Frustrated users first
Off-topic or low-quality replies hit sentiment long before infra monitors fire. Support hears about it. You don't.
Budget burns quietly
Simple tasks run on expensive models. Spend climbs with no clear owner until finance asks what changed.
Paying for the same prompt twice
Identical calls fire over and over with no cache. Latency and token cost stack up with nothing useful to show for it.
Conversations that never converge
Prompt loops and circular reasoning drag sessions into endless turns. Users churn. You find out from churn reports.
AI fails differentlyTraditional observability wasn't built for this
Agent workloads expose three gaps that request-centric stacks never solved.
The run you need is already gone
Full prompt and tool-call payloads make storage costs spike fast. Most stacks push teams to sample, so the failure you need later was dropped.
Finding one bad run takes forever
Debugging starts with questions about prompts, tools, customers, and model changes. On request-centric indexes, those searches take minutes, not seconds.
Infra alerts stay quiet
Wrong tool picks, loops, and fake "I did it" replies rarely trip monitors. Issues show up in support tickets long before they show up in dashboards.
A new database built from the ground up for agent traces
Object storage for retention. Serverless compute for queries. Built for agent workloads, not bolted onto a request-centric stack.
$10
per million spans
<1s
P99
100%
traces analyzed
Disk-first retention
Object storage
Always-on clusters
Serverless compute
Sampling by default
Full-fidelity traces
Request-centric indexes
AI-native indexing
How it works
How Oodle agent observability works
Set up traces, surface silent failures, and debug agents in production from day one.
Blog · Engineering
How We Achieved $10 / Million Agent Spans
A high-performance, low-cost database backed by object storage for each observability signal.
Vijay Karthik
14 Jul 2026 · 5 min read
Blog
You Can't Sample Your Way to Reliable Agents
Shipping agents is easy. Knowing they work in production, without sampling away the evidence, is not.
Vijay Karthik
09 Jul 2026 · 4 min read
Blog · Architecture
How Oodle Keeps Observability Fast at Scale
Stop paying for idle capacity. Separate storage from compute so query performance holds as data grows.
Vijay Karthik
23 Mar 2026 · 7 min read
Complete LLMOps platform
Transcripts, evals, playground, experiments, and cost in one place.
Transcripts
Read the exact multi-turn conversation: system prompt, tool calls, multi-agent handovers. Tokens broken down per span.
Your data, your rules.
Pick the model that matches your compliance requirements. All three are SOC 2 Type II, ISO 27001, and GDPR compliant.
Fully managed
Oodle manages everything. Fastest path to production. Best for teams that want zero infrastructure overhead.
Bring your own bucket
Oodle processes your data. Storage lives in your S3 buckets. You own everything at rest.
Bring your own cloud
Full Oodle stack in your VPC. No data leaves your network perimeter. Ever.
Simple, usage-based pricing
Pro plan estimate
125.0 GB/mo ingested · 90 days retention
| Item | Usage | Rate | Cost |
|---|---|---|---|
| Ingested GB | 125.0 GB (125 GB incl.) | $100 + $1/GB over | $100 |
| Retention | 90 days | 30d incl. + $0.10/GB/mo | $25 |
| Queries (UI, MCP, CLI, API) | Unlimited | $0 | $0 |
| Estimated monthly total | $125 | ||