Oodle.ai
Oodle Agent Observability provides agent/LLM observability at scale with S3-backed columnar storage, fast search (<1s P99), out-of-the-box AI-powered insights, and flat ingestion-based pricing designed to retain 100% of traces affordably for debugging and optimizing production agents.
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Quick Overview
Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
Free from Examples shown: $10 per million spans; ingestion $0.30 / GB; retention example $0.001 / GB / mo; unlimited queries
Next step
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Oodle.ai
Oodle Agent Observability is a production observability product purpose-built for agentic and generative AI systems. It stores full agent traces in S3-backed columnar storage with serverless compute to enable fast, low-cost querying and retention of 100% of traces. The product surfaces AI-powered insights (quality, performance, efficiency) and provides LLMOps capabilities such as evals, prompt versioning, regression checks, cost estimation, and a live playground for iterating without redeploying. It is aimed at engineering teams and companies from startups to enterprise, with onboarding that can begin in minutes and a free tier available.
End-to-end visibility across LLM calls, APIs, and infra - so you can ship your AI with confidence, not hope. Agent observability at $10 per million spans.
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Claim this listing for $29Key Features
Fast trace search
<1s P99 query using columnar storage and serverless compute for fast searches over large agent traces.
Low-cost S3-based storage
S3-backed storage with pricing examples such as $10 / million spans and ingestion pricing (e.g., $0.30/GB) to retain 100% of traces affordably.
Out-of-the-box AI Insights
Automatic detection of silent failures, high-duration traces, low user satisfaction, cost optimization, caching inefficiency, and excessive LLM turns without writing rules.
Full LLMOps workflow
Prompt versioning, build eval datasets, run experiments, and score results with built-in or custom evaluators alongside production traces.
Agent transcript and span detail
Inspect multi-turn conversations, system prompts, tool calls, multi-agent handovers, and token breakdowns per span.
Cost estimation and model pricing
Estimated cost per trace/model/service with 50+ model pricing definitions (OpenAI, Anthropic, Google, Mistral, Cohere, etc.) and support for custom models.
OpenTelemetry (OTLP) ingestion
Consumes standard OpenTelemetry traces using the Generative AI semantic conventions; point your OTLP exporter at Oodle.
Playground for prompt iteration
Iterate on prompts, swap models, tweak parameters, and compare outputs live without redeploying.
Pricing
Free tier included โ no credit card required; Try in Playground available.
Pay-as-you-go / Ingestion-based
Examples shown: $10 per million spans; ingestion $0.30 / GB; retention example $0.001 / GB / mo; unlimited queries- Flat ingestion-based pricing (no per-query / per-user charges)
- Unlimited queries (UI, MCP, CLI, API)
- Configurable retention with all retained data queryable at same speed
Use Cases
Production agent debugging
Detect silent failures, incomplete tool call chains, and unhandled exceptions across agent traces to debug agents in production.
Agent performance and reliability monitoring
Identify high-duration traces, stuck loops, slow tool calls, and retry storms impacting agent performance.
LLM cost optimization
Spot over-provisioned model calls, calculate estimated costs per trace or model, and identify opportunities to use cheaper models or caching.
Regression checks and evals
Build eval datasets from production traces or CSV, run experiments, and compare model outputs to maintain quality over time.
Migration from legacy observability
Replace or complement ELK, Grafana, Datadog traces with an object-storage-native, serverless architecture tailored for agent traces.
Voice AI monitoring
Catch silent failures and other issues specific to voice agents in production (explicitly called out in case studies).
Integrations
OpenTelemetry (OTLP)
Consume standard OpenTelemetry traces using the Generative AI semantic conventions.
LLM providers
Cost estimation and support for OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Azure OpenAI, AWS Bedrock, and self-hosted models.
Cloud marketplaces / cloud commits
Use cloud commits via cloud marketplace (site references cloud marketplace options).
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
Do I need a separate SDK to instrument my LLM calls?
Which LLM providers and models are supported?
How is this different from standalone LLM observability tools?
Does Oodle do prompt versioning or evals?
Do you sample LLM traces?
Getting Started
- 1 Sign up and access the free tier or Try in Playground (free tier included, no credit card required).
- 2 Instrument your application to emit OpenTelemetry (OTLP) traces using Generative AI semantic conventions.
- 3 Point your OTLP exporter at Oodle and begin sending traces (start sending traces in under 15 minutes).
- 4 Use the Playground to iterate on prompts and run evals or experiments.
Support
Docs
Documentation and product docs linked from the site (Docs link present on the product page).
Playground
Interactive Playground to try features and iterate on prompts without deploying.
Schedule Demo / Sales
Schedule Demo call to see the product in your environment.
Community / Chat
Community links such as Discord and LinkedIn referenced on the site.
Status
Status page and support policy links are available from the site footer.
API
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