Netra
What is Netra?
Netra is an AI observability platform for AI product teams that traces agent behavior from intent to response and adds evaluation and simulation for debugging, quality checks, and performance monitoring. It includes Observability, Evaluation, Simulation, Trace every decision, and Track every dollar, and integrates with Langchain, CrewAI, OpenAI, Claude, and Google Gemini. Plans run Free $0, PRO $39/month, and Custom pricing.
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At a glance
- Netra is best for AI product teams who need to debug, evaluate, and monitor agents in production.
- Free $0; PRO $39/mo; Custom Custom
What does Netra do?
Netra traces agent behavior from intent to response, then layers evaluation and simulation on top so teams can see what happened, score what happened, and test what might happen next. Its observability views surface decision paths, cost breakdowns, and latency signals, while offline tests and auto-evaluation help catch regressions before and after release. The result is a single control plane for debugging, quality checks, and performance monitoring across agent workflows. It is built for production use at scale: Pencil says Netra processes over 1M spans every day, and the platform shows real-time P50, P95, and P99 latency tracking. Customer stories from Aartha and Axari point to faster shipping, shorter incident investigations, and lower AI spend. Netra also supports a broad AI stack through frameworks and model providers such as Langchain, CrewAI, OpenAI, Claude, and Google Gemini, with SDK-based setup for Python and JavaScript.
Why use Netra?
- It combines tracing, evaluation, and simulation in one workflow, so teams do not have to stitch together separate tools.
- Real-time P50, P95, and P99 latency tracking helps teams spot performance regressions before users feel them.
- Auto-evaluation scores every live trace, reducing reliance on manual sampling and ad hoc checks.
- Cost breakdowns by model, user, team, or tenant make AI spend easier to attribute and optimize.
- Framework and model-provider coverage lets teams plug into existing stacks without rebuilding agent infrastructure.
Who is Netra for?
- AI product managers who need visibility into agent behavior before and after release.
- ML engineers who want trace-level debugging and automated quality checks.
- Platform teams that need latency and cost monitoring across agent workflows.
- Founders shipping AI features who need faster incident investigation and safer deployments.
What are Netra's key features?
Observability
Track agent behavior with real-time P50, P95, and P99 latency plus over 1M spans every day, so teams can spot regressions before users do.
Evaluation
Run pre-built and custom evaluators across traces, datasets, and prompts, with up to 100 online eval runs/month and 5,000 evaluator executions/month.
Simulation
Dry-run agents before release using test runs and red teaming, helping teams validate behavior without impacting production systems or customers.
Trace every decision
Capture each agent step as spans and traces, then inspect decisions end to end to reduce incident investigation time by over 50%.
Track every dollar
Measure AI spend alongside traces and latency, helping teams identify costly runs and cut per-customer AI spend by about 30%.
Monitor every millisecond
Watch latency in real time with P50, P95, and P99 metrics, giving operators the timing detail needed to debug slow agent workflows.
Auto-evaluate every trace
Automatically score traces with built-in evaluators and custom evaluators, so teams can compare behavior continuously across 5 datasets and 2 prompts.
Dry-run your agents
Test agents safely before production using 25 test runs/month on the free plan and unlimited test runs in custom deployments.
What does Netra integrate with?
- Langchain
- Dspy
- CrewAI
- Autogen
- Cerebras
- Aleph Alpha
- Bedrock
- Replicate
- TogetherAI
- Transformers
- WatsonX
- Ollama
- Vertex
- Chroma
- LanceDB
- Milvus
- Weaviate
- Pinecone
- Qdrant
- Redis
- Marqo
- ADK
- Pydantic
- Haystack
- LangGraph
- MCP
- Llamaindex
- Litellm
- Cassandra
- Elasticsearch
What are Netra's use cases?
AI product release checks
AI product managers use Netra to compare agent behavior before and after a launch, using Observability and Auto-evaluate every trace to catch regressions early. They can spot broken flows, verify quality changes, and ship updates with more confidence.
Trace debugging for engineers
ML engineers use Netra to inspect failing agent runs end to end, using Trace every decision and trace to pinpoint where prompts, tools, or model outputs went wrong. That shortens debugging cycles and makes root-cause analysis much faster.
Latency and cost control
Platform teams use Netra to watch production agent workflows in real time, relying on Monitor every millisecond and Track every dollar to keep latency and spend within target. They can identify expensive paths and slow steps before users feel the impact.
Safer agent launches
Founders shipping AI features use Netra to test changes before rollout, using Simulation and Dry-run your agents to preview behavior without affecting customers. That helps them investigate incidents faster and reduce the risk of shipping unstable agents.
How does Netra work?
- Connect your first agent workflow and start capturing traces with Observability so Netra can record each run, decision, and tool call from the beginning.
- Turn on Evaluation and Auto-evaluate every trace to score outputs against your datasets, prompts, and custom checks without manual review on every run.
- Use Simulation and Dry-run your agents to test changes before release, then compare behavior across scenarios to catch regressions and unsafe paths early.
- Watch Monitor every millisecond and Track every dollar in the dashboard to spot latency spikes, expensive branches, and production drift as traffic grows.
- Share findings with your team, refine prompts or workflows, and keep iterating with trace-level debugging so future releases are safer and faster.
How much does Netra cost?
Free
$0- Built for prototyping and testing.
- No credit card needed.
- 5,000 spans/month
- 100 evaluator executions/month
- 2 custom evaluators
- 5 datasets
- 2 prompts
- 5 users
- 3 projects
- 7-day data retention
- US/EU residency options
- Community support
PRO
$39/month- Built for teams running agents in production
- Everything in FREE
- 200,000 spans/month Additional: $5/100k spans
- 100 test runs/month
- 5,000 evaluator executions/month
- 10 custom evaluators
- 50 datasets
- 100 online eval runs/month
- 10 prompts
- 50 users
- 10 projects
- 30-day data retention
- US/EU residency options
- Priority support
Custom
Custom- Custom
- Everything in PRO
- Custom metrics
- Agent Insights
- Unlimited test runs
- Unlimited datasets
- Unlimited online evals
- Red teaming
- Unlimited users
- Custom data retention
- On-premise / multi-region deployments
- Isolated database
- Enterprise SSO
- Dedicated support (Email, Slack)
Frequently asked questions
What is Netra?
Netra is an AI observability platform for AI product teams that traces agent behavior from intent to response and adds evaluation and simulation for debugging, quality checks, and performance monitoring. It includes Observability, Evaluation, Simulation, Trace every decision, and Track every dollar, and integrates with Langchain, CrewAI, OpenAI, Claude, and Google Gemini. Plans run Free $0, PRO $39/month, and Custom pricing.
How much does Netra cost? Is it free?
Netra has a free plan, with paid tiers including PRO at $39/month, Custom at Custom.
What is Netra used for? Who is it for?
Netra is used for Observability, Evaluation, and Simulation. It's built for AI product managers, ML engineers, and Platform teams that need latency and cost monitoring across agent workflows.
Does Netra have an API and what does it integrate with?
It integrates with Langchain, Dspy, CrewAI, Autogen, Cerebras, and 25 more.
Editor's read
Check the Free plan's 5,000 spans/month and 25 test runs/month against your expected production volume. If you need more than 100 online eval runs or 30-day retention, PRO is the practical floor.
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