Nothing left to chance

Observability

to see every decision

Evaluation

to prove it works

Simulation

to dry run your agents

Agent Insights

to know what's breaking and why

</Open Source>

Agent OPFOR

to security test agents

Built for Your AI Stack

Stack background Langchain
Stack background Dspy
Stack background Crewai
Stack background Autogen
Stack background Groq
Stack background Cerebras

Start with one line

pip   install netra-sdk

Add three lines to your code:

  1. from netra   import Netra
  2. # Initialize with default settings
  3. Netra.init (app_name="Your application name")

Start with one line

npm   install netra-sdk

Add three lines to your code:

  1. import   { Netra }   from   "netra-sdk"
  2. # Initialize with default settings
  3. await Netra.init ({ appName: "my-ai-app" });

Open standards, open ecosystem

Native observability for the frameworks you already use.

Data & Models

LLM Providers

Vector Databases

Frameworks and Tools

AI Frameworks & Orchestration

Database Clients

Infrastructure

Data Stores

Cloud Observability

STT & TTS Frameworks

The stories we didn't have to ask for.

Hear from clients who've experienced.

Sumukh Avadhani

CTO and Co-founder, Pencil

Netra turned our ad‑agent stack from a black box into a clear control center. We can see what every agent is doing, for every tenant, in real time, and Netra now processes over 1M spans every day for Pencil. Issues that once took hours to debug now take minutes.

Sathya

CTO and Co-founder, Aartha AI

Netra has honestly changed the speed of our shipping. Being able to evaluate and trust what our agents produce before anything goes out has cut down a lot of back-and-forth and helped us get features to market much faster.

Prasen

CEO and Co-founder, Axari

Netra gives our virtual Chief of Staff real observability, helping us catch broken loops early, cut incident investigation time by over 50%, and reduce AI spend per customer by about 30%.
Frequently Asked Questions

Everything You Need to Know About Netra

Get clear answers, fast — talk to our team and get tailored insights for your business in just a few minutes.

Netra is the end-to-end, agent-centric platform for the full AI agent development lifecycle — from prompt management through observability, evaluation, simulation, and red teaming. It closes the loop in production with online evals and agent insights (drift detection, intent analysis, anomaly detection), making agent behavior visible, measurable, and reliable at every stage.

Netra traces every agent request end-to-end — every LLM call, tool invocation, and decision point, broken into individual spans with full visibility into latency, cost, and token usage. Netra also ships an MCP server (Cursor, Claude Code, Windsurf, etc.) to query and debug traces directly from the IDE.

Netra supports 14+ LLM providers including OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, and Mistral, and 12+ AI frameworks including LangChain, LangGraph, LlamaIndex, CrewAI, Pydantic AI, and Google ADK. Netra is built on OpenTelemetry standards for compatibility with any OTLP-compliant backend. See the full list of supported frameworks and integrations.

Yes. Netra is SOC 2 Type II certified, HIPAA and GDPR compliant. It offers strict data isolation between tenants, encryption in transit and at rest, PII detection and masking, and data residency in both the US and EU with zero cross-region data sharing.

You can start seeing traces with a single line of code. Install the SDK with pip install netra-sdk for Python or npm install netra-sdk for TypeScript, initialize with your API key, and Netra begins capturing traces immediately. See the Quick Start guide for full setup instructions.

Netra is available as a fully managed SaaS (cloud) offering, so you can get started without managing any infrastructure, or as an on-premise/self-hosted deployment for teams that need data to stay inside their own environment.

Turn 10-hour investigations into 10-minute fixes

25 +

Deployments

94-96%

MTTR

70-75%

Cost