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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.