# AI Agent Observability & Data Infrastructure (glassflow.ai)

Feeds agents pre-correlated data from every connected source and traces and debugs production agent runs.

- Atlas card: https://inite.ai/en/atlas/glassflow.ai
- Site: https://glassflow.ai
- For: Teams running AI agents in production that need tracing, debugging, and correlated data for agents
- Categories: dev
- Use 0/100 · alive 100/100

## Used for

- Trace and debug failed agent runs
- Serve pre-correlated data to agents in one read
- Query failing agent runs from coding assistants

## Price

- from 19 USD/month, no free plan (read 2026-10-21 on https://glassflow.ai/pricing)

## For developers

- MCP server: ai.glassflow/rius (namespace; auth on 2026-10-21)
- Read 2026-10-21

## MCP server, measured daily

Server: https://mcp.eu.console.rius-glassflow.com/mcp, checked every day since 2026-10-21 (6 checks).

- Answered: measuring, 6 daily checks so far
- Median first answer: 523 ms
- Sign-in: OAuth (the client signs the user in)
- Method: https://inite.ai/en/atlas/mcp/report

## Your data

- Certifications stated: ccpa
- Read 2026-10-21

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Source: INITE Atlas, https://inite.ai/en/atlas/glassflow.ai. JSON: https://inite.ai/api/atlas/glassflow.ai. MCP: https://inite.ai/api/mcp (atlas_lookup).