Real-time
Live pulse rates and ordered stream state from operational heartbeats agents subscribe to under MCP policy. Incidents, tickets, deploys, pipeline stages, scoped by tenant and department.
The I/O Mesh data products catalog
We start most demos on PagerDuty, then GitHub — the shortest path to a signed heartbeat.
Operational heartbeats your on-call already trusts. Demos usually open on PagerDuty and GitHub; Slack and the wider catalog connect when those streams are ready.
The rest of the catalog is real product surface. Wire each when your team is ready.
Not a connector mallNot company-wide vector dumps
Layer story matches Product
Full organizational heartbeat: live operations, knowledge memory, and analytics patterns — department-scoped, policy-gated. Multi-horizon BI stands on the same catalog below—governed dept.* products with contracts, lineage, and freshness SLOs—not a company-wide vector dump or unconstrained warehouse SQL in prompts.
Multi-horizon BI stands on these products
Real-time heartbeats, short-term stream history, and long-term analytical or institutional patterns only compound when each pulse is a department-owned product agents can cite under policy.
Short-term
Hours to days of stream history and rolling operational context. Lineage agents can cite. Do not invent 1h/24h/7d product windows.
Long-term
Analytical history and institutional patterns under tenancy. RCA themes, seasonality, board-ready narratives. Do not chip a status.
Mesh layers that back the catalog
Filter the interactive catalog by the same three layers. Describe what a reviewer can publish and consume.
Operational mesh
Operational heartbeats your on-call already trusts. Demos usually open on PagerDuty and GitHub; Slack and the wider catalog connect when those streams are ready.
Knowledge mesh
Notion, Confluence, Drive, and SharePoint as versioned products. Cite them next to ops evidence, not as a disconnected RAG island.
Analytical bridge
dbt metrics, warehouse CDC, and embeddings as live views via global webhooks. Freshness SLOs and tenancy beat unconstrained SQL in prompts.
New sign-ups for hosted plans are paused.
Three mesh layers — one catalog
Filter the interactive catalog below by layer. Describe what a reviewer can publish and consume.
| Layer | What ships | What teams publish | What agents receive | Key benefit |
|---|---|---|---|---|
| heartbeat streams | Incidents, tickets, CRM, PRs, chat, deploys | Fresh, enriched dept.* event streams | Fail-open publish · link enrichment | |
| versioned docs | Notion, Confluence, Drive, SharePoint | Versioned docs with tenancy matching ops events | No stale shared chunk indexes | |
| live metric views | Live metrics, warehouse views, dbt models | Governed output ports with freshness SLOs | No per-agent warehouse SQL sprawl |
Catalog entries include subject patterns, consumers, schema version, freshness SLOs, and lineage. FAIR metadata / DOI paths appear when those evaluator features are enabled for your workspace.
Example product
Engineering GitHub Events
dept.engineering.events.github
Pull requests, reviews, and deployment signals — the live engineering change stream agents use for incident RCA and release context.
- Schema
- 1.0
- Freshness
- 5m
Consumers: engineering agents · incident response · platform SRE
connector:github → enrich:github_pull_request → memory:advisory
View lineage & contract →Why this catalog matters
Instead of giving agents raw data or generic embeddings, you give them governed, auditable, department-scoped products that respect your tenancy and compliance rules. That is the foundation for proving workflow lift with private evals before you scale inference spend — what platform teams and program reviewers look for in production agent infrastructure.
Loading interactive catalog…
The I/O Mesh data products advantage
I/O Mesh turns fragmented SaaS and operational data into a single, governed catalog of department-owned products that AI agents can trust and consume.
No company-wide vector dumps. No per-agent SQL queries as the default. Policy-controlled dept.* products with contracts, lineage, freshness SLOs, and audit trails — production-ready tenancy from day one.
Ready to explore the catalog or map your data as governed products?
Browse and filter products below, or open a detail page for lineage and contract.
- Versioned contracts
- Lineage & subject patterns
- Audit-minded tenancy
- HIPAA readiness path
Versioned contracts · lineage · department-scoped products