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
Domain teams publish live ops, knowledge, and metrics as dept.* products with contracts, lineage, and policy — agents consume them through MCP, not a company-wide vector dump.
Everything in I/O Mesh starts and ends with governed, department-owned data products.
Domain teams publish live operational events, documents, and metrics as dept.* products with versioned contracts, lineage, and policy controls. AI agents consume them through policy-gated MCP tools — never a company-wide vector dump or per-agent SQL sprawl.
This catalog is the single source of truth for your governed context plane.
Not company-wide vector dumpsNot per-agent SQL sprawlNot unversioned exportsGoverned dept.* products with contracts & lineage
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
GitHub, Slack, Jira, Salesforce, PagerDuty, Zendesk, and Stripe publish heartbeat products with contracts and lineage. HubSpot and the growth suite (Mautic, Matomo, Listmonk, n8n, Twenty, EspoCRM) are mesh installs on the same fabric.
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.
Catalog honesty
Governed department products with contracts, lineage, consumers, and freshness.
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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.
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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, open a detail page for lineage & contract, or start in the console on the ops mesh path.
- Versioned contracts
- Lineage & subject patterns
- Audit-minded tenancy
- HIPAA readiness path
Versioned contracts · lineage · department-scoped products