I/O Mesh

Finance analytics — metrics & semantic layer

Governed metric views with freshness and lineage when that path is allowed. Not unconstrained warehouse SQL in prompts. Private evals only. No public lift %. Beta — not GA. Stay Beta until GA decision. Talk to us when you are ready.

Duty Clerk hangs a numbered stamp on a kitchen ticket rail. Blank sticky notes sit on the pass window.

Who it's for

RevOps or finance lead — semantic metrics in dbt, warehouse tables in Snowflake or BigQuery.

The problem

Agents either invent numbers from unconstrained warehouse SQL or rely on stale spreadsheet exports. Metrics lack governed freshness, lineage, and department boundaries for evaluator trust.

Outcome

Analytical bridge products (Beta) turn dbt metrics and warehouse CDC into agent-ready live views with FAIR metadata. Real-time metric pulses, short-term freshness windows, and longer trend products become first-class governed context under the same tenancy as ops events—not per-agent join sprawl.

Multi-horizon BI

Governed multi-horizon finance BI: metric pulses via analytical bridge (Beta), short-term freshness, long-term trend products without SQL-in-prompts.

Real-time

dbt metric observations and warehouse CDC as live analytical pulses (Beta via global webhooks).

Short-term

Freshness SLOs and recent metric windows for board-prep honesty—agents read governed views, not unconstrained warehouse SQL.

Long-term

Longer aggregates and models on the analytical bridge (Beta); optional local MIT memory for qualitative institutional finance context under policy.

Analytical agents invent numbers when warehouse access is unconstrained. Live metric views with contracts beat spreadsheet exports. Stay Beta until GA decision.

Workflow map (2026)

Analytical agents invent numbers when warehouse access is unconstrained. Live metric views with freshness SLOs beat SQL-in-the-prompt (embeddings + dbt + warehouse Beta — not GA).

RevOpsFP&AData eng partner

Build

Embeddings, dbt metrics, and warehouse CDC are Beta — not GA; multi-tenant installs may lag.

Steer

compose_analytical_mesh for board-ready briefings with lineage.

Compound

Freshness SLO evals and time-to-governed briefing as lagging KPIs.

Learning loop

Semantic metrics and warehouse CDC publish as governed live views — Beta, not GA. Agents read pre-computed truth with freshness SLOs, not ad-hoc SQL in prompts.

Questions agents answer

  • What is net revenue retention this quarter vs last?
  • Which accounts drove expansion ARR in the last close?
  • Is this metric within freshness SLO for board prep?

How it works on I/O Mesh

  1. Step 1

    Ingest metrics and warehouse CDC

    dbt metric observations and Snowflake/BigQuery CDC publish to dept.finance.views.* with LiveView projection.

  2. Step 2

    Federate upstream lineage

    Warehouse CDC federates to dbt metrics lineage — agents read pre-computed truth, not raw warehouse SQL.

  3. Step 3

    Catalog discovery

    Evaluators browse analytical products on /data-products with contracts, consumers, and freshness evaluators.

  4. Step 4

    Compose multi-horizon views for agents

    MCP compose_analytical_mesh bundles metrics and CDC products in one governed round so agents combine live pulses, recent freshness, and longer trend context for executive briefings.

Departments

  • Finance
  • RevOps
Analytical bridge

dept.* stream patterns

  • dept.finance.views.metrics.dbt
  • dept.finance.views.warehouse.snowflake
  • dept.finance.views.warehouse.bigquery
Browse data product catalog →

What ships today

  • Memory Embedding Stream connector (Beta)
  • dbt and warehouse CDC connectors (Beta — not GA; multi-tenant installs may lag)
  • Self-serve catalog with versioned data contracts
  • Usage-metered connectors and publish volume

Governed MCP tools

  • compose_analytical_mesh
  • list_catalog_data_products
Typical company stage
scaleup
Evaluation path
Start with catalog discovery (Beta) → open dbt/warehouse Beta path → compose with CRM or support context under the same dept.* tenancy → measure freshness SLO and narrative accuracy (private evals only).
Pricing
Estimate usage meters and add-ons

Outcome metrics

Leading indicator
Metrics within freshness SLO
Lagging indicator
Time to governed executive briefing

Recommended connectors

  • dbt

Each live connector bills as a usage meter — install from Integrations after signup.

Related solutions

B2B SaaS

Later recipe. Same record as Platform/SRE, not a first-ten hero. Engineering, product, sales, CS, and support stay department-scoped — not a company-wide vector dump.

GTM and RevOps

Same record, later — not a first-ten hero. Pipeline and renewal facts when those streams exist. A name in the directory isn't a live connection yet.

Fintech and payments

Later recipe. Same record as Platform/SRE when incidents and change land. Not a primary mall card.

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