Data Platform Intelligence Without the Guesswork
Agentic analytics, reconciled metrics, and safe change plans powered by a unified knowledge graph.
Shipping data changes shouldn’t mean flying blind on downstream breakage.
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Answering a business question shouldn’t require choosing between conflicting metrics and stale sources.
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What Makes Typedef Different?
Every agent and tool in your stack sees one slice. Typedef sees the whole picture.
Agents hallucinate without context
Analytics agents answer confidently but wrong because they don’t know which definition applies or the grain of the data.
Agents that show their work
Agents query the knowledge graph for verified definitions, topology, and lineage. Every answer is explainable and traceable.
Changes break things you can’t see
A PR updates a model and silently breaks a dashboard three teams rely on. You hear about it in Slack, not in your tooling.
Every change shows its blast radius
Before you merge, Typedef traces impact from code to dashboards, pipelines, and consumers across online, streaming, and offline systems.
Metrics live in silos
Your CRM says one number, your warehouse another, your BI tool a third. Definitions aren’t connected, so no one can prove which is right.
One graph, one truth
Typedef links every metric to its definition, source, and downstream use. When definitions conflict, you see exactly where and why.
Agents hallucinate without context
Analytics agents answer confidently but wrong because they don’t know which definition applies or the grain of the data.
Changes break things you can’t see
A PR updates a model and silently breaks a dashboard three teams rely on. You hear about it in Slack, not in your tooling.
Metrics live in silos
Your CRM says one number, your warehouse another, your BI tool a third. Definitions aren’t connected, so no one can prove which is right.
Agents that show their work
Agents query the knowledge graph for verified definitions, topology, and lineage. Every answer is explainable and traceable.
Every change shows its blast radius
Before you merge, Typedef traces impact from code to dashboards, pipelines, and consumers across online, streaming, and offline systems.
One graph, one truth
Typedef links every metric to its definition, source, and downstream use. When definitions conflict, you see exactly where and why.
The Data Context Layer
A live, connected map of every definition, pipeline, dashboard, and system across your entire data platform. Not a catalog, not a metadata store, not another dashboard.
Cross-System Lineage
The graph spans online systems of record, streaming infrastructure, and offline analytics so lineage survives the handoffs that usually break it.
Semantic Resolution
Metrics and definitions are first-class nodes. When logic conflicts, you can see exactly where it diverges.
Impact Tracing
Any code change traces through models, pipelines, and dashboards to reveal blast radius before you merge.
Enterprise-Grade Security
SOC 2 Type II + GDPR
Compliance-aligned controls, logging, and auditability built in.
VPC Deployment
Deployed into your private VPC with your network and key controls.
Secure Encryption
Typedef leverages SSO, RBAC, and full audit trails by default.
No Data Egress
Runs entirely inside your environment.
FAQ
MCP tools give an agent access, but not a shared, live context layer. Typedef builds the Data Context Layer, linking definitions, pipelines, dashboards, and runtime metadata across online, streaming, and offline systems. That’s what makes semantic resolution, end‑to‑end tracing, and blast‑radius analysis possible, and makes agent answers explainable.
You can start with just your transformation layer (e.g., dbt, Airflow DAGs). Typedef is useful with partial coverage and gets more powerful as you add more systems. It also works without full warehouse access. Connect what you have and expand from there.
Typedef stores metadata, lineage, and semantic context, not raw data. It reads from your systems to build the Data Context Layer and uses that context to answer questions.
Definitions are first‑class nodes. When logic differs, Typedef shows the divergence point and which downstream consumers each definition affects.
Read‑only access to metadata and runtime signals. The Data Context Layer is built from what your systems already expose.
Yes. Access control is role‑based and scoped to projects and teams.
Initial setup can start in minutes from your transformation layer. Broader coverage depends on the number of systems you connect.
Typedef connects to systems of record, streaming infrastructure, transformation layers (dbt, Airflow), warehouses (Snowflake, BigQuery, Redshift), and BI tools (Looker, Tableau, Power BI). See the full integration list.