Data platform intelligence with full-stack context.
Agentic analytics, reconciled metrics, and safe change plans. All built on a live knowledge graph of your entire data platform.
Know exactly what breaks downstream before you ship a single line.
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A deeper understanding of your stack.
Data tools only see one layer. Typedef connects them all.
Agents hallucinate without context
Analytics agents answer confidently and incorrectly. They can’t tell 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 find out in Slack.
Every change shows its blast radius
Before you merge, Typedef traces impact from code through dashboards, pipelines, and consumers across your entire stack.
Metrics live in silos
Your CRM says one number, your warehouse says another, your BI tool says a third. Nobody can prove which is right.
Every metric, one lineage
Each metric links to its definition, source, and downstream use. When definitions conflict, you see exactly where and why.
Agents hallucinate without context
Analytics agents answer confidently and incorrectly. They can’t tell 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 find out in Slack.
Metrics live in silos
Your CRM says one number, your warehouse says another, your BI tool says a third. Nobody 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 through dashboards, pipelines, and consumers across your entire stack.
Every metric, one lineage
Each metric links 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 data platform. Always current, always traceable.
Cross-system lineage
Spans systems of record, streaming infrastructure, and offline analytics. Lineage survives the handoffs that usually break it.
Semantic resolution
Metrics and definitions are first-class nodes. When logic conflicts, you see exactly where it diverges.
Impact tracing
Trace any code change through models, pipelines, and dashboards. See the full 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.
Start with just your transformation layer (e.g., dbt, Airflow DAGs), which can be set up in minutes. Typedef is useful with partial coverage and gets more powerful as you connect more systems, and it works without full warehouse access. Connect what you have and expand from there; broader coverage depends on how many systems you add.
Typedef needs only read‑only access to metadata and runtime signals, and it stores metadata, lineage, and semantic context, never raw data. The Data Context Layer is built from what your systems already expose, so it runs inside your environment without moving data out of it.
Definitions are first‑class nodes. When logic differs, Typedef shows the divergence point and which downstream consumers each definition affects.
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.
Typedef compiles the graph deterministically from your code’s AST, the same SQL your pipelines run, so it cannot drift from your implementation, because it is your implementation. The model is used only to name and summarize, never to infer structure.
There is no prerequisite semantic layer. Semantics are inferred from your code, not authored by hand, and if you already have a semantic layer, Typedef checks it for drift from day one.