The Data Transformer Tool
Apply a declarative transformation to a dataset — filter, map, aggregate, reshape — so an agent can turn raw data into exactly the structure the next step needs, deterministically.
The data holds the answer — nobody has time to dig
Spreadsheets, databases, and documents are full of answers that stay locked because pulling them out is slow, manual, and skill-bound. And the data is exactly what can’t be handed to a hosted assistant.
Manual analysis
Profiling and querying data by hand doesn’t scale.
Skill bottleneck
Answers wait on the few people who can write the query.
Locked in documents
Tables trapped in files stay out of reach.
Sensitive data
Business data can’t be sent to a third-party service.
Data Transformer, without the risk
Capability
What it does
Reshape, filter, and map data between formats.
it applies a declarative transformation — filter, map, aggregate, or reshape — to a dataset.
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
transforms are specified declaratively and run deterministically inside your perimeter, so the same input always yields the same output and the step is auditable.
Every call logged
Governance
Private, governed, on-premise
Runs inside your perimeter.
Analysis runs inside your perimeter, scoped per tenant with audit logging, so an agent can profile, query, and transform sensitive business data without any of it leaving your environment.
Per-tenant, logged
Parameters
The data_transform tool accepts these inputs when an agent calls it. Required inputs are flagged.
How the Data Transformer tool works in practice
Data Transformer is a data & analytics tool you assign to a VDF AI agent. It applies a declarative transformation — filter, map, aggregate, or reshape — to a dataset. Its hallmarks — Transform, Filter, Map — let an agent rely on it as a dependable step in a larger task rather than a brittle one-off script.
Under the hood, transforms are specified declaratively and run deterministically inside your perimeter, so the same input always yields the same output and the step is auditable. It expects data and operations as required inputs, so calls are explicit and easy to audit. Every call is scoped to the requesting tenant and written to an audit log, so the capability is safe to run inside a regulated, on-premise environment — the same governance model behind every VDF AI tool.
Teams reach for Data Transformer when they need to handle prep, ETL steps, and format bridging. It rarely works alone — pair it with JSON Schema Validator, Data Profiler, and Statistics Tool to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where Data Transformer pays back
Prep
Shape data before analysis or charting.
ETL steps
Filter and aggregate between systems.
Format bridging
Reshape data for a downstream API.
Cleaning
Drop, rename, and normalize fields.
Assigned to agents, orchestrated as networks
On VDF AI, an industry’s use cases map to agents, and you assign tools like this one to those agents. Compose multiple agents into a governed, on-premise network.
What changes after you assign it
Questions about the Data Transformer tool
What is the Data Transformer tool?
It applies a declarative transformation — filter, map, aggregate, or reshape — to a dataset. Assigned to a VDF AI agent, it runs under role-based policy with full audit logging so the capability is safe to use in production.
Is the transform deterministic?
Yes. Declarative operations produce the same output for the same input, so results are reproducible.
What operations are supported?
Filtering, mapping, aggregation, sorting, and reshaping, applied in order.
What inputs does the Data Transformer tool need?
It requires data and operations. Each parameter is validated when an agent calls the tool, and the full call is logged for audit.
Which tools pair well with Data Transformer?
Data Transformer is commonly assigned alongside JSON Schema Validator, Data Profiler, and Statistics Tool. On VDF AI you compose several tools and agents into a single governed, on-premise network.
Does it run on-premise?
Yes. Like every VDF AI tool, it can run on-premise or in your sovereign cloud, scoped per user and audit-logged, so your data never leaves your perimeter.
How do agents use it?
You assign the tool to an agent under a role-based policy; the agent calls it as one step in a task, and several agents and tools can be orchestrated together as a governed VDF AI Network.
Assign Data Transformer to these agents
These VDF AI agents can be assigned this tool. Open an agent to see the full toolkit it can run.
Tools that work well alongside this one
Where this tool delivers value
Put Data Transformer to work
See the Data Transformer tool assigned to an agent and orchestrated in a governed, on-premise network.