# DPF

> DPF helps you forge data into insights, faster. It simplifies data ingestion and transformation through natural language prompts — describe your data and the result you want, and DPF's AI infers the schema and generates the parsing/transformation code automatically. It is an open data management platform built on Apache Iceberg with a built-in query engine, so results are queryable in minutes, or you can bring your own compute by connecting Spark, Trino, Databricks, or Redshift.

DPF is built for both human users (via a web portal) and AI agents (via a REST API and MCP server), so agentic tools can autonomously set up integrations, manage transformations, run jobs, and query resulting data on a user's behalf.

Key capabilities:
- Natural language data ingestion and transformation: AI-generated parsing and transformation code from a sample file and a plain-language prompt (CSV, fixed-width, JSON, XML, Parquet, Excel, and proprietary vendor formats)
- Open data management platform built on Apache Iceberg with schema evolution, time-travel, and one-click rollback to a prior snapshot
- Built-in query engine, plus bring-your-own-compute integration guides for Spark, Trino, Databricks, and Redshift
- Usage-based billing on a single bill (no separate ETL tool + warehouse stack)
- Workspace-based team collaboration with granular (full/read-only) permissions
- JWT-based authentication; user data stays in the user's own AWS account

## Docs

- [API Documentation](https://www.dpf-it.com/api-viewer.html): Interactive REST API reference
- [OpenAPI Specification](https://www.dpf-it.com/dpf_openapi.yaml): Machine-readable API spec (auth, workspaces, data specs/jobs, query)
- [Integration Guide](https://www.dpf-it.com/integration-guide.html): How to integrate DPF into an application or agent workflow
- [Examples](https://www.dpf-it.com/examples.html): End-to-end API call sequences for common objectives (signup, schema-inferred load, transform load, SFTP trigger, query, incremental merge)
- [Pricing](https://www.dpf-it.com/pricing.html): Subscription tiers and usage-based credit pricing
- [Full Documentation](https://www.dpf-it.com/llms-full.txt): Integration Guide + Examples concatenated as one plain-markdown file

## Product

- [Home](https://www.dpf-it.com/index.html): Product overview
- [How It Works](https://www.dpf-it.com/how-it-works.html): Platform architecture and capabilities — Iceberg storage, query engines, REST API and MCP server
- [Web Portal](https://www.dpf-it.com/workspace.html): Workspace UI for managing data specs, jobs, and permissions (requires login)

## Legal

- [Privacy Policy](https://www.dpf-it.com/privacy-policy.html)
- [Terms of Service](https://www.dpf-it.com/terms-of-service.html)