DataFunneler Prototype

Dataset Source

Saved API + Parameter Configurations

Choose a saved API to load, or create/edit to open source fields.

API Endpoint URL

Docs / Metadata URL (Optional)

Local CSV File Path

Or Upload Local CSV

Save Name

Open Saved APIs

Note: Browsers may block direct access to arbitrary local paths. If path loading fails, use the file upload input.

API learning runs through the app server so profiles can be validated before saving.

Session saves persist while this browser session remains open.

No learned API profile yet.

Edit API Profile

Profile Name

Base URL

Docs URL

Rows Path

Auth Type

Auth Location

Auth Name

Auth Scheme

Auth Value

Pagination Style

Limit Param

Offset Param

Page Param

Per Page Param

Filter Style

Filter Param Template

Where Param

Sort Style

Sort Param

Direction Format

Sort Field Param

Sort Direction Param

Field Metadata

Field	Type	Operators	Category Options	Query Params	Transforms	Value Map	Sort Key
No profile fields available yet.

Waiting for dataset input.

Parameter Summary + Selection

Review datatype-aware summaries, select the fields to include, then finalize selection.

No field summaries yet.

Selection must be finalized before visualization creation starts.

Visualization Builder

Create visualizations from the selected parameters.

Visualization Type

Primary Field

Secondary Field (if required)

Finalize parameter selection to begin visualization creation.

No visualizations yet.

How DataFunneler Constructs API Queries

1. Resolve field types strictly from source schema metadata (response schema + companion metadata endpoints when available).

2. Pull up to around 1,000 records and compute datatype-aware summary statistics for each field.

3. You manually select which fields become active query parameters.

4. Translate selected filter controls into API-specific query params.

Canonical Query Model

{}

Translated API Query

No query yet.