Stats NZ Datafinder

Discover the Right Geographic Dataset Automatically

Search Stats NZ Datafinder's vector layers by title and publication date, then fetch full metadata to programmatically select the right dataset for your dashboard or reporting system.

Autohive Bee Mascot
Painpoint

Data teams building analytical dashboards or automated reporting systems need to identify relevant datasets without manually browsing catalogs every time requirements change.

Autohive solution

Autohive agents use the search_layers action to discover available vector layers by title and publication date, then fetch full metadata including field lists and citations.

Get started
Autohive Bee Mascot

The Challenge

Building automated dashboards and reporting pipelines requires knowing exactly which datasets exist and how to reference them. Without programmatic discovery, this becomes a recurring manual task every time a project’s data needs change.

  • Manual catalogue browsing doesn’t scale across multiple dashboards or evolving data requirements.
  • Teams need up-to-date awareness of newly published layers without checking the catalog by hand.
  • Selecting the wrong dataset or missing key metadata leads to broken or unreliable automated reports.

The Autohive Solution

Autohive agents use the search_layers action to programmatically discover and integrate the right Stats NZ Datafinder datasets, keeping automated systems current without manual intervention.

Key Feature 1

The search_layers action lets your workflow discover available vector layers by title and publication date, surfacing exactly the datasets relevant to your project.

Key Feature 2

Full metadata retrieval including field lists, codebooks, and citation information, giving your workflow everything it needs to correctly reference and cite a dataset.

Key Feature 3

Programmatic selection and integration that lets dashboards and reporting systems adapt as new layers are published, without manual catalog checks.

Benefits

  • Always current data sources - Automatically discover newly published layers relevant to your dashboards.
  • Reduced manual research - Eliminate repetitive catalog browsing for every new project or report.
  • Reliable automation - Full metadata and citation information ensure your automated systems reference data correctly.

How It Works

  1. Search for layers - The agent calls search_layers with a title or publication date to discover relevant vector layers.
  2. Fetch full metadata - Retrieve field lists, codebooks, and citation details for candidate datasets.
  3. Integrate programmatically - Your dashboard or reporting system selects and references the correct data source automatically.

Getting Started

  1. Sign up at app.autohive.com
  2. Connect the Stats NZ Datafinder integration from the marketplace
  3. Configure your automation to search and select layers programmatically
  4. Deploy your agents
Autohive

Build your first AI agent in minutes, not months

Join thousands of teams automating their workflows with Autohive's no-code AI agents.