Open Data Portal Miner Agent

What Open Data Portal Miner Agent does

A open data portal miner agent is an AI agent specialized in open data portal miner. It does not answer from memory alone. It search, open primary sources, and extract cited claims, stores observations, verifies completeness, and delivers sourced research brief with explicit gaps when tools fail.

The agent receives a open data portal miner task, plans tool calls (search, browser, web-fetch, memory-store), executes search, open primary sources, and extract cited claims, keeps working notes, verifies the draft, and publishes sourced research brief. If search returned only outdated or off-topic pages, it broaden queries and prioritize primary documentation. This page simulates that observable loop — not private chain-of-thought.

Workflow

Each step maps to a node in the lab above. Scroll up to play and watch the packets travel.

1. 01

   Input

   Receive task

   Accept the open data portal miner request and output constraints.

   Data preview

   In

   Run open data portal miner for Q3: produce sourced research brief with audit trail.

   Out

   Normalized objective: produce sourced research brief.

2. 02

   Plan

   Plan the run

   Choose tool order for Search, open primary sources, and extract cited claims.