Twin Cities Joined Public Records: 39 datasets, 7 metro counties
Updated Oct 20, 2026
$500
Fixed price
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Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- Brick & Mortar data licence: internal commercial use, no redistribution
- Source / creator
- Brick & Mortar, compiled from Minnesota county, city and federal public records
- Collection method
- Public APIs and bulk files of each office of record, joined on the county parcel id
- Coverage start
- Not applicable
- Coverage end
- Not applicable
- Data last updated
- 2026-10-20
- Update schedule
- snapshot
Sample structure score: Not assessed
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
This sample format is not supported for structured assessment
How the score is calculated, its limitations, and how to correct an assessment →About this data
39 datasets and 13.7 million rows across the seven Minneapolis-Saint Paul metro counties (Hennepin, Ramsey, Dakota, Anoka, Washington, Scott, Carver): parcels, recorded sales, permits, licences, code inspections, 911 calls, foreclosures, contamination sites. All of it is joined on the county parcel id. Anyone can pull one county's parcels; nobody has sales, permits and licences sitting on the same lot line. Every row comes from a government office of record (plus Overture's open places data). Nothing from Google, so the resale rights are clean. Parquet, one file per dataset, with a 100-row CSV sample each, full schema (every column, type, meaning, source and limits) and a sha256 manifest. This edition removes owner, taxpayer, applicant and contact names (see REDACTIONS.md).
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py 8ea0e1b7-2b60-44bf-ad99-45566812eacd --output dataset.bin
Schema
Schema not available
Sample Data
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For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Twin Cities Joined Public Reco" })
// Found: 8ea0e1b7-2b60-44bf-ad99-45566812eacd
buy_now({ dataset_id: "8ea0e1b7-2b60-44bf-ad99-45566812eacd" }) // uses your saved card# Authenticate with your API key:
curl https://api.databazaar.io/datasets/8ea0e1b7-2b60-44bf-ad99-45566812eacd \
-H "Authorization: Bearer YOUR_API_KEY"
# Purchase:
curl -X POST https://api.databazaar.io/datasets/8ea0e1b7-2b60-44bf-ad99-45566812eacd/buy \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"dataset_id": "8ea0e1b7-2b60-44bf-ad99-45566812eacd"}'