KCData
by S-Block Technologies

Our Data Methodology

Built for accuracy, speed, and transparency—so you can act with confidence.

Here’s the exact process we follow to convert Public KC Parcel Data into clean, AI-enhanced reports and mailing-ready CSVs—no black boxes.

Core Data Inputs

  • Public KC Parcel Data – authoritative monthly releases covering Jackson, Clay, and Platte counties.
  • Supplemental attribute tables – normalized address points, geospatial codes, and jurisdictional metadata used for enhanced filtering and SEO-rich location tagging.
  • Official city boundary shapefiles – high-resolution neighborhood and ZIP overlays maintained by KC Planning & Development, ensuring geo-aligned analyses.

End-to-End Processing Pipeline

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1. Source Sync & Versioning

We download fresh KC parcel releases on the first business day each month, verify checksums, and snapshot deltas for auditability.

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2. Schema Harmonization & Cleansing

Pyogrio + GeoPandas normalize field names, cast numeric columns, trim text, repair invalid geometries, and deduplicate APNs.

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3. Spatial Enhancement & Attribute Augmentation

Parcels are spatial-joined to city limits, school districts, and neighborhood polygons; we compute land-to-improvement ratios, lot coverage, and building-age buckets.

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4. High-Performance In-Memory Indexing

Clean data loads into DuckDB with spatial R-tree indexes plus FTS5 virtual tables for instant owner-name search.

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5. AI-Ready Feature Engineering

We precompute owner-cluster IDs, LightGBM vacancy scores, and placeholder GPT narratives—so AI calls run only when needed.

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6. Report Packaging & Delivery

A Next.js serverless function renders an interactive report and compressed CSV, then caches results at Cloudflare’s edge for sub-second ZIP downloads.

Update Frequency

The full pipeline re-runs monthly—so your leads reflect the latest assessments and deed transfers.

Accuracy & Caveats

  • Assessor data may lag by 2–6 weeks—verify ownership before closing.
  • AI summaries are guidance only; perform on-the-ground diligence.
  • Vacancy scoring depends on land-use codes that differ by county.

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