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Listing · PROPRAVEN_PREVIEW

PropRaven Preview (Free)

Free Mecklenburg County NC sample of every entity and signal.

Anyone evaluating PropRaven · FreeRefreshed per parcel build (weekly from 2026-10-04)
Cohort
Mecklenburg, NC
Sample size
10K parcels
Schema parity
100%
Cost
Free

Access today

  • Listing status (2026-10-15). The Snowflake Marketplace listing is in review, so it cannot be subscribed to yet.
  • Access today. Access is a direct share by request: email sales@propraven.com with your Snowflake account identifier and the listings and states you need. It is not self-serve yet.
  • Requirements. The provider account runs on AWS (region on request). To accept the share you need a role with IMPORT SHARE and CREATE DATABASE (standard Snowflake share acceptance), so you can create a database from the share.
  • Cost. Snowflake delivery is sold as a Data License; see /pricing.

Description

PropRaven Preview is a free, no-commitment 10,000-parcel sample of every PropRaven entity — drawn from Mecklenburg County, North Carolina (greater Charlotte metro). Same schema, same column names, same confidence model as the paid national catalog. The right starting point if you want to write real queries against real data before subscribing to a paid tier.

Use Preview to validate that the schema fits your use case, write your initial queries, and benchmark a few of your own KPIs against the data before committing to a paid listing.

What's included

Schemas mirrored from the national catalog

  • PROPRAVEN_PREVIEW.SILVER — PARCEL, PROPERTY, TAX_RECORD, PERMIT, OWNER, GEOGRAPHY
  • PROPRAVEN_PREVIEW.GOLD_GRAPH — EDGE_OWNER_PARCEL
  • PROPRAVEN_PREVIEW.GOLD_INTELLIGENCE — PARCEL_ABSENTEE, PARCEL_INSTITUTIONAL_OWNED, PARCEL_RECENT_TRANSFER, OWNER_PORTFOLIO

Sample sizes (Mecklenburg County NC)

TableRows
PARCEL10,000
PROPERTY10,000
TAX_RECORD2,945
PERMIT4,154
OWNER8,556
GEOGRAPHY72

Use cases

  • Schema validation: confirm column names, types, and confidence-score semantics fit your application.
  • Query benchmarking: write your most-used queries against the sample to verify they return the cohort you expect.
  • Coverage check: spot-check a handful of parcels you know to confirm data quality before subscribing.
  • Demo data: build a working demo of your application against the free sample, then upgrade to the paid catalog when you go live.

Sample query — top owners in Mecklenburg

SELECT
  o.name_normalized AS owner,
  o.entity_type,
  op.parcel_count,
  ROUND(op.total_assessed_value / 1e6, 1) AS total_av_m
FROM PROPRAVEN_PREVIEW.SILVER.OWNER o
JOIN PROPRAVEN_PREVIEW.GOLD_INTELLIGENCE.OWNER_PORTFOLIO op USING (prpv_owner_id)
WHERE op.parcel_count >= 5
ORDER BY op.total_assessed_value DESC
LIMIT 25;

Refresh cadence

Refreshed per parcel build (weekly from 2026-10-04). Most enrichment columns come from an April 2026 reference snapshot; the build currently served is shown on /data/live.

Freshness as of 2026-10-15. PROPRAVEN_PARCEL_INTELLIGENCE (the 620-column parcels table) was refreshed on 2026-10-15 from the parcels gateway's current per-state builds (most states 2026-10-12; ID 2026-10-11; CT 2026-10-04-rw1; WI 2026-10-18), loaded by serverless Snowpipe. The Ontology share's silver tables were refreshed the same day from silver built on that per-state map; its derived graph and intelligence tables (owner portfolio, ownership edges, distress, value-add, institutional ownership, lender exposure) are from the 2026-08-28 build. Per-row _LOADED_AT and _SOURCE_AS_OF columns expose the actual freshness for any row in your query result.

Upgrade path

Once you've validated against Preview, the paid tiers all share the same schema:

  • Parcel Intelligence — wide table for app integrations.
  • Ontology — canonical entities + edges for graph queries.
  • Lending / Insurance / Banking / SFR / CRE / GovTech — pre-filtered vertical cohorts.

Your Preview queries will run against any of the paid listings with no schema changes — just swap PROPRAVEN_PREVIEW for the paid share name.


Questions? support@propraven.com — or browse the data dictionary and sample queries.