PropRaven Marketplace — Listing copy

Drop-in marketing copy for the three Snowflake Marketplace listings. Approved for v1 launch.

Listing 1: PropRaven Core

Title: PropRaven Core — 230M+ U.S. Parcels with Property, Tax, Permit, Geography

Tagline: Every U.S. parcel, normalized. Stable IDs. Source-traceable.

Description (long):

PropRaven Core delivers 230 million+ U.S. parcels with structured property, tax, permit, and geographic data — all under stable, deterministic PropRaven IDs (PRPV_*) that survive county data refreshes and APN re-issuances.

What's included:

• 230,913,480 parcels nationally with APN, geometry, lot size, zoning, land use, legal description
• 230,913,480 properties with year built, building area, units, beds/baths, owner-occupancy flag
• 188,095,269 tax records (multi-year history)
• 39,858,904 building permits with classification + status
• Geographic hierarchy (block → tract → place → county → MSA → state)

What you do with it:

• Site selection and parcel discovery in any U.S. metro
• Cross-county research with consistent identifiers
• Property characteristic enrichment for your CRM/lead system

Refresh cadence: Monthly. Source provenance + freshness metadata exposed via META.SOURCE_LINEAGE.

Listing 2: PropRaven Owner Graph

Title: PropRaven Owner Graph — 27.5M Resolved Owners with 166M Ownership Edges

Tagline: Who actually owns what — across counties, across LLCs, across states.

Description (long):

PropRaven Owner Graph layers entity resolution on top of PropRaven Core. We collapse 230M+ parcel-level owner records into 27.5 million canonical entities — separating LLCs, corporations, trusts, partnerships, governments, and individuals — and surface the ownership edges that connect them to parcels.

What's included (everything in Core, plus):

• 27,538,551 canonical Owner entities
• 165,994,333 owner-parcel edges (GOLD_GRAPH.EDGE_OWNER_PARCEL)
• Entity classification: LLC / CORP / LP / TRUST / GOVT / NONPROFIT / RELIGIOUS / INDIVIDUAL / OTHER
• Confidence scoring: deterministic vs probabilistic, 0–1
• Cross-state aggregation: query "every parcel owned by Atmos Energy Corporation" once, get all 5 states

What you do with it:

• Loan / risk teams: Who is your concentration exposure to? Run "all loans secured to entities controlled by X."
• Investor tracking: Watch institutional buyers expand state-by-state.
• Sanctions / KYC screening: Match owner names against watchlists with confidence scoring.
• Competitive intelligence: Find every parcel a competitor's entity holds, not just the one you found by accident.

Refresh cadence: Monthly. Owner resolution version stamped on every row for reproducibility.

Listing 3: PropRaven Intelligence

Title: PropRaven Intelligence — Pre-computed Signals for Every U.S. Parcel

Tagline: Stop running queries to get to insights. Subscribe to the insights.

Description (long):

PropRaven Intelligence ships four pre-computed signals on every U.S. parcel:

1. Absentee owner — 31% of U.S. parcels are owner-occupied; the rest are flagged with mailing distance class (LOCAL / OUT_OF_COUNTY / OUT_OF_STATE / PO_BOX). Top out-of-state buyer flows surface lead-gen targets.

2. Owner portfolio rollup — for every canonical entity, a single row with parcel count, total assessed value, geographic spread, property-type mix (SFR/MF/commercial/industrial/vacant), and average year built. Top 10 entities own 1M+ parcels each.

3. Institutional ownership flag — three-tier classification (curated list / >10 parcels / >5 parcels). Identify SFR funds, securitized CRE pools, REITs.

4. Recent transfer — last sale date + price + days-since bucket. Filter to high-confidence cohort (date + price both present) for clean deal-flow signal.

Every signal carries a confidence_score and explicit methodology. Customers building decisioning systems can filter to deterministic-only matches; lead-gen workflows can take the broader cohort.

v1.7 expansion: Intelligence now ships seven pre-computed signals — adding:

5. Distress score (PARCEL_DISTRESS) — 7-indicator composite (sheriff/foreclosure deed, sub-market sale, LLC recent transfer, old+no-permits, low improvement-to-land, multi-distress overlap, vacant+old). 230M+ parcels scored, ~5M flagged distressed with confidence.

6. Value-add candidate (PARCEL_VALUE_ADD_CANDIDATE) — 6-indicator composite identifying redevelopment / repositioning targets (old building + low improvement, recent permit activity, sub-market last sale, institutional recent buyer, MF mix, active metro). 13K HIGH-tier targets, 8.3M MEDIUM nationally.

7. Transaction party graph (EDGE_TRANSACTION_PARTY) — 34.7M GRANTOR/GRANTEE edges with owner-id resolution. Track every transaction your target entity was a party to, on either side.

Refresh cadence: Monthly. v1.7 also adds raw transaction history (SILVER.TRANSACTION — 21.1M deeds) and canonical addresses (SILVER.ADDRESS — 146.3M).

Listing 4: PropRaven Lending

Title: PropRaven Lending — 4.3M Active Loans + 400K Canonical Lenders + Distress Overlay

Tagline: Banking corp-dev intelligence: who lent what, where, and what's at risk.

Description (long):

PropRaven Lending is the first vertical bundle for banks, CMBS investors, mortgage analysts, and bank corp-dev teams. We combine raw loan-level data (extracted from county deed records nationally) with per-lender exposure rollups, ownership context, and distress signals — pre-joined to the parcel collateral.

What's included:

• 4,290,000+ loans extracted from deed records (mortgage / DOT / HELOC / commercial / construction)
• 399,681 canonical lenders (suffix-collapsed: "JPMorgan Chase Bank, N.A." = "JPMORGAN CHASE BANK")
• LENDER_EXPOSURE rollup: per-lender originated_upb, parcel_count, primary_state, loan_type_mix, avg loan vintage
• 908K loan-attached parcels with full property + owner + tax context
• Distress overlay (PARCEL_DISTRESS) and recent-transfer signals pre-joined to the loan cohort
• Geographic hierarchy for portfolio segmentation

What you do with it:

• Bank corp-dev / M&A: "Show every CRE loan held by [Target Bank] in [Target Geography] to size an acquisition."
• CMBS investors: Validate loan-collateral attributes against issuer disclosures.
• Risk teams: Quantify concentration risk ("our top-50 borrower entities own this much value across these states").
• Mortgage analytics: Track portfolio shifts from MERS-as-nominee to direct beneficiary, by lender.

Top lenders by originated UPB (Q1 2026): MERS $152.7B (nominee), JPMorgan Chase $54.7B, Bank of America $40.6B, Wells Fargo $37.0B, Citibank $31.4B.

Refresh cadence: Monthly. Lender canonicalization version stamped per row.

Listing 5: PropRaven Insurance

Title: PropRaven Insurance — Per-Parcel Multi-Peril Risk Vector for 326M U.S. Parcels

Tagline: Underwriting-grade peril overlay: NRI, NFIP, NOAA, USGS, CDC. One join.

Description (long):

PropRaven Insurance ships an underwriting-grade risk vector for every U.S. parcel — pre-joined to property attributes, ownership, and distress signals. It assembles every authoritative federal peril dataset (FEMA NRI, FEMA NFIP claim history, NOAA storm events, USGS seismic, CDC SVI, USFS wildfire) and exposes it on the canonical PropRaven parcel grain.

What's included:

• 325.9M parcels with multi-peril risk vector
• 305.0M (94%) NRI-rated (hurricane / tornado / wildfire / earthquake / overall EAL)
• NFIP flood-claim history aggregated to tract
• NOAA Storm Events 30-year county history (count + property damage USD)
• FEMA Disaster Declaration counts by peril type
• USGS / ASCE7 seismic design parameters (SDC, Ss, S1)
• CDC Social Vulnerability Index (overall + 4 sub-themes)
• Composite climate risk label + tier
• Boolean PARCEL_HIGH_PERIL_FLAGS rollup for fast cohort filtering

Headline cohort sizes:

• 71.9M parcels in high-wildfire-risk areas
• 35.1M in high-seismic-design-categories (SDC D/E/F)
• 31.5M in high-earthquake-risk
• 20.1M in high-hurricane-risk
• 3.4M inside FEMA Special Flood Hazard Areas (SFHA)

What you do with it:

• Carrier underwriting: Score every quote against pre-computed peril ratings before binding.
• Reinsurance cat modeling: Aggregate exposure by peril × geography × construction era.
• MGA / surplus-lines targeting: Find the 71.9M high-wildfire parcels with replacement cost > $X for product launches.
• InsurTech parametric: Build trigger-based products on pre-resolved NRI + NOAA peril counts.

Refresh cadence: Quarterly NRI/NFIP refresh; monthly base parcel refresh.

Pricing positioning

Lead with vertical bundles in sales conversations. Lead with Core in self-serve discovery.