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Identify SFR portfolios showing disposition signals as bulk acquisition targets in secondary markets
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Based on SOC occupation classification
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| name | acquisition-targeting |
| description | Identify SFR portfolios showing disposition signals as bulk acquisition targets in secondary markets |
| user-invocable | true |
| argument-hint | [market1, market2, ...] |
| allowed-tools | Read, Grep, Glob, Bash, Write, Edit, WebFetch |
Identifies SFR portfolios likely candidates for bulk acquisition based on disposition signals in target markets.
Target markets: $ARGUMENTS (e.g., "Louisville, Columbus, Memphis, Birmingham")
| Criterion | Threshold |
|---|---|
| Portfolio size | 20-300 doors |
| Holding period | Average 10+ years (120+ months) |
| Disposition activity | Net Seller over trailing 12 months |
| Active inventory | 3+ properties currently listed for sale |
Use search_locations to get metro-level parcl_id values for each target market.
Use portfolio_search with a progressive relaxation strategy:
on_market_flag and activity_type_12_mo, keeping only portfolio size (20-300) and holding period (120+ months). Download and filter locally for net sellers and on-market status.min_holding_period_months, keeping only portfolio size (20-300) and on_market_flag: true. Download and filter locally for holding period and activity type.Merge both result sets for the broadest candidate universe.
For-sale property details (investor_for_sale_properties):
Full property list (investor_properties):
Score each portfolio by criteria match (X/4). When no portfolio satisfies all four criteria (common in smaller metros), rank by best-fit and explain the market dynamics driving the gap.
The absence of a perfect match is itself a useful signal. It may indicate long-hold net sellers have already cleared inventory, or that current listers are predominantly accumulating rather than exiting.
HTML dashboard (single-file, no external dependencies):
Each portfolio as a card showing:
Sort portfolios by criteria match score descending, then holding period descending.
CSV export: One row per for-sale listing with portfolio metadata repeated on each row (portfolio name, investor ID, size, hold period, activity, buy box, concentration) plus full listing and agent details. Include rows for net sellers with no current listings marked as "No current listings."
Never display raw parcl_id values in user-facing output. Always resolve to human-readable names:
5452730 to "East Hampton (11937)")2900417 to "Tampa-St. Petersburg-Clearwater, FL")search_investorsNote: some MCP endpoints return IDs as floats with .0 suffix (e.g., 5452730.0). Strip the .0 before any lookup or display.
| Endpoint | Purpose |
|---|---|
search_locations | Resolve market names to parcl_ids |
portfolio_search | Find portfolios by market, size, and disposition criteria |
investor_for_sale_properties | Current for-sale listings with pricing, agent details |
investor_properties | Full property data for buy box computation |