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Fair Housing Steering Detector

by recued-core v1

Detects potential FHA steering violations by analyzing zip code distribution patterns across inferred buyer demographic groups. Cites 24 CFR §100.70 when risk detected. Note: Buyer names are transmitted unhashed to AI provider solely for in-memory demographic inference required by FHA analysis. Confirm your AI provider's data handling compliance.

How it works 13 steps

Inspect the data fetches, transforms, gates, and output this recipe runs.

Data fetch
deals ?
Process (12 steps)
agent_deals filter
Filter by condition
valid_showings filter
Filter by condition
total_showings count
Count items in valid showings
check_data guard
Stop if valid showings is empty
showing_data map
Extract from each item
ai_analysis ?
skip: config.enable_ai equal false
zip_clusters_used_safe coalesce
Use the first available value from: ai analysis zip clusters used, N/A
steering_score_safe coalesce
Use the first available value from: ai analysis steering score, N/A
risk_level_safe coalesce
Use the first available value from: ai analysis risk level, N/A
agent_summary pick
Keep only specific fields from
results_table to_table
Format results as a data table
compliance_checklist to_checklist
Format results as an actionable checklist
Settings 5 configurable

Configurable at install. Defaults shown — change them anytime in Recued.

hubspot setting =
enable ai toggle = on
lookback days number = 90
steering threshold number = 2
low medium boundary number = 1

Trust & control

What installing this recipe would let it do. Recued grants these permissions at install — review them there before approving.

Where it runs

Device + server Runs on your device (browser) or your server.

About

Tags

hubspot compliancefair-housingsteeringfhahubspotrisk-assessment

Details

13 steps 5 configurable settings recipe_id: analyze-showing-steering-hubspot