Use “Fair Housing Steering Detector” in Recued. Analyzes showing patterns for potential steering violations under FHA (24 CFR §100.70). Computes chi-square steering score across inferred demographic proxies and zip clusters.

How it works 16 steps

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

Data fetch

▼ all_deals recued-core.hubspot.deal.list

List deal on hubspot

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Process (15 steps)

■ agent_deals filter

Filter by condition

⚠ check_deals guard

Stop if agent deals is empty

■ total_showings count

Count items in agent deals

■ grouped_zips group_by

Group by properties.property_zip

■ zip_clusters_count count

Count items in grouped zips

■ prepare_ai_input map

Extract from each item

✦ ai_analysis core.ai.prompt

AI generates a response from a custom prompt

skip: config.enable_ai equal false

■ is_high_risk compare

Check if ai analysis steering score is greater than setting steering threshold

skip: step.ai_analysis is_null

■ computed_risk_level switch

Map is high risk to one of: true, false

skip: step.ai_analysis is_null

■ final_steering_score coalesce

Use the first available value from: ai analysis steering score,

■ final_risk_level coalesce

Use the first available value from: computed risk level, AI disabled

■ final_analysis_summary coalesce

Use the first available value from: ai analysis analysis summary, AI analysis disabled. Enable AI to assess steering risk.

■ final_example_showings coalesce

Use the first available value from: ai analysis example showings,

■ agent_summary to_summary

Format results as a summary card

■ example_table to_table

Format results as a data table

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Output

summary agent_summary

table example_table

ai_analysis final_analysis_summary

Settings 2 configurable

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

enable ai toggle = on

steering threshold number = 2