MISPRICING.DETECT

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MISPRICING.DETECT

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Strong Targets

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Upload Redfin CSVs to detect mispriced listings

Strong Target

Sold Comp

Active Listing

ZIP Centroid (approx)

New Analysis Run

City Name

Price Cap ($)

Active Listings CSV (Redfin export)

Drop file here or click to upload

Sold Comps CSV (Redfin export)

Drop file here or click to upload

City Name

Price Cap ($)

Step 1 — Load Data

or upload a Browse.ai CSV manually

Drop Browse.ai CSV here or click to upload

Step 2 — Geocode Addresses

Adds map coordinates and enables proximity comps. Skips addresses already geocoded. Takes ~1 sec per new address.

Step 3 — Run Analysis

Configure Browse.ai to POST directly to your server after each scrape run. No manual downloads needed.

Webhook URL (paste into Browse.ai → Integrate → Webhooks)

Setup steps:
1. In Browse.ai, open your Redfin robot → Integrate → Webhooks
2. Add the URL above -- change YOUR_CITY and set type=actives or type=solds
3. Add a second webhook URL with type=solds for your sold comps robot
4. Optionally append &price_cap=500000 to set the price ceiling
5. After each Browse.ai run completes, ingest.php geocodes addresses, caches the data, and auto-triggers analysis when both actives + solds are present

Tiered refresh schedule:
• 1x setup: Run the sold comps robot with 6-12 month filter to build baseline
• Weekly: Run actives robot + sold comps robot with 7-day filter to refresh
• Each city needs its own pair of robots with the city name in the webhook URL

Customize webhook URL

Notes

Stage

Notes