Terralytix Property Intelligence
See the market behind the listings.
Explore the Property Radar dataset as a market intelligence terminal, not a listings feed: locality pricing, βΉ/sqft, rents, indicative rental yields, and statistical opportunity signals β computed live from the current dataset.
What does the current filtered dataset look like right now?
Auto-generated directly from the statistics above β not a language model, so every sentence is traceable to a computed number.
How are asking prices distributed, and how does price scale with size?
Which localities have real market depth, and how do they rank? Click any locality name for a deep-dive.
How do price, size and rent scale across configurations and property types?
What do rents look like, and what gross yield do they imply against locality sale prices?
Cohort estimate β (median annual rent Γ· median sale price) within the same locality + BHK β not a per-listing valuation.
Which listings sit meaningfully away from their comparable-cohort benchmark? Statistical signals, not valuations.
Analytics are only as good as the underlying data β here's how complete the current dataset is.
Heuristic only (shared contact number + similar attributes) β nothing is auto-deleted.
Where is this data coming from, and how does it break down by city?
Trust and transparency β how this dashboard computes what it shows, and what's next.