Ask in plain language. agent0 answers from sourced records — right inside ChatGPT, Claude, and Codex.
agent0 cites every comp — sourced from TRREB + live MLS.
121,000+ sourced records — active and sold listings, TRREB transactions, and market trends. Not a model guessing, but the comparable parcels themselves, surveyed and ruled.
Five primitives — search, sold comps, trends, shortlists, neighbourhood — all sourced, all auditable.
Active and historic listings filtered the way a buyer actually asks — by budget band, area, type, and intent.
The right comps for a list price or an offer — matched on type, beds, radius, and recency, with the math shown.
Price, inventory, and absorption by neighbourhood and property type — quarter over quarter.
Carry a working set of properties across a conversation — compare, annotate, export.
Schools, transit, amenities, and zoning context that frames every property.
Equip every agent with sourced comparable-sale support for listing and offer conversations, market reports, and buyer education by price band and area.
8 comps within 600m · median $1.14M · supports the price with 2 caveats — receipts attached.
Every answer is built from real records and cites its comps. The model reads the data — it never invents it.
The trade-off across 99 active listings and 90 days of sold comps in Durham under $800K.
| Median sold | $612K |
|---|---|
| Days on market | 22 |
| Price ÷ sqft | $748/ft² |
| Active listings | 61 |
| Median sold | $781K |
|---|---|
| Days on market | 16 |
| Price ÷ sqft | $512/ft² |
| Active listings | 38 |
Caveat — freehold inventory skews older and north of Hwy 401. For a sub-$750K budget, condos give more move-in-ready options closer to GO transit.
See agent0 answer your real questions, with your market, in a 20-minute walkthrough.