Real-estate agent toolkit

Win the listing. Win the showing. Win the offer.

27 instant-answer questions that real-estate agents face every day — grounded in live comps, climate risk, schools, demographics, and multi-year market history. Load a property session once; every answer below runs on that data.

Try it in chat Or load a session below

Step 1required

Load a property session

The analytical tools below all read from a Redis-cached property session. Load one once — every question in the catalogue reuses it for instant answers (comps, climate, schools, market trends).

Step 2 · Ask anything27 curated questions

Real-estate-agent question library

Each question maps to one or more analytical MCP tools. Click any card for an example response now, or run it live against your loaded property session.

All answers grounded in live comps data pulled this session. These questions deliver a defensible price range — the math behind a CMA — in seconds, with the underlying comps visible.

Under the hood

MCP tools powering this toolkit

Every question above is wired to one of these analytical tools. Read the system prompt or your own AI agent will call them directly.

load_properties_to_sessionStep 1

Loads a property session for a primary address + radius into Redis and returns a session_id. Run this first — every other agent tool reads from the cached session.

search_property_listings

Active listings inside the session area with full filters — price, beds, baths, sqft, amenities. Powers buyer scenarios and listing-side competition counts.

get_property_reach_comparables

Recent comparable sales inside a configurable radius with full sqft / lot / sale-date breakdown. Backbone of every CMA, pool-premium, and outlier-detection question.

get_property_reach_nearby_insights

Micro-neighborhood aggregates (50-property radius): median sale, median AVM, owner-occupancy, vacancy, list-to-sale ratio. The data ceiling for listing pricing.

get_climate_risk

Fire / inland flood / coastal flood / storm / heat scores with 2050 projections and FEMA zone. Powers insurance forecasts, mandatory disclosures, and risk comparisons.

get_nearby_schools

GreatSchools ratings + distance for every school within walking + driving radius, by grade level. The first question family buyers ask.

get_area_statistics

Demographics + cost-of-living index for a ZIP — median age, HHI, owner-occupancy, COL multiplier. Powers buyer-fit profiles and relocation calculators.

get_supply_demand · get_market_trends · get_price_per_sqft

Multi-year supply/demand, DOM trends, list/sale ratios, $/sqft history. Build the market-narrative slide every seller appointment needs.

compare_session_areas

Side-by-side comparison of two or more loaded areas across pricing, inventory, demographics, and risk. Powers the cross-ZIP question family.

Ready to ask anything?

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