NiftyBot - Enrich Real Estate Data with Advanced AI

Deals hinge on comps and timing.

NiftyBot synthesizes rent and sale comps, cap rates, and neighborhood signals to deliver go/no-go clarity from your inputs and public patterns. You act faster with fewer surprises.

Complexity: Medium

Cap Rate Estimator

Underwriting needs a fast first pass. This call estimates cap rate and NOI for a neighborhood retail strip using public ranges and your inputs. You decide whether to dig deeper, fast.

REQUEST


{ "source": { "broker": "CBRE", "asset_type": "neighborhood_retail", "city": "Phoenix, AZ", "asking_price_usd": 5200000, "annual_gross_rent_usd": 470000, "vacancy_rate_pct": 6 }, "requests": [ { "field_name": "noi_estimate", "field_type": "numeric" }, { "field_name": "cap_rate", "field_type": "numeric" } ] }

RESPONSE


{ "enrichments": [ { "field_name": "noi_estimate", "value": 392000, "confidence": 0.75, "method": "calculation", "reasoning": "Vacancy-adjusted gross less typical opex assumptions for strip retail." }, { "field_name": "cap_rate", "value": 7.5, "confidence": 0.73, "method": "calculation", "reasoning": "NOI divided by asking price; aligns with public Phoenix neighborhood retail ranges." } ] }

Complexity: Low

Rent Comp Synthesizer

Pricing a unit shouldn’t be a hunch. This call proposes a rent for a 1-bed in Austin from recent comps and gives the why. Vacancies shorten while concessions shrink.

REQUEST


{ "source": { "address": "201 Lavaca St, Austin, TX", "beds": 1, "baths": 1, "sqft": 780, "amenities": ["gym", "pool", "parking"], "data_provider": "Zillow" }, "requests": [ { "field_name": "suggested_rent", "field_type": "numeric" }, { "field_name": "comp_rationale" } ] }

RESPONSE


{ "enrichments": [ { "field_name": "suggested_rent", "value": 2395, "confidence": 0.79, "method": "estimation", "reasoning": "Recent downtown Austin 1-bed comps with similar amenities and footage indicate this range." }, { "field_name": "comp_rationale", "value": "Comparable buildings within 0.5 miles with gym and pool are closing between 2290–2490 for 700–820 sqft.", "confidence": 0.76, "method": "assessment", "reasoning": "Ranges derived from nearby listings and recent closes; exact comp addresses omitted." } ] }