appraisal
ChatGPTGenerate an IQ appraisal report for a subject property. Produces a full appraisal (cost approach + comparable sales with per-comp adjustments, zoning/flood context, and valuation) for the subject described by the parameters. WORKFLOW — call get_property_info for the address FIRST. It returns an appraisal_inputs block (parcel_id, property_type, year_built, gross_living_area, bedrooms, bathrooms_full, stories, lat, lon) pre-filled from the parcel + listing data. Use those values here rather than guessing. INTERACTIVE — the inputs that are NOT derivable from the parcel/listing, build_quality (ECONOMY / STANDARD / PREMIUM) and land_acquisition_cost, have no defaults. If you call without them, this returns status: "needs_input" with the questions to ask the user; ask them (and confirm any subject field get_property_info flagged as missing), then re-call with the answers. VACANT LAND — when property_type denotes vacant land (e.g. "Vacant Land", "Land", "Lot"), the improvement fields (year_built, gross_living_area, bedrooms, bathrooms_full, stories) and build_quality describe a building that does not exist, so they are NOT required and are NOT asked for. For every OTHER property type, those structural fields are required: if any is missing this returns needs_input asking the user to supply them. Required: address, parcel_id, type ("parcel" | "property" | "plan"), property_type (e.g. "Single Family"), lat, lon. For non-land property types also: build_quality, year_built, gross_living_area (sqft), bedrooms, bathrooms_full, stories. When type="plan", also pass architectural_plan_id. Optional report inputs (owner/site/improvement details) can be passed as named args or via extra — a dict of any additional /appraisal_iq fields such as topography, views, foundation_type, roof_surface, exterior_walls, window_type, floors, interior_walls, heating_system, cooling_system, appliances, etc. User-selected values override system-derived ones. Returns the structured appraisal report (no narrative).
appraisal
ChatGPTGenerate an IQ appraisal report for a subject property. Produces a full appraisal (cost approach + comparable sales with per-comp adjustments, zoning/flood context, and valuation) for the subject described by the parameters. WORKFLOW — call get_property_info for the address FIRST. It returns an appraisal_inputs block (parcel_id, property_type, year_built, gross_living_area, bedrooms, bathrooms_full, stories, lat, lon) pre-filled from the parcel + listing data. Use those values here rather than guessing. INTERACTIVE — the inputs that are NOT derivable from the parcel/listing, build_quality (ECONOMY / STANDARD / PREMIUM) and land_acquisition_cost, have no defaults. If you call without them, this returns status: "needs_input" with the questions to ask the user; ask them (and confirm any subject field get_property_info flagged as missing), then re-call with the answers. VACANT LAND — when property_type denotes vacant land (e.g. "Vacant Land", "Land", "Lot"), the improvement fields (year_built, gross_living_area, bedrooms, bathrooms_full, stories) and build_quality describe a building that does not exist, so they are NOT required and are NOT asked for. For every OTHER property type, those structural fields are required: if any is missing this returns needs_input asking the user to supply them. Required: address, parcel_id, type ("parcel" | "property" | "plan"), property_type (e.g. "Single Family"), lat, lon. For non-land property types also: build_quality, year_built, gross_living_area (sqft), bedrooms, bathrooms_full, stories. When type="plan", also pass architectural_plan_id. Optional report inputs (owner/site/improvement details) can be passed as named args or via extra — a dict of any additional /appraisal_iq fields such as topography, views, foundation_type, roof_surface, exterior_walls, window_type, floors, interior_walls, heating_system, cooling_system, appliances, etc. User-selected values override system-derived ones. Returns the structured appraisal report (no narrative).
estimate_construction_cost
ChatGPTEstimate the construction cost of a building. Computes a localized construction cost estimate from the gross floor area (sqft), build quality, story count and basement/garage configuration for a given state and county.
estimate_construction_cost
ChatGPTEstimate the construction cost of a building. Computes a localized construction cost estimate from the gross floor area (sqft), build quality, story count and basement/garage configuration for a given state and county.
find_parcel
ChatGPTFind parcels matching a street address. Returns candidate parcels with parcel_id, address, city, state, zip and county. Use this first to resolve a free-text address into a parcel_id that the zoning and cost tools require.
find_parcel
ChatGPTFind parcels matching a street address. Returns candidate parcels with parcel_id, address, city, state, zip and county. Use this first to resolve a free-text address into a parcel_id that the zoning and cost tools require.
get_comparable_sales
ChatGPTGet comparable sales (comps) for a property. Returns recent comparable sales near a subject property, for valuation and appraisal context. Identify the subject one of three ways (in priority order): a property_id, a parcel_id (a state is required — it is inferred from the address when omitted), or just an address (resolved to a parcel automatically). Passing an address is the simplest — you don't need a parcel_id first.
get_comparable_sales
ChatGPTGet comparable sales (comps) for a property. Returns recent comparable sales near a subject property, for valuation and appraisal context. Identify the subject one of three ways (in priority order): a property_id, a parcel_id (a state is required — it is inferred from the address when omitted), or just an address (resolved to a parcel automatically). Passing an address is the simplest — you don't need a parcel_id first.
get_development_kpis
ChatGPTGet development KPIs for a property. Returns headline development metrics (estimated cost, value, margin and related KPIs) for a property, combining construction cost with land cost. INTERACTIVE — build_quality and land_acquisition_cost materially change the equity/margin KPIs and have no defaults. If you call without them, this returns status: "needs_input" with questions to ask the user; ask, then re-call with the answers (pass land_acquisition_cost=0 to exclude land).
get_development_kpis
ChatGPTGet development KPIs for a property. Returns headline development metrics (estimated cost, value, margin and related KPIs) for a property, combining construction cost with land cost. INTERACTIVE — build_quality and land_acquisition_cost materially change the equity/margin KPIs and have no defaults. If you call without them, this returns status: "needs_input" with questions to ask the user; ask, then re-call with the answers (pass land_acquisition_cost=0 to exclude land).
get_highest_resale_plan
ChatGPTFind the highest-resale-value building plan for a property. Returns the architectural plan projected to yield the highest resale value for the given parcel/address.
get_highest_resale_plan
ChatGPTFind the highest-resale-value building plan for a property. Returns the architectural plan projected to yield the highest resale value for the given parcel/address.
get_optimal_build_area
ChatGPTRecommend the optimal buildable area for a parcel. Returns the suggested gross floor area that maximizes development value given local zoning and cost conditions.
get_optimal_build_area
ChatGPTRecommend the optimal buildable area for a parcel. Returns the suggested gross floor area that maximizes development value given local zoning and cost conditions.
get_parcel_zoning
ChatGPTGet detailed zoning info for a parcel. Returns the parcel's zoning_code, lot area, owner and coordinates. Requires a parcel_id (use find_parcel to obtain one).
get_parcel_zoning
ChatGPTGet detailed zoning info for a parcel. Returns the parcel's zoning_code, lot area, owner and coordinates. Requires a parcel_id (use find_parcel to obtain one).
get_plan
ChatGPTRetrieve full details for a single architectural plan by its ID. plan_id is the plan's UUID id — the value in the id field of the recommended_plans / sample_plans returned by smartbuild and overview. Returns the plan's specs, floor-plan / elevation images, and purchase URL. Note on Plan Numbers: users usually reference a plan by its Plan Number (e.g. "70667MK"), which appears as plan_number next to the id in any prior smartbuild / overview result — pass the matching id here. Looking a plan up by Plan Number alone (with no prior result in context) isn't supported yet.
get_plan
ChatGPTRetrieve full details for a single architectural plan by its ID. plan_id is the plan's UUID id — the value in the id field of the recommended_plans / sample_plans returned by smartbuild and overview. Returns the plan's specs, floor-plan / elevation images, and purchase URL. Note on Plan Numbers: users usually reference a plan by its Plan Number (e.g. "70667MK"), which appears as plan_number next to the id in any prior smartbuild / overview result — pass the matching id here. Looking a plan up by Plan Number alone (with no prior result in context) isn't supported yet.
get_property_info
ChatGPTGet details for a property — and the inputs needed to appraise it. Returns the parcel record (lot size, zoning code, ownership, setbacks, coordinates) PLUS live building attributes (beds, baths, gross living area, year built, stories, property type, lat/lon) pulled from an external listing source. The combined data is surfaced under appraisal_inputs — a ready-made set of the subject fields the appraisal tool requires, so you can call appraisal next without guessing them. Pass a full street address (preferred — include city and state) or a parcel_id. The address is resolved to a parcel first, so the lookup is fast and reliable. Call this BEFORE appraisal to auto-fill the subject.
get_property_info
ChatGPTGet details for a property — and the inputs needed to appraise it. Returns the parcel record (lot size, zoning code, ownership, setbacks, coordinates) PLUS live building attributes (beds, baths, gross living area, year built, stories, property type, lat/lon) pulled from an external listing source. The combined data is surfaced under appraisal_inputs — a ready-made set of the subject fields the appraisal tool requires, so you can call appraisal next without guessing them. Pass a full street address (preferred — include city and state) or a parcel_id. The address is resolved to a parcel first, so the lookup is fast and reliable. Call this BEFORE appraisal to auto-fill the subject.
get_zoning_regulations
ChatGPTGet the regulations for a zoning code. Returns permitted uses, setbacks, height limits, lot/coverage rules and other constraints for a given zoning code (e.g. "RS-3") in a state.
get_zoning_regulations
ChatGPTGet the regulations for a zoning code. Returns permitted uses, setbacks, height limits, lot/coverage rules and other constraints for a given zoning code (e.g. "RS-3") in a state.
health
ChatGPTHealth check — confirms the IQland connector is reachable.
health
ChatGPTHealth check — confirms the IQland connector is reachable.
list_remote_connectors
ChatGPTList the remote Claude connectors this service can reach (no secrets).
list_remote_connectors
ChatGPTList the remote Claude connectors this service can reach (no secrets).
overview
ChatGPTGet a complete address overview, organized for a full property report. Pass just an address. The tool auto-detects the scope (parcel / neighborhood / city / zip) and aggregates IQland data into six sections, each with a guidance line describing what to produce: 1. property_classification - zoning code, property type, permitted uses, ordinance 2. parcel_metrics - lot size & dimensions, buildable area, setbacks, height 3. development_potential - building envelope, FAR, max GFA, options, constraints, KPIs 4. neighborhood_location - coordinates, amenities by category, nearby places, lifestyle 5. housing_market - comps-derived market_summary (real local figures) + comps 6. demographics - city/state anchor for a Census-ACS community profile Sections 1-3 are only populated for a specific street address. Where the backend has no parcel-level data (walk/transit scores, city-wide market trends, demographics), each section's guidance tells you to supplement from public knowledge of the City, ST — always label those as estimates. Returns raw structured data (no narrative) for you to organize into the report. scope/includes_parcel_zoning say what was resolved; per-section fetch failures appear under errors without failing the call.
overview
ChatGPTGet a complete address overview, organized for a full property report. Pass just an address. The tool auto-detects the scope (parcel / neighborhood / city / zip) and aggregates IQland data into six sections, each with a guidance line describing what to produce: 1. property_classification - zoning code, property type, permitted uses, ordinance 2. parcel_metrics - lot size & dimensions, buildable area, setbacks, height 3. development_potential - building envelope, FAR, max GFA, options, constraints, KPIs 4. neighborhood_location - coordinates, amenities by category, nearby places, lifestyle 5. housing_market - comps-derived market_summary (real local figures) + comps 6. demographics - city/state anchor for a Census-ACS community profile Sections 1-3 are only populated for a specific street address. Where the backend has no parcel-level data (walk/transit scores, city-wide market trends, demographics), each section's guidance tells you to supplement from public knowledge of the City, ST — always label those as estimates. Returns raw structured data (no narrative) for you to organize into the report. scope/includes_parcel_zoning say what was resolved; per-section fetch failures appear under errors without failing the call.
search_properties
ChatGPTSearch for properties / listings. Searches IQland's property index by location and filters (status, price range, living area). Provide a city/area in address.
search_properties
ChatGPTSearch for properties / listings. Searches IQland's property index by location and filters (status, price range, living area). Provide a city/area in address.
smartbuild
ChatGPTRun a full build-feasibility analysis for a parcel address. Pass a parcel street address. SmartBuild chains the IQland services: 1. Resolves the parcel and pulls its geometry + setbacks to compute the buildable envelope (buildable area, width, depth). 2. Fetches the parcel's zoning regulations. 3. Computes the optimal floor-area band from comparable sales. 4. Finds architectural plans that fit the buildable envelope and band. 5. Returns valuation/KPIs (cost, value, equity) for the top-ranked plan. build_quality drives both plan ranking and the construction-cost / equity figures (ECONOMY < STANDARD < PREMIUM < LUXURY). land_acquisition_cost is the parcel's purchase/listing price and is fed into the equity model (equity = projected value − construction cost − acquisition cost); pass 0 only if it's truly unknown. INTERACTIVE — both build_quality and land_acquisition_cost are required and have NO defaults. If you call without either, this returns status: "needs_input" with the exact questions to ask the user; ask them, then re-call with the answers. Don't guess — these materially change cost and equity. The chosen values are echoed back under inputs. Returns structured data only (no narrative): inputs, buildable_envelope, zoning_regulations, optimal_area, recommended_plans (top 4 — present the more_plans.url SmartBuild link for the full library), selected_plan_id, and valuation. Requires a specific parcel address — a bare city/zip is rejected. Per-step failures appear under errors. To pull full details for one plan, pass its id to get_plan.
smartbuild
ChatGPTRun a full build-feasibility analysis for a parcel address. Pass a parcel street address. SmartBuild chains the IQland services: 1. Resolves the parcel and pulls its geometry + setbacks to compute the buildable envelope (buildable area, width, depth). 2. Fetches the parcel's zoning regulations. 3. Computes the optimal floor-area band from comparable sales. 4. Finds architectural plans that fit the buildable envelope and band. 5. Returns valuation/KPIs (cost, value, equity) for the top-ranked plan. build_quality drives both plan ranking and the construction-cost / equity figures (ECONOMY < STANDARD < PREMIUM < LUXURY). land_acquisition_cost is the parcel's purchase/listing price and is fed into the equity model (equity = projected value − construction cost − acquisition cost); pass 0 only if it's truly unknown. INTERACTIVE — both build_quality and land_acquisition_cost are required and have NO defaults. If you call without either, this returns status: "needs_input" with the exact questions to ask the user; ask them, then re-call with the answers. Don't guess — these materially change cost and equity. The chosen values are echoed back under inputs. Returns structured data only (no narrative): inputs, buildable_envelope, zoning_regulations, optimal_area, recommended_plans (top 4 — present the more_plans.url SmartBuild link for the full library), selected_plan_id, and valuation. Requires a specific parcel address — a bare city/zip is rejected. Per-step failures appear under errors. To pull full details for one plan, pass its id to get_plan.
