get_housing_area_insights

shallow

tech.dataporium/mcp · Verify this server

Full details of ONE US area in one call: the housing market, property tax, crime, demographics, climate and environmental risk, air quality and the neighborhood profile (schools, amenities, walkability, noise). Name the area with zip, or city + state, or county + state, or metro (e.g. 'Los Angeles, CA'), or just state; a state can be 'CA' or 'California'. Pick the parts with include: market (home value and rent levels, 1-year changes, forecast, homes for sale, and for metro areas also inventory, days to pending, price cuts and affordability), market_history (the long monthly time series of values and rents: only added when you ask for it, newest 24 months by default, use months or date_from/date_to for other periods), tax, crime, demographics, environmental_hazards, climate_risk, air_quality, neighborhood_profile, elections (how the area voted in the latest presidential elections, Senate and governor races, partisan lean and turnout: "how does X vote?"), jobs (unemployment rate by month and average weekly pay: "what is the unemployment rate in X?"), permits (new homes approved by building permits: "how many new homes are being built in X?"), migration (people moving in and out, net, top origins and destinations: "are people moving to X?") and gas_prices (weekly pump prices of the closest area the survey covers). Jobs, permits and migration of a ZIP or city use its county (jobs use the city itself when it has 25,000+ people). Without include you get market, tax, crime, demographics, climate_risk, neighborhood_profile and jobs as a compact summary. A part with no data for that area says available false with the reason (crime and demographics for a ZIP use the ZIP's city). When you present crime data, quote the source_note that comes with it: it says whose figures these are (the place's own police department, a county sheriff, or a neighboring city when the place has none) and, for a ZIP code, that the figures are for the city. The answer has website_link to see the homes of the area on the map at dataporium.tech: share it. To compare or rank many areas use search_housing_areas; to list the homes of an area use search_properties.

100.0/100

1 trials · measured 2 days ago

get_housing_area_insights scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against tech.dataporium/mcp, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
open
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-06100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: get_housing_area_insights
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get_housing_area_insights — Vouch