MCP serverau.com.microburbs/property-data

Discover which statistical fields exist. Free (0c). Fuzzy, token-based matching covers table topics and clean column labels as well as terse field codes. Common natural-language pl

List the regions that exist at a level — every suburb, LGA, postcode, etc. Free (0c). Use it to discover the exact region names to pass to /values. **Free.**

Statistical field values for one region. Pass `fields` — 1 to 5 field codes (from /fields) — to fetch. At SAL level, `mode=sa1` switches from the suburb-aggregate value to a per-S

Resolve a freeform address string to candidate G-NAF identifiers. Use this before calling any ``/v1/properties/{gnaf_id}/...`` route — those endpoints require a GNAF in the path.

Autocomplete a partial suburb search string against the ABS SAL list. Use this before calling ``/v1/suburbs/{name}/...`` — those endpoints require a canonical SAL name in the path.

All Australian LGAs. Optional `?state=` filter (e.g. 'NSW'). Returns `{lga, state}` per row. Flat cost. **Price: 3¢ per call.**

LGA's parent chain — state + GCCSA. LGAs aren't strictly nested in SA4 so the upward chain stops there. **Price: 3¢ per call.**

Mesh-block codes inside a suburb. ``sal`` is required for now — nationwide / by-LGA / by-SA3 listings will land later when there's a story for the large payloads (a single LGA can

The mesh block's upward ABS chain — SA1, SA2/3/4, GCCSA, state — plus the parallel admin chain (LGA, suburb (SAL), postcode). **Price: 3¢ per call.**

Return key identity and the authoritative Autumn credit balance. **Free.**

Returns immediately if the API is up. No authentication required and not metered — safe to poll from a load balancer, uptime monitor, or status dashboard without affecting your usa

Curated amenities (supermarkets, green spaces, restaurants/cafes) within `radius_m` of the property, bucketed and nearest-first. **Price: 10¢ per call.**

**Price: 23¢ per call.**

Bathroom count from the latest matching listing. **Price: 5¢ per call.**

Bedroom count from the latest matching listing. **Price: 5¢ per call.**

Dwelling type (house, unit, townhouse, ...). **Price: 5¢ per call.**

Parcel land area in square metres from the cadastral feed. **Price: 3¢ per call.**

Parking-space count from the latest matching listing. **Price: 5¢ per call.**

**Price: 74¢ per call.**

Top comparable sales used to triangulate the subject property's value. **Price: 60¢ per call.**

Single best comparable from the CMA set (highest dist_score). **Price: 10¢ per call.**

Recent comparable sales in a small radius around the subject parcel. **Price: 4¢ per call.**

Mesh-block polygons within 1 km of the property (GeoJSON), each with avg annual growth, investor counts, modal street and median sold price. **Price: 30¢ per call.**

Currently for-sale listings within `radius_km` of the property (newest first, max 30) with AVM and rent-yield comparison. **Price: 20¢ per call.**

The subject's bedroom band (bed count from listing history) and the suburb's 10-year price series for that band. **Price: 15¢ per call.**

**Price: 8¢ per call.**

Primary zoning at the property's point — code (R2, B4, ...) when the council ships one, plus the human-readable name and the broader category. **Price: 3¢ per call.**

Development overlays intersecting the property's parcel. **Price: 5¢ per call.**

**Price: 80¢ per call.**

Adjoining-parcel neighbours, enriched with address + property type + bed/bath/garage from the latest matching listing. **Price: 30¢ per call.**

Resolve a GNAF to its full ABS Statistical Geography Standard hierarchy (Mesh Block → SA1 → SA2 → SA3 → SA4 → GCCSA → State) plus the parallel admin chain (LGA, suburb (SAL), postc

All For Rent records, most-recent first. **Price: 30¢ per call.**

Most-recent For Rent record. **Price: 10¢ per call.**

Every property-level risk overlay in one call. Flat 30¢ — may grow without increasing the bundle price as new overlays are added. With ``?geojson=true`` each risk that has a polyg

Bushfire-prone-area overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is in a bushfire zone". **Price: 15¢ per call.**

Environmental-risk overlay (contamination, salinity, ...). **Price: 3¢ per call.**

Coastal / soil erosion overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is eroding". **Price: 3¢ per call.**

Modelled flood overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property floods". **Price: 10¢ per call.**

Heritage-listing overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is heritage-listed". **Price: 3¢ per call.**

Recorded historical flood extents within 1 km. Read `on_property` — a returned row means "found nearby", not "this property flooded". **Price: 3¢ per call.**

High-voltage power-line easement near the parcel. **Price: 2¢ per call.**

Landslide-risk overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is at landslide risk". **Price: 3¢ per call.**

Mobile-coverage black-spot overlay near the parcel. **Price: 2¢ per call.**

Public-housing concentration overlay near the parcel. **Price: 4¢ per call.**

All Sold + For Sale records, most-recent first. **Price: 30¢ per call.**

Most-recent Sold or For Sale record. **Price: 10¢ per call.**

**Price: 105¢ per call.**

Schools within ~5km of the property, with rank + student counts. **Price: 5¢ per call.**

Schools within ~5km of the property, ranked by NAPLAN / socioeconomic score. **Price: 100¢ per call.**

The property's own street: current median price, 2/4/8-year price forecasts, realised growth, sale/rental turnover, renter share and houses/units on the street — plus the suburb-wi

Latest sold/rent dates and likely-owner-status signal per nearby property. **Price: 20¢ per call.**

Cadastral parcel polygons (GeoJSON) for properties around the subject. **Price: 25¢ per call.**

Every GNAF property within 200 m of the subject, with lat/lng and mesh block. **Price: 15¢ per call.**

Properties around the subject flagged by the public-housing classifier. **Price: 15¢ per call.**

ABS Census 2021 tenure shares for each mesh block around the subject. **Price: 15¢ per call.**

Nearest train / tram / bus / ferry stop to the property, per mode, with distance. Widen `radius_m` for the nearest station beyond 1km. **Price: 5¢ per call.**

Quoting accuracy of the property's current listing agency — cohort, median guide-vs-sold deviation, underquote rate and its 5 most-recent tracked sales. Only while the property is

**Price: 10¢ per call.**

Microburbs ML AVM for a single GNAF — point estimate, 80% range, plus a confidence score (0–100) derived from the interval width. **Price: 10¢ per call.**

Council land valuations for the parcel — val_2021..val_2025 series with YoY change and $/sqm, plus lot area and zoning description. **Price: 15¢ per call.**

Negative-gearing stat at the finest available level: per-property cashflow scenarios (80% + 105% LVR), falling back to mesh-block then suburb investor-exposure. **Price: 20¢ per c

Modelled property value over time (monthly for the last year, annual before that). Houses only — units have no series. **Price: 30¢ per call.**

All Australian SA4s. Optional `?state=` filter. Returns `{sa4, state}` per row. Flat cost. **Price: 3¢ per call.**

SA4's parent chain — GCCSA + state. **Price: 3¢ per call.**

Per-crime-type rates (predicted incidents per 100,000 residents per year) for the suburb vs national medians.

Total crime rate for every mesh block in the suburb, keyed by ABS mesh-block code. Values are predicted incidents per 100,000 residents per year (see the payload's `unit` / `defini

Suburb and national total-crime medians (predicted incidents per 100,000 residents per year) with a vs-national verdict.

Population by age bracket and gender.

Age + income — bundle

The dominant ancestry (and its share) in each of the suburb's microburbs, plus suburb-level ancestry shares. Pilot coverage.

ABN industry-mix pattern (Diverse / Professional-services-heavy / Mining-exposed / Low-commercial residential) plus the POI categories unusually common in the suburb, with named ex

How the suburb ranks inside its SA4 region and against its touching neighbours on renter share, welfare dependency, overseas-born parents and public housing.

Suburb cultural-integration composite (0-100) with national percentile and tier, plus the per-microburb scores behind it.

Household income breakdown by bracket.

Median weekly household income for every microburb in the suburb, plus the suburb median, national percentile and highest/lowest pockets.

Total suburb population is `current_population` (ABS Census 2021), alongside suburb census points (2011/2016/2021) and the LGA's yearly population series with a 10-year modelled pr

Share of residents attending Catholic / Independent schools — suburb rollup plus the per-microburb shares behind it.

Single-parent-family share for the suburb against the pinned national median, with the associated capital-growth impact.

Explicit total owner-occupation rate plus owned-outright / mortgaged / renting / public-housing shares — a suburb rollup and the per-microburb downscaled Census shares. `owner_occu

Welfare-dependency and public-housing shares with the suburb's underclass tier (High / Mid / Low) and the capital-growth impact associated with that tier. Regional and neighbour ra

Labour-force-weighted unemployment rate for the suburb against the pinned national median, plus the per-microburb shares behind it.

Projected first-preference shares per party, aggregated across the suburb's microburbs (booth-derived model — not an actual vote).

DA count + DA list — bundle

Recent development applications (up to 100, newest first) with category counts.

Height-of-building and floor-space-ratio control polygons with band summaries.

Satellite-detected construction change per mesh block plus a suburb rollup.

Council capex / project-pipeline signals extracted from the LGA's meeting minutes — each with stage, dollar value, location and time horizon — plus a rollup of the total pipeline i

Average annual residential council rate for the suburb's LGA.

Count of recent development applications in the suburb.

Recent development applications lodged in the suburb.

Dwellings and people per km², plus the land area and counts behind them.

Dwelling-mix scalars — apartment share and average lot size.

New dwellings (last 24 months) split units vs houses per mesh block plus a rollup.

Zoning polygons clipped to the suburb, with per-class and parent-group area shares.

All ethnicity — bundle

Ancestry breakdown from the ABS census.

Country-of-birth breakdown from the ABS census.

How many suburbs match the filter, without paying per row. 5c. Use this to size a result before searching: /search is capped at 25 rows per call, so `total` here tells you how man

Every field you can filter / sort on, with its label and unit. 0c. Houses and units are separate keys: the `unit`-prefixed ones (`unitMedianPrice`, `unitGrossYield`, `unitMedianRe

SA4 regions grouped by state — the values accepted by `states` / `regions` on search. 0c. **Free.**

Boolean-AND range filter over suburb metrics, single-column sort, paginated. Every row carries its `rank` — position in the ranked result (1 = top of the sort, out of `meta.total`)

1-year sale-price growth forecast (low / most-likely / high).

Nearest neighbouring suburbs with distance in km, closest first.

12-month sale-price growth by property type (house / unit).

State, SA3/SA4, postcode, population, dwellings and centroid for the suburb.

Straight-line distance to the nearest city and to the nearest capital, in km. Both, because they answer different questions and are often nowhere near each other: Belmont North is

Nearest beach and hospital with straight-line distances (null = none within ~50 km).

Livability scores (0–100) per dimension, aggregated from mesh-block scores, with the SA4 benchmark.

All seven livability dimensions — affluence, lifestyle, hip, convenience, family, safety, tranquility — scored 0-100 for every microburb (mesh block) in the suburb, each with its h

One plain-English sentence per livability dimension for the suburb.

What the absence of petrol stations, fast food and bottle shops near sold properties was worth.

Every named venue / amenity in the suburb as GeoJSON Point features, plus a per-category count. Each point carries `name`, a broad `category` (Restaurant / Cafe, Shopping, Health,

POI category breakdown, terrain scalars, nearest train/shop and beach/hospital flags.

List Australian suburbs (SALs). Always returns `{suburb, state}` per row so SAL-name collisions across states are unambiguous. With no filter you get the first 1000 suburbs alphab

Current for-sale listings in the suburb, with address, price, beds/baths and coordinates per listing. `total` is the full number on the market (computed before `limit`), so a coun

Microburbs affordability index for the suburb's postcode area.

The eight headline market indicators in one call: median sale price and median rent (each with its full history), 5-year price growth, gross yield, days on market, and transaction

House/unit price, sales volume, median bath/car/land, and stock mix per bedroom count.

Estimated build-year profile — suburb aggregate + per-mesh-block medians.

Same-SA3 comparable-suburb candidates (canonical SAL names).

Median days on market for current listings.

Median days on market across the suburb's greater region (GCCSA) — compare with /market/days-on-market.

Per-indicator capital-growth attribution for the suburb. Each row pairs the suburb's own value for an indicator with the capital-growth differential our matched studies attribute

Rental (investor) share per mesh block, with a suburb-wide rollup.

Suburb land-value medians ($/sqm, lot size, land share of price) + per-mesh-block $/sqm.

Median house price for every microburb (mesh block) in the suburb, with its modal street name, plus the dearest and cheapest pockets. Values only — the matching polygons come from

Latest median weekly rent for the suburb.

Full median weekly-rent observation history for the suburb, including 2024 and 2025 where the suburb has coverage. Older observations are generally month-end and recent observation

Latest median sale price for the suburb.

Full median sale-price observation history for the suburb. Well-covered suburbs extend back 20+ years; coverage and observation frequency vary. This is the raw historical series ne

How many months the current for-sale stock would take to clear at the suburb's current sales rate. Under 2 months is a seller's market.

Mortgage-stress score (0-100) for the suburb, with per-mesh-block breakdown.

Past compound sale-price growth over 1 / 3 / 5 / 10 years, by property type (decimal). The 3y / 10y figures are the same ones the Suburb Finder ranks on.

5-year compound sale-price growth (decimal).

The last four weekly smart-median observations — house price, unit price and house rent — each with its week-on-week percentage change.

Median advertised weekly house rent for every microburb (mesh block) in the suburb, with its modal street name, plus the dearest and cheapest pockets. Values only — the matching po

Realised resale growth — summary + individual buy/sell pairs (max 500).

Properties currently listed for sale in the suburb, split house/unit, with the suburb's rank among its peers.

Median estimated annual strata levy for the suburb.

For-sale listings per 100 dwellings (90 days) — per mesh block + suburb rollup.

Recent sale-transaction count for the suburb.

Calibrated rental-vacancy rate for each mesh block in the suburb.

Suburb-wide rental vacancy rate by property type, as a decimal fraction (0.00842 = 0.84%). Use `/market/vacancy-map` for the per-mesh-block surface.

Full rental-vacancy history by property type, decimal fractions.

Gross rental yield for every microburb (mesh block) in the suburb — weekly rent x 52 over median price — with both inputs returned so the number is checkable, plus the best- and wo

Gross rental yield = median rent annualised / median sale price.

Full gross-rental-yield history by property type, decimal fractions.

The suburb's upward ABS admin chain — LGA, SA2/3/4, GCCSA, state, postcode. Use ``/v1/suburbs/list`` to discover canonical SAL names (and filter by state / LGA / SA4 / postcode).

Bushfire + flood — bundle

Share of the suburb AREA covered by bushfire-prone designation. Area, not properties — and the two differ a lot. Belmont North is 45.72% by area but 23.62% by property count, beca

Matched-study capital-growth impact (%/yr) for bushfire, flood, contamination, mine subsidence, aircraft noise and surface acid sulfate, scaled by the share of properties affected.

Counts of contamination points, heritage items and erosion-prone polygons inside the suburb.

Landslide / storm-tide coverage, EPA notices, landlord-insurance medians and crime benchmark, with per-microburb detail.

Share of the suburb AREA covered by modelled flood overlays. Area, not properties. For the share of DWELLINGS affected — the figure our own reports headline — use `GET /v1/suburbs

Share of the suburb's properties inside a heritage polygon.

Whether high-voltage transmission lines cross the suburb, how many, and the highest voltage class (overhead lines only).

Counts and shares of the suburb's properties flagged bushfire / flood / mine-subsidence / contamination / aircraft-noise / acid-sulfate.

Median / 90th-percentile property gradient and share of steep (>10°) properties.

Properties sold in the suburb over the last 3 years, with beds/baths/land size, sale price and date, and coordinates. Paginated: `total` reports how many sales are available for t

Number of sales and median sold price in the suburb over the last 3 years.

All schools — bundle

Public-school catchment polygons covering the suburb.

Schools serving / near the suburb, with rank + attendance data.

Simplified SAL boundary polygon (GeoJSON Feature) plus centroid.

Busy-road line segments clipped to the suburb — the report's road-noise exposure proxy.

Registered easement geometries intersecting the suburb (GeoJSON FeatureCollection).

Hazard polygons for one layer, clipped to the suburb boundary (empty collection = hazard not present).

ABS 2021 mesh-block polygons covering the suburb (GeoJSON FeatureCollection, MB code per feature).

Neighbouring suburbs as a GeoJSON FeatureCollection — each with its boundary polygon and distance in km.

Precomputed noise colour regions clipped to the suburb, plus cell-centre heat points.

SA1 polygons in the suburb with their 2021 census public-housing share (only SA1s above 0%).

Top-10 suburbs ranked closest by Microburbs' similarity model.

2/4/8-year price forecasts for every street in the suburb, anchored to the real sold median. Unpaged by default. Large suburbs are large — Point Cook has 943 streets (~1.4 MB) — s