microburbs

Name: microburbs
Author: microburbs

The largest and most comprehensive real estate and geospatial dataset in Australia - every address, street and ABS mesh block in the country.

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

Ping: 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 usage.
Ping Head: 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 usage.
Me: Return key identity and the authoritative Autumn credit balance.

What data it sees

Do you need an account

No: the server works without sign-in

The largest and most comprehensive real estate and geospatial dataset in Australia - every address, street and ABS mesh block in the country.

Where most property data stops at the suburb, this goes below it:

Crime at mesh-block level, not suburb averages
Street-level price forecasts and per-street bedroom series
2026 Census demographics - income, tenure, ancestry, cohorts
Risk — flood, bushfire, landslide, heritage, power lines, noise
Development — applications, zoning, building controls, supply pipeline
Schools with catchments and rankings; transport and amenity access
Sales and rent history, comparable sales, land values and AVM valuations

174 tools across properties, streets, suburbs, LGAs, SA4s and mesh blocks.

Free sandbox, no signup. Send Bearer test and query nine sample suburbs, one per state and territory. Mint a key for national coverage.

Server tool list (60)

Raw names from tools/list. Only developers need these.

ping	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 usage.
ping_head	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 usage.
me	Return key identity and the authoritative Autumn credit balance.
properties_valuation_avm	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.
properties_basics_bed_count	Bedroom count from the latest matching listing. Price: 5¢ per call.
properties_basics_bath_count	Bathroom count from the latest matching listing. Price: 5¢ per call.
properties_basics_parking_count	Parking-space count from the latest matching listing. Price: 5¢ per call.
properties_basics_dwelling_type	Dwelling type (house, unit, townhouse, ...). Price: 5¢ per call.
properties_basics_land_area_sqm	Parcel land area in square metres from the cadastral feed. Price: 3¢ per call.
properties_profile	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), postcode). Call this once to get every ABS key the rest of the data layers index on. Price: 3¢ per call.
properties_sale_history	All Sold + For Sale records, most-recent first. Price: 30¢ per call.
properties_sale_history_latest	Most-recent Sold or For Sale record. Price: 10¢ per call.
properties_rent_history	All For Rent records, most-recent first. Price: 30¢ per call.
properties_rent_history_latest	Most-recent For Rent record. Price: 10¢ per call.
properties_neighbours	Adjoining-parcel neighbours, enriched with address + property type + bed/bath/garage from the latest matching listing. Price: 30¢ per call.
properties_comparables_cma_comp_set	Top comparable sales used to triangulate the subject property's value. Price: 60¢ per call.
properties_comparables_cma_single_comp	Single best comparable from the CMA set (highest dist_score). Price: 10¢ per call.
properties_comparables_recent_sales_nearby	Recent comparable sales in a small radius around the subject parcel. Price: 4¢ per call.
properties_development_zoning_code	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.
properties_development_zoning_overlays	Development overlays intersecting the property's parcel. Price: 5¢ per call.
properties_schools_nearby	Schools within ~5km of the property, with rank + student counts. Price: 5¢ per call.
properties_schools_ranking	Schools within ~5km of the property, ranked by NAPLAN / socioeconomic score. Price: 100¢ per call.
properties_amenities_nearby	Curated amenities (supermarkets, green spaces, restaurants/cafes) within `radius_m` of the property, bucketed and nearest-first. Price: 10¢ per call.
properties_transport_nearby	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.
properties_risks_bushfire	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.
properties_risks_flood	Modelled flood overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property floods". Price: 10¢ per call.
properties_risks_historical_flood	Recorded historical flood extents within 1 km. Read `on_property` — a returned row means "found nearby", not "this property flooded". Price: 3¢ per call.
properties_risks_heritage	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.
properties_risks_public_housing	Public-housing concentration overlay near the parcel. Price: 4¢ per call.
properties_risks_landslide	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.
properties_risks_erosion	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.
properties_risks_environment	Environmental-risk overlay (contamination, salinity, ...). Price: 3¢ per call.
properties_risks_hv_power_line	High-voltage power-line easement near the parcel. Price: 2¢ per call.
properties_risks_mobile_black_spot	Mobile-coverage black-spot overlay near the parcel. Price: 2¢ per call.
properties_risks_all	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 polygon overlay also carries its 1km-radius-clipped `geojson` FeatureCollection + `geojson_meta`. Price: 48¢ per call.
properties_valuation_all	Price: 10¢ per call.
properties_basics_all	Price: 23¢ per call.
properties_history_all	Price: 80¢ per call.
properties_comparables_all	Price: 74¢ per call.
properties_development_all	Price: 8¢ per call.
properties_schools_all	Price: 105¢ per call.
suburbs_profile	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).
suburbs_list	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 alphabetically (browser-renderable preview). Pass any of the filters to narrow: state / lga / sa4 / sa3 / postcode / q (name search). Filters combine (AND). Flat cost regardless of how many rows come back. Name search (`q`) is typo-tolerant. It tries an exact match, then substring, then a fuzzy near-miss, and returns `match` (`exact` / `contains` / `fuzzy`) and `score` on every row so you can see which happened. Always tell the user which suburb you resolved to, and its state, before quoting numbers for it. A fuzzy match is a suggestion, not a confirmation — `rokeby` is one letter from Kokeby in Western Australia and Rokeby exists in both Tasmania and Victoria. If more than one candidate is plausible, ask rather than pick. When `q` is combined with `state`, the state is a preference, not a filter: in-state candidates rank first, but a suburb of that name in another state is still returned rather than hidden, so a near-miss becomes "Seaview is in Victoria, not Tasmania" instead of "no data". Every other filter stays a strict AND. Price: 3¢ per call.
suburbs_market_median_sale_price	Latest median sale price for the suburb.
suburbs_market_median_sale_price_series	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 needed to calculate a stated 20-year return, not a precomputed "consistent growth" score or a forecast.
suburbs_market_median_rent	Latest median weekly rent for the suburb.
suburbs_market_median_rent_series	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 observations can be weekly; this is not a uniformly quarterly series. Values are advertised median AUD per week.
suburbs_market_price_growth_5y	5-year compound sale-price growth (decimal).
suburbs_market_price_growth	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.
suburbs_market_yield_pct	Gross rental yield = median rent annualised / median sale price.
suburbs_market_days_on_market	Median days on market for current listings.
suburbs_market_transaction_volume	Recent sale-transaction count for the suburb.
suburbs_forecast_sale	1-year sale-price growth forecast (low / most-likely / high).
suburbs_listings_for_sale	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 count is accurate even when the rows are capped. Raise `limit` for more listings; set `verbose=true` for the agent's full description text.
suburbs_demographics_age	Population by age bracket and gender.
suburbs_demographics_income	Household income breakdown by bracket.
suburbs_ethnicity_ancestry	Ancestry breakdown from the ABS census.
suburbs_ethnicity_birthplace	Country-of-birth breakdown from the ABS census.
suburbs_schools_catchment	Public-school catchment polygons covering the suburb.
suburbs_schools_nearby	Schools serving / near the suburb, with rank + attendance data.