Factline · factline.dev
Use when the user asks about a specific Dutch home or address before…
Use when the user asks about a specific Dutch home or address before renting, buying or moving: full English report with year built, floor area, energy label, crime vs national rate, noise, air quality (NO2, PM2.5), ground height, monuments, permits, schools, 18 amenity distances, neighbourhood income and home values. Input: postcode + house number. Sources: Kadaster, CBS, Politie, RIVM, RVO.
Input
Sample response
Published by the provider. Your run returns a fresh response.
response8 keys
address6 keys
city"Utrecht"
label"Visschersplein 1, 3511LX Utrecht"
lat52.0896
lon5.1191
neighbourhood{ code, name }2 keys
postcode"3511LX"
building5 keys
age_years766
unit{ floor_area_m2, status, use }3 keys
units_in_building7
uses_in_building[…]3 items
year_built1260
elevation2 keys
below_sea_levelfalse
ground_level_m_nap5.68
environment2 keys
air_ug_m3{ no2, pm25, year }3 keys
noise_lden_db{ all_sources, level, road, … }4 keys
heritage2 keys
listed_monuments_within_25m[…]1 item
protected_areas[…]1 item
liveability3 keys
dimension_percentiles{ amenities, housing_stock, nuisance_and_safety, … }5 keys
percentile89
year2024
neighbourhood3 keys
distance_km{ data_year, gp_practice, supermarket, … }4 keys
housing{ avg_home_value_eur, data_year, owner_occupied_pct }3 keys
people{ data_year, households, residents }3 keys
safety3 keys
national_per_1000_residents{ total }1 key
per_1000_residents{ total }1 key
year2025
responseobject, 8 keysYour agent can do this on its own
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MCP URL
https://app.aecon.ai/mcpTerminalbash
In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.
Track record
- Paid calls, last 30 days
- 9
- Buyers, last 30 days
- 2
- Last paid call
Reported by the x402 directory.