Databiter

We bite into raw Swiss address data and return enriched, actionable insights instantly.

See Pricing

Why Databiter?

Databiter is the first Swiss-focused address enrichment API offering structured, data-driven intelligence for marketing, real estate, logistics, insurance, and analytics teams. Unlike mapping tools, Databiter returns enriched JSON analytics at the address level, backed by BFS, OSM, ML models, and (later) satellite-driven signals.

Core Value Proposition

Try API Example

Feature Catalog

Base Address Data

Normalized address, postcode, canton, municipality, building category.

CHF 0.01 / feature

Derived Scores

Affluence score, delivery potential, urbanity score, family score.

CHF 0.05 / feature

Building Insights

Household estimates, building type refinement, age class, density stats.

CHF 0.04 / feature

Premium Predictive Features

Estimated car value, car ownership proxies, socioeconomic segment.

CHF 0.15 / feature

Future: Satellite Insights

NDVI, mood index, car density, construction activity.

CHF 0.10 / feature

Pricing (Usage-Based)

Each API call is billed based on the features you request. No monthly lock-in, no bundling required.

Category Description Price per Feature
Base Data BFS address, building, postcode metadata CHF 0.01
Derived Analytics Affluence, delivery potential, family score CHF 0.05
Premium Predictive Car value, socioeconomic segment, ML-based outputs CHF 0.15
Satellite Add-ons NDVI, mood index, car-density from imagery CHF 0.10

API Example

Request only the features you need. Pay only for what you use.

POST /enrich
{
  "address": "Bahnhofstrasse 10, Zürich",
  "features": [
    "base_address",
    "building_type",
    "affluence_score",
    "delivery_potential",
    "car_value_estimate"
  ]
}

Response:
{
  "address": {
    "street": "Bahnhofstrasse 10",
    "postcode": "8001",
    "city": "Zürich",
    "canton": "ZH"
  },
  "enriched": {
    "building_type": "mixed",
    "affluence_score": 82,
    "delivery_potential": 91,
    "car_value_estimate": 45000
  },
  "cost": 0.22
}