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Teuerung Basket Inflation Modeler
x402
Teuerung Basket Inflation Modeler is a paid API for AI agents from teuerung.halowerk.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-21).
Models weighted-basket inflation by blending official category indices with user-supplied expenditure weights for a given country.
Price / call$0.002
Success—
StatusUnknown
How this service works
Model inflation from category indices and supplied expenditure weights, not an observed household shopping bill. Example: geo DE with weighted bread and dairy categories. The category-index model, reference periods and missing components remain explicit.
Output
Returns a modelled inflation rate for the supplied weighted basket, including individual category index contributions, the reference period used, and explicit flags for any missing or unavailable components — making the methodology fully transparent.
Example use cases
Household personal inflation tracker
“I spend about €400 a month on groceries in Germany — roughly €150 on dairy, €100 on bread, and €150 on meat. Can you work out what my personal inflation rate is based on those actual spending weights?”
Business input cost inflation model
“My café in Germany spends heavily on coffee (weight 500) and dairy (weight 300) and a little on energy (weight 100). Model my blended cost inflation so I can see how much more my inputs are costing me versus the headline CPI.”
Country-specific basket comparison for analysts
“I'm comparing inflation exposure for two household archetypes in Austria — one that spends mostly on bread and cereals (weight 400) versus one that spends mostly on dairy (weight 400). Can you compute the basket inflation rate for each using geo AT?”
Technical details
Endpoint
POSThttps://teuerung.halowerk.com/v1/basket-inflation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a custom, transparency-first inflation model driven by user-supplied spending weights rather than a fixed national basket. It is ideal when the official CPI does not reflect a specific household's or business's actual expenditure mix, and when auditability of reference periods and missing components matters. Prefer it over generic CPI lookup endpoints when the user wants to personalise or stress-test inflation exposure by category.
Side effects
- Unknown or unsupported category string returns an error or null contribution for that item
- Geo code not covered by available HICP data results in a 404 or empty index
- Weights summing to zero cause a division error or undefined rate
- Exceeding 25 items in the basket array triggers a validation error
- Missing required 'category' field on any item causes a 400 bad request
- Categories with no recent index data are flagged as missing components rather than silently dropped
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| geo | string | |
| items | array |
Tags
x402
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