The official DimensionsPot Postman collection includes pre-built requests for every endpoint, covering the main use cases out of the box.
Download
Download DimensionsPot v1.4.0 Postman Collection
Import the .json file directly into Postman via File → Import.
What’s Included
The collection covers all endpoints and the most common request patterns:
| # | Scenario | Endpoint |
|---|---|---|
| 1 | Strong anchors — height + weight | POST /v1/predict |
| 2 | Rich anchors — height + weight + ≥1 circumference | POST /v1/predict |
| 3 | Single anchor — one secondary anchor only | POST /v1/predict |
| 4 | Targeted dimensions — selected dimensions only | POST /v1/predict |
| 5 | Bundle filter — dimensions from selected bundle only | POST /v1/predict |
| 6 | Regional calibration — output normalised to selected region | POST /v1/predict |
| 7 | Body build type — output morphed to selected body type | POST /v1/predict |
| 8 | Pediatric model — LMS + Ridge hybrid | POST /v1/predict |
| 9 | Health check | GET /health |
| 10 | Capability discovery | GET /v1/info |
| 11 | Example payloads | GET /v1/predict/examples |
Setup
- Import the collection file into Postman.
- Open the collection and go to the Variables tab.
- Set
RAPIDAPI_KEYto your key from the RapidAPI dashboard. - All requests use this variable automatically — no further setup required.
Authentication
Every request sends two headers automatically from the collection variables:
X-RapidAPI-Key: {{RAPIDAPI_KEY}}
X-RapidAPI-Host: dimensionspot-bodysize-engine.p.rapidapi.com
Key Notes
Body height is in millimetres — The most common mistake is sending height in centimetres. The API expects body_height in mm (e.g., 1780 for 178 cm). The collection uses correct values; keep this in mind when editing payloads.
Imperial inputs — To send measurements in inches and lbs, set "input_unit_system": "imperial". Conversion to metric is applied before validation.
Regional parameters — input_origin_region (your customer’s population) and target_region (your size chart’s population) are independent. Setting both enables cross-regional calibration in a single call.
Confidence threshold — The collection uses "confidence_score_threshold": 0 by default (returns all dimensions). For production, use 75 for apparel, 70 for rental and PPE.