DimensionsPot - BodySize Engine: Quick Start

DATA DICTIONARY: All 130 dimensions with API Keys → view

DimensionsPot transforms one or more body measurements into a complete anthropometric profile of 130 ISO-compliant body dimensions, each accompanied by a Confidence Score and a 95% prediction interval.

Supply as little as a single anchor — height, foot length, wrist circumference, or any other recognized measurement — and the engine reconstructs the full body profile in under 50 ms (typically under 10 ms on a warmed instance). Every dimension includes a calibrated Confidence Score that is empirically guaranteed never to over-promise: actual prediction accuracy is always ≥ the reported score.

Two prediction engines, one endpoint:

Engine	Method	Training data	Age range
ADULT	Ridge Regression + 4-layer Modifier Pipeline	ANSUR II (n = 6,068)	> 20 y
PEDIATRIC	LMS Box-Cox (CDC) + Ridge hybrid	CDC Growth Charts 2000 (218 age points)	0–20 y

Set calculation_model to "AUTO" (the default) and routing happens automatically based on age.

Authentication

Subscribe on RapidAPI and copy your key from the dashboard. Two headers are required on every request:

X-RapidAPI-Key: YOUR_KEY
X-RapidAPI-Host: dimensionspot-bodysize-engine.p.rapidapi.com

The Request

Your First Request

A complete, copy-paste-ready request. All fields are shown with explicit values; defaults are noted in the Reference section below.

curl -X POST "https://dimensionspot-bodysize-engine.p.rapidapi.com/v1/predict" \
  -H "Content-Type: application/json" \
  -H "X-RapidAPI-Key: YOUR_KEY" \
  -H "X-RapidAPI-Host: dimensionspot-bodysize-engine.p.rapidapi.com" \
  -d '{
    "input_data": {
      "input_unit_system": "metric",
      "subject": {
        "gender": "male",
        "exact_age": 35.0,
        "age_category": "ADULT",
        "input_origin_region": "EUROPE"
      },
      "anchors": {
        "body_height": 1780,
        "body_mass": 82.0
      }
    },
    "output_settings": {
      "calculation": {
        "calculation_model": "AUTO",
        "target_region": "EUROPE",
        "body_build_type": "CIVILIAN"
      },
      "requested_dimensions": {
        "bundle": "FULL_BODY",
        "specific_dimensions": null
      },
      "output_format": {
        "unit_system": "metric",
        "confidence_score_threshold": 0,
        "include_range_95": true,
        "include_iso_codes": true
      }
    }
  }'

Same request in Python:

import requests

payload = {
    "input_data": {
        "input_unit_system": "metric",
        "subject": {
            "gender": "male",
            "exact_age": 35.0,
            "age_category": "ADULT",
            "input_origin_region": "EUROPE"
        },
        "anchors": {
            "body_height": 1780,
            "body_mass": 82.0
        }
    },
    "output_settings": {
        "calculation": {
            "calculation_model": "AUTO",
            "target_region": "EUROPE",
            "body_build_type": "CIVILIAN"
        },
        "requested_dimensions": {"bundle": "FULL_BODY"},
        "output_format": {
            "unit_system": "metric",
            "confidence_score_threshold": 0,
            "include_range_95": True,
            "include_iso_codes": True
        }
    }
}

response = requests.post(
    "https://dimensionspot-bodysize-engine.p.rapidapi.com/v1/predict",
    json=payload,
    headers={
        "X-RapidAPI-Key": "YOUR_KEY",
        "X-RapidAPI-Host": "dimensionspot-bodysize-engine.p.rapidapi.com"
    }
)
dimensions = response.json()["body_dimensions"]

Request Field Reference

input_data

Field	Required	Default	Allowed values	Description
`input_unit_system`	no	`"metric"`	`"metric"` · `"imperial"`	Unit of the anchor values you supply. Metric: lengths in mm, mass in kg. Imperial: lengths in inches, mass in lbs. Converted to metric before validation.
`gender`	yes	—	`"male"` · `"female"`	Subject biological sex.
`exact_age`	no	`null`	float, 0–120	Subject age in years. Improves body-composition modifier accuracy. Authoritative engine-routing signal — overrides `age_category` on conflict.
`age_category`	no	`"ADULT"`	`"ADULT"` · `"INFANT"` · `"TODDLER"` · `"CHILD"` · `"PRE_TEEN"` · `"TEEN"`	Broad age class. Determines engine when `exact_age` is absent. Any pediatric value forces the Pediatric engine.
`input_origin_region`	no	`"GLOBAL"`	see Regions	Population the input measurements come from. Normalizes anchors to the ANSUR II global baseline before prediction.
`anchors`	yes (ADULT) · no (PEDIATRIC)	`{}`	any body measurement key	The measurements you supply. Adult engine requires at least one. Pediatric engine can operate with none. Values in mm (lengths) or kg (body_mass).

output_settings.calculation

Field	Required	Default	Allowed values	Description
`calculation_model`	no	`"AUTO"`	`"AUTO"` · `"ADULT"` · `"PEDIATRIC"`	Engine hint. `AUTO` routes by `exact_age` if provided, else by `age_category`. `exact_age` and `age_category` are always the authoritative routing signals regardless of this field.
`target_region`	no	`"GLOBAL"`	see Regions	Population to calibrate output toward. Independent of `input_origin_region` — you can normalize Asian-origin measurements to European-proportion output.
`body_build_type`	no	`"CIVILIAN"`	`"CIVILIAN"` · `"ATHLETIC"` · `"OVERWEIGHT"`	Morphological modifier applied to soft-tissue dimensions. `CIVILIAN` = general population. `ATHLETIC` = military/sports lean baseline. `OVERWEIGHT` = BMI-adjusted NHANES morphing for higher body-fat distribution.

output_settings.requested_dimensions

Field	Required	Default	Allowed values	Description
`bundle`	no	`"FULL_BODY"`	`"FULL_BODY"` · `"HEAD_FACE"` · `"HAND_ARM"` · `"TORSO"` · `"LEGS_FEET"`	Filter output to a body region. See Bundles.
`specific_dimensions`	no	`null`	list of API keys	Request individual dimensions by API key. Combines with `bundle` as a union: all bundle keys + all individually requested keys are returned. Set to `null` or omit to disable.

output_settings.output_format

Field	Required	Default	Allowed values	Description
`unit_system`	no	`"metric"`	`"metric"` · `"imperial"`	Output unit. Independent of `input_unit_system`. Metric: mm/kg. Imperial: inches/lbs.
`confidence_score_threshold`	no	`0`	integer 0–100	Suppress dimensions below this Confidence Score. `0` returns all dimensions.
`include_range_95`	no	`true`	bool	Include the `[lower, upper]` 95% prediction interval per dimension.
`include_iso_codes`	no	`true`	bool	Include the ISO 7250-1:2017 code per dimension (`null` for non-standardized dimensions).

Regions

The same 7 codes apply to both input_origin_region and target_region.

Code	Population source	Coverage note
`GLOBAL`	ANSUR II (US Military baseline)	Full — both genders
`EUROPE`	Aggregated European datasets	Full — both genders
`ASIA_PACIFIC`	East Asian & Pacific datasets	Full — both genders
`LATAM`	Latin American datasets	Full — both genders
`INDIA`	South Asian regional data	Female falls back to ASIA_PACIFIC — noted in `meta_warnings`
`AFRICA`	Sub-Saharan and regional proxy data	Male-only, −10 % confidence penalty — noted in `meta_warnings`
`MIDDLE_EAST`	Middle Eastern regional data	Validated for males 18–30 only — no runtime `meta_warnings` emitted

Bundles

Bundle	Dimensions	Scope
`FULL_BODY`	130	All available dimensions
`HEAD_FACE`	20	Head, face, interpupillary distance, neck, bridge width
`HAND_ARM`	32	Fingers, hand, wrist, forearm, arm, reach
`TORSO`	29	Chest, waist, hip, shoulder breadths, sitting heights
`LEGS_FEET`	34	Thigh, knee, calf, ankle, foot

Some dimensions appear in more than one named bundle (e.g., neck_circumference in both HEAD_FACE and TORSO; knee_height, popliteal_height, trochanterion_height in both TORSO and LEGS_FEET). 19 dimensions are FULL_BODY-only and do not belong to any named bundle.

For a complete list of all 130 dimension keys with anatomical descriptions, ISO codes, and bundle membership, see the Data Dictionary →.

Combining bundle and specific_dimensions:

When both are provided, their results are unioned — not intersected:

"requested_dimensions": {
  "bundle": "HAND_ARM",
  "specific_dimensions": ["shoulder_height", "waist_circumference_natural"]
}

This returns all 32 HAND_ARM dimensions plus shoulder_height and waist_circumference_natural. Useful when you need a region-focused bundle with a few extra dimensions from another region.

Engine Routing

IF exact_age is provided:
    exact_age ≤ 20 y  →  PEDIATRIC engine
    exact_age > 20 y  →  ADULT engine
    If exact_age and age_category disagree → warning in meta_warnings; exact_age wins

IF exact_age is absent:
    age_category ∈ {INFANT, TODDLER, CHILD, PRE_TEEN, TEEN}  →  PEDIATRIC engine
    age_category = ADULT  →  ADULT engine
    Warning in meta_warnings stating the assumed age used by body-composition modifiers

exact_age is always authoritative. When only age_category is available, the engine uses the category median as the assumed age for body-composition calculations (not for CDC growth tables). Providing exact_age eliminates this uncertainty entirely.

Anchor Mechanics and Imputation

Any recognized body measurement key is a valid anchor. The adult engine requires at least one anchor and accepts any number — accuracy improves with each additional anchor and plateaus after the PRIMARY_RICH tier (height + mass + one precision circumference).

Anchor sanity bounds — values outside these ranges produce a 422 error:

Anchor	Min	Max	Unit
`body_height`	400	3000	mm
`body_mass`	2	400	kg
`foot_length`	80	420	mm
`hand_length`	60	330	mm
`chest_circumference`	350	1800	mm
`knee_height`	150	700	mm
`sitting_height`	400	1300	mm
`span`	500	2900	mm
`trochanterion_height`	200	1200	mm
`hip_circumference`	300	2000	mm
`waist_circumference_omphalion`	300	2000	mm
`neck_circumference`	150	700	mm
`wrist_circumference`	80	400	mm
`head_circumference`	280	720	mm
all other keys	5	3000	mm

All lengths and circumferences must be in mm. body_mass in kg. If you supply imperial values, set input_unit_system: "imperial" and conversion is applied before validation.

Dynamic Imputation: When body_height or body_mass are absent, the imputer reconstructs them from whatever anchor you supply using a dedicated Ridge model trained on ANSUR II. The imputed values appear in the response header as calculated_anchors, and a confidence penalty proportional to imputation uncertainty (up to −10 points) is applied to all output scores.

"anchors": { "foot_length": 275 }

The imputer infers body_height and body_mass, runs the full 130-dimension pipeline, and reports "anchors_calculated": true in the response header.

Imperial Input

Set input_unit_system: "imperial" when your anchor values are in inches and lbs:

curl -X POST "https://dimensionspot-bodysize-engine.p.rapidapi.com/v1/predict" \
  -H "Content-Type: application/json" \
  -H "X-RapidAPI-Key: YOUR_KEY" \
  -H "X-RapidAPI-Host: dimensionspot-bodysize-engine.p.rapidapi.com" \
  -d '{
    "input_data": {
      "input_unit_system": "imperial",
      "subject": {
        "gender": "female",
        "exact_age": 28.0,
        "age_category": "ADULT",
        "input_origin_region": "GLOBAL"
      },
      "anchors": {
        "body_height": 64.0,
        "body_mass": 130.0
      }
    },
    "output_settings": {
      "output_format": {
        "unit_system": "imperial"
      }
    }
  }'

Conversion applied automatically before validation:

body_mass: lbs ÷ 2.20462 → kg
all lengths and circumferences: inches × 25.4 → mm

output_format.unit_system controls the output units and is independent of the input conversion.

Minimum Valid Request

For adult subjects, gender plus one anchor is the minimum. All output_settings fields have defaults and can be omitted.

{
  "input_data": {
    "subject": { "gender": "male" },
    "anchors": { "body_height": 1780 }
  }
}

This returns all 130 FULL_BODY dimensions in metric with 95% intervals and ISO codes.

Pediatric Requests

Activate the pediatric engine with a pediatric age_category or an exact_age ≤ 20.

{
  "input_data": {
    "subject": {
      "gender": "female",
      "exact_age": 7.0,
      "age_category": "CHILD",
      "input_origin_region": "GLOBAL"
    },
    "anchors": {}
  },
  "output_settings": {
    "calculation": {
      "calculation_model": "AUTO",
      "target_region": "GLOBAL",
      "body_build_type": "CIVILIAN"
    },
    "requested_dimensions": { "bundle": "HEAD_FACE" },
    "output_format": {
      "unit_system": "metric",
      "confidence_score_threshold": 0,
      "include_range_95": true,
      "include_iso_codes": false
    }
  }
}

Important: In the pediatric engine, body_height and body_mass are outputs, not inputs. The CDC LMS method predicts them from age and sex, then uses them as a scaling base for the full 130-dimension skeleton via the adult Ridge model. If you supply body_height or body_mass as anchors, they take precedence over the CDC-predicted values.

Pediatric age categories:

`age_category`	Typical range	Assumed age (when `exact_age` absent)	Engine
`INFANT`	0–2 y	1.0 y	LMS + Ridge hybrid
`TODDLER`	2–4 y	3.0 y	LMS + Ridge hybrid
`CHILD`	4–9 y	6.5 y	LMS + Ridge hybrid
`PRE_TEEN`	9–12 y	10.5 y	LMS + Ridge hybrid
`TEEN`	12–18 y	15.0 y	LMS + Ridge hybrid
`ADULT`	18 +	population mean (35 y)	Ridge Regression

exact_age is strongly recommended for pediatric subjects — growth rates are high and the assumed category median may not represent the subject well.

Known pediatric limitations:

Confidence scores for all Ridge-derived dimensions are capped at 80 (LMS-derived dimensions — body_height, body_mass, head_circumference — keep their own scores).
head_circumference: CDC data covers ages 0–36 months. Older ages are clamped to the nearest available value.

The Response

Response Anatomy

{
  "header": {
    "status": "success",
    "calculation_model_used": "ADULT",
    "anchors_calculated": false,
    "calculated_anchors": {},
    "modifiers_applied": [
      "Regional Calibration (EUROPE)",
      "Civilian Body Composition (BF%=22.9%, delta=0.3%, body_type=CIVILIAN)"
    ],
    "meta_warnings": []
  },
  "body_dimensions": {
    "shoulder_height": {
      "label": "Shoulder Height",
      "description": "Vertical distance from the floor to the acromion landmark. Used in workstation design, doorway clearance, and reach-zone ergonomics.",
      "value": 1426.89,
      "unit": "mm",
      "type": "BONE",
      "confidence_score": 85,
      "range_95": [1397.09, 1456.70],
      "iso_code": "6.1.4",
      "biological_limit_status": "OK"
    },
    "hip_circumference": {
      "label": "Hip Circumference",
      "description": "Maximum horizontal circumference around the buttocks. Primary sizing dimension for trousers, skirts, and fitted garments.",
      "value": 1003.41,
      "unit": "mm",
      "type": "FLESH",
      "confidence_score": 78,
      "range_95": [921.14, 1085.68],
      "iso_code": null,
      "biological_limit_status": "OK"
    }
  },
  "system_info": {
    "api_version": "v1",
    "model_version": "adult_ridge_v4.0",
    "computation_time_ms": 18
  }
}

The body_dimensions object contains up to 130 entries for a FULL_BODY request.

About MEASURED type: body_height and body_mass are input features for the adult Ridge model and do not appear as entries in body_dimensions. However, any anchor that is also a prediction target — such as wrist_circumference, hip_circumference, or foot_length — will appear with "type": "MEASURED", confidence_score: 100, and its value set exactly to what you provided. The range_95 for such entries reflects the model's own prediction interval, which can serve as a plausibility check on the supplied measurement.

`header` Field Reference

Field	Type	Description
`status`	string	`"success"` — at least one dimension returned. `"partial_success"` — all dimensions were filtered out (e.g., `confidence_score_threshold` set too high, or engine produced no output).
`calculation_model_used`	string	`"ADULT"` or `"PEDIATRIC"` — the engine that handled the request.
`anchors_calculated`	bool	`true` if any anchor (`body_height` or `body_mass`) was imputed from secondary measurements.
`calculated_anchors`	object	Key/value pairs of imputed anchor keys and their inferred values (always in metric units, regardless of `output_format.unit_system`). Empty when `anchors_calculated` is `false`.
`modifiers_applied`	list	Post-prediction pipeline steps applied — regional calibration, body-composition morphing, anatomical enrichment.
`meta_warnings`	list	Non-fatal informational notices. See triggers below.

meta_warnings are generated when:

exact_age absent — the assumed age used by body-composition modifiers is stated explicitly.
Age conflict — exact_age and age_category disagree on engine selection; the winning signal and overridden value are named.
Regional data limitation — partial coverage for AFRICA or INDIA; a confidence penalty is applied and the penalty amount is described. (MIDDLE_EAST has a documented static limitation but does not emit a runtime warning.)
Data quality flag — pipeline-detected anomaly (e.g., BMI outside a plausible range for the supplied height/mass combination).

`body_dimensions` Entry Field Reference

Field	Type	Description
`label`	string	Human-readable dimension name (e.g., `"Shoulder Height"`).
`description`	string	Anatomical definition of the landmark, with commercial application context. `null` if no description entry exists.
`value`	float	Predicted value in the requested output unit.
`unit`	string	`"mm"` or `"inch"` for lengths/circumferences; `"kg"` or `"lb"` for `body_mass`.
`type`	string	Measurement provenance — see type values below.
`confidence_score`	integer	Heuristic reliability index [0–100] — see Confidence Score section.
`range_95`	list or null	`[lower, upper]` 95% prediction interval in output units. `null` when `include_range_95: false`.
`iso_code`	string or null	ISO 7250-1:2017 section code. `null` for non-standardized dimensions, or when `include_iso_codes: false`.
`biological_limit_status`	string	NASA-STD-3001 / CDC bounds check — see status values below.

type values:

Value	Meaning
`BONE`	Skeletal/structural dimension. Higher inherent accuracy; less sensitive to body-composition variation.
`FLESH`	Soft-tissue dimension (circumferences, depths). Lower inherent accuracy; varies with body fat and musculature.
`MEASURED`	Value was supplied by the caller as an anchor. Returned exactly as provided; `confidence_score` is always 100. Never overwritten by the model.

biological_limit_status values:

Value	Meaning
`OK`	Within the valid population range.
`OUT_OF_BOUNDS`	Outside the valid range — either below the minimum or above the maximum. For adults: NASA-STD-3001 absolute limits. For pediatric subjects: age-banded CDC P1/P99 limits.

OUT_OF_BOUNDS does not suppress a dimension from the output — it is an informational flag. It typically appears when input anchors describe an extreme body type, or when an anchor combination is biomechanically unusual (e.g., very large wrist circumference with average height).

Confidence Score

confidence_score is an empirically calibrated, anchor-tier-based reliability index. It is deterministic: given the same set of anchor keys (not values) and tissue type, the score is always the same. It is never over-reported — the gap between stated and actual prediction accuracy is always ≥ 0.

Tier classification is determined from the raw anchor keys you provide, before any imputation occurs:

Tier	Anchor condition	BONE score	FLESH score
PRIMARY_RICH	`body_height` + `body_mass` + ≥ 1 precision anchor	87	80
PRIMARY_BOTH	`body_height` + `body_mass`	85	78
PRIMARY_ONE	`body_height` or `body_mass` (not both)	79	62
SECONDARY	one strong secondary anchor (no primary)	74	67
TERTIARY	any other single anchor	69	62

Precision anchors (any one of these combined with body_height + body_mass elevates the tier from PRIMARY_BOTH → PRIMARY_RICH):

hip_circumference  ·  waist_circumference_omphalion  ·  chest_circumference
neck_circumference  ·  wrist_circumference

Secondary anchors (classify as SECONDARY tier when used alone without primary anchors):

foot_length  ·  hand_length  ·  chest_circumference  ·  knee_height
sitting_height  ·  span  ·  trochanterion_height  ·  hip_circumference
waist_circumference_omphalion  ·  neck_circumference  ·  wrist_circumference

Why PRIMARY_ONE FLESH = 62 (not the expected ~75): When only one primary anchor is available — height without weight, or weight without height — circumference predictions are particularly uncertain because body composition (the main driver of soft-tissue dimensions) cannot be inferred without both anchors. The score is conservatively set to 62, reflecting the empirically measured 95-PI coverage floor of 66.1% for this scenario.

Imputation penalty: When missing anchors are imputed, scores decrease by up to 10 additional points proportional to imputation uncertainty. The imputed values and their confidence penalty are reported in the response header (calculated_anchors).

Pediatric engine: All Ridge-derived dimensions are capped at 80 when the pediatric hybrid engine is active. LMS-derived dimensions (body_height, body_mass, head_circumference) retain their own score of 99 (exact tabular norm, not a regression estimate).

Guarantee: confidence_score is a proprietary heuristic reliability index, not a frequentist probability. For every dimension at every tier, actual 95-PI coverage on held-out ANSUR II data is ≥ the reported score. The stated floor for PRIMARY_RICH BONE is 87%, for PRIMARY_RICH FLESH is 80% — both validated against n=300 precision validation runs.

`system_info` Field Reference

Field	Description
`api_version`	API version prefix (`"v1"`).
`model_version`	Model identifier: `"adult_ridge_v4.0"` (ADULT engine) or `"v1.3_lms_cdc_age_banded"` (PEDIATRIC engine).
`computation_time_ms`	Total server-side processing time in milliseconds.

Error Reference

HTTP	Trigger	Response body
`422`	Validation error — invalid enum value, negative anchor, out-of-range age, missing required field, anchor outside sanity bounds, adult engine called with empty anchors.	Standard FastAPI `detail` array with `loc`, `msg`, and `input`.
`403`	Request reached the backend directly, bypassing the RapidAPI gateway.	`{"error": "forbidden", "message": "..."}`
`500`	Internal engine error.	`{"error": "internal_server_error", "message": "..."}`

Common 422 payloads:

// Invalid region  (field_validator → "Value error, " prefix)
{ "msg": "Value error, Invalid input_origin_region 'ANTARKTIDA'." }

// Anchor in cm instead of mm  (body_height must be 400–3000 mm)
{ "msg": "Value error, 'body_height' = 178.0 mm is outside the valid range [400–3000 mm]. All lengths and circumferences must be in mm; body_mass in kg." }

// Adult engine with no anchors
{ "msg": "Value error, ADULT engine requires at least one anchor." }

// exact_age out of range  (Pydantic type constraint, no "Value error" prefix)
{ "msg": "Input should be less than or equal to 120" }

// Negative anchor value
{ "msg": "Value error, Measurement 'body_height' must be strictly positive (got -150.0)." }

The most common production error is submitting body_height in centimetres (e.g., 178.0) instead of millimetres (1780). The sanity bounds catch this immediately with a descriptive error message.

Utility Endpoints

GET /health — Liveness / readiness probe

curl https://dimensionspot-bodysize-engine.p.rapidapi.com/health \
  -H "X-RapidAPI-Key: YOUR_KEY"

Returns 200 when all critical runtime dependencies are available. Returns 503 when any are missing — container orchestrators use this to pause traffic until the instance is ready.

{
  "status": "healthy",
  "version": "1.4.0",
  "models_loaded": true,
  "data_files_ok": true,
  "uptime_seconds": 3721
}

GET /v1/info — Capability discovery

curl https://dimensionspot-bodysize-engine.p.rapidapi.com/v1/info \
  -H "X-RapidAPI-Key: YOUR_KEY"

Returns all supported enum values (regions, bundles, age categories, body build types, calculation models, unit systems), model version identifiers, biological limits metadata, and the full endpoint map. The result does not change at runtime — safe to cache in your client. Use it for programmatic enum validation instead of hardcoding allowed values.

GET /v1/predict/examples — Pre-built request payloads

curl https://dimensionspot-bodysize-engine.p.rapidapi.com/v1/predict/examples \
  -H "X-RapidAPI-Key: YOUR_KEY"

Returns 8 ready-to-use request payloads covering the main use cases:

#	Scenario
1	Strong anchors — height + weight
2	Rich anchors — height + weight + ≥1 circumference
3	Single anchor — one secondary anchor only
4	Targeted dimensions — returns selected dimensions only
5	Bundle filter — returns dimensions from selected bundle only
6	Regional calibration — output normalised to selected region
7	Body build type — output morphed to selected body type
8	Pediatric model — applies LMS + Ridge hybrid

Copy any payload field directly into POST /v1/predict.

Disclaimer And Limitation Of Liability

All outputs of the DimensionsPot API ("Outputs") are statistically derived anthropometric predictions intended to support — not replace — professional judgment. They do not constitute medical, clinical, ergonomic, or professional advice, and must not be used as the sole basis for health decisions, product design, manufacturing tolerances, safety assessments, regulatory submissions, or contractual specifications. The Confidence Score is a proprietary heuristic index — not a statistical confidence interval.

To the fullest extent permitted by applicable law, DimensionsPot and its operators disclaim all liability for any direct, indirect, incidental, consequential, or punitive damages — including bodily injury, property damage, financial loss, business interruption, or contractual liability — arising from reliance on Outputs.

This disclaimer does not exclude liability where prohibited by mandatory applicable law.

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DimensionsPot - BodySize Engine: Quick Start

Authentication

The Request

Your First Request

Request Field Reference

Regions

Bundles

Engine Routing

Anchor Mechanics and Imputation

Imperial Input

Minimum Valid Request

Pediatric Requests

The Response

Response Anatomy

`header` Field Reference

`body_dimensions` Entry Field Reference

Confidence Score

`system_info` Field Reference

Error Reference

Utility Endpoints

Disclaimer And Limitation Of Liability

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DimensionsPot - BodySize Engine: Quick Start

Authentication

The Request

Your First Request

Request Field Reference

Regions

Bundles

Engine Routing

Anchor Mechanics and Imputation

Imperial Input

Minimum Valid Request

Pediatric Requests

The Response

Response Anatomy

header Field Reference

body_dimensions Entry Field Reference

Confidence Score

system_info Field Reference

Error Reference

Utility Endpoints

Disclaimer And Limitation Of Liability

`header` Field Reference

`body_dimensions` Entry Field Reference

`system_info` Field Reference