trackup food analyze

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name: trackup-food-analyze description: analyze a food image with AISpark TrackUp production APIs, using AnalyzeWholeFood for full analysis and dedicated endpoints for macros, ingredients, health insight, and keyword-based food search.

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TrackUp Food Analyze

Use this skill to analyze a food image with:

https://deepeat.ai/step.aispark.api.API/AnalyzeWholeFood

https://deepeat.ai/step.aispark.api.API/ExtractFoodMacros

https://deepeat.ai/step.aispark.api.API/AnalyzeIngredients

https://deepeat.ai/step.aispark.api.API/GetHealthInsight

https://deepeat.ai/step.aispark.api.API/SearchFood

Rules

Always use POST

Always send Content-Type: application/json

Image analysis requests must contain image_url or image_base64

If both exist, image_base64 wins

image_base64 must be raw base64 without data:image/...;base64,

For complete food image analysis, call AnalyzeWholeFood directly

Only call a specialized image-analysis API when the user explicitly asks for one specific analysis dimension

Use ExtractFoodMacros for basic macro extraction

Use AnalyzeIngredients for deep ingredient and metabolic analysis

Use GetHealthInsight for professional health insight

SearchFood request body must contain keyword

SearchFood returns at most the first 20 results

API Selection

Choose the API based on the user's intent:

1. Full food analysis: AnalyzeWholeFood 2. Basic macro extraction only: ExtractFoodMacros 3. Deep ingredient and metabolic analysis only: AnalyzeIngredients 4. Professional health insight only: GetHealthInsight 5. Keyword-based lookup without image analysis: SearchFood

Food Search

Use SearchFood when the user wants keyword-based food lookup instead of image analysis.

Request example:

curl --silent --show-error --location \
  'https://deepeat.ai/step.aispark.api.API/SearchFood' \
  --header 'Content-Type: application/json' \
  --data '{
    "keyword": "banana"
  }'

Expected response shape:

{
  "foods": [
    {
      "food_name": "Banana",
      "calories_cal": "89000",
      "weight_g": "100",
      "carbs_g": "22.8",
      "proteins_g": "1.1",
      "fats_g": "0.3",
      "display_gi": 51,
      "brand": ""
    }
  ],
  "pagination": {
    "size": 20,
    "page": 1,
    "total": 123
  }
}

Local Image Workflow

Convert local image to base64:

base64 < /absolute/path/to/image.jpg | tr -d '\n' > /tmp/food_image.b64

Build payload:

printf '{"image_base64":"' > /tmp/food_image.json
cat /tmp/food_image.b64 >> /tmp/food_image.json
printf '"}' >> /tmp/food_image.json

Call full food analysis directly:

curl --silent --show-error --location \
  'https://deepeat.ai/step.aispark.api.API/AnalyzeWholeFood' \
  --header 'Content-Type: application/json' \
  --data-binary @/tmp/food_image.json

Proxy Fix

If curl incorrectly tries a local proxy like 127.0.0.1:7890, retry with:

env -u http_proxy -u https_proxy -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY curl ...

Response Fields

AnalyzeWholeFood:

food_name

total_weight_g

total_calories_kcal

carbs_g

proteins_g

fats_g

display_gi

dietary_fiber_g

sugar_g

ingredients[]

health_score

health_profile

ExtractFoodMacros:

food_name

total_weight_g

total_calories_kcal

carbs_g

proteins_g

fats_g

AnalyzeIngredients:

display_gi

dietary_fiber_g

sugar_g

ingredients[]

GetHealthInsight:

health_score

health_profile

SearchFood:

foods[]

pagination.page

pagination.size

pagination.total

health_score meaning:

1-5 score generated by AI food evaluation

5 is the highest score

Use it to help users make nutritionally informed choices

Output Rules

Keep numeric values exactly as returned

Do not invent missing fields

For complete image analysis, use AnalyzeWholeFood as the default API

For specialized analysis, use only the dedicated API that matches the user's request

For SearchFood, return the foods in API order and do not claim more than 20 items unless the response actually contains them

Common Errors

400 invalid_request

422 food_not_recognized

422 barcode_only_result

429 rate_limit_exceeded

500 internal_error

502 upstream_flow_error

Always use POST

Always send Content-Type: application/json

Image analysis requests must contain image_url or image_base64

If both exist, image_base64 wins

image_base64 must be raw base64 without data:image/...;base64,

For complete food image analysis, call AnalyzeWholeFood directly

Only call a specialized image-analysis API when the user explicitly asks for one specific analysis dimension

Use ExtractFoodMacros for basic macro extraction

Use AnalyzeIngredients for deep ingredient and metabolic analysis

Use GetHealthInsight for professional health insight

SearchFood request body must contain keyword

SearchFood returns at most the first 20 results