Category · Everyday APIs
Recipe, nutrition and meal planning APIs for AI agents
APIs that find recipes by ingredient and diet, give the nutrition of a dish or a photographed meal, plan a week of meals around a pantry and a budget, and turn the plan into a shopping list or a grocery order. Compared on recipe and nutrition coverage, diet filters, whether a plan can be written back, the licence on recipe text and what the free tier allows.
Best recipe, nutrition and meal planning APIs for AI agents, the shortlist28 head-to-head comparisons
Capability keys cooking.recipes · cooking.nutrition · cooking.meal-plans · cooking.pantry · cooking.grocery · cooking.food-recognition · All tools
letme.dev/cooking.recipes picks the top-graded tool in this list and says how to call it direct (how letme works).
The same listing from the live API. Graded results come first, then the official MCP registry when no graded-only filter is set.
https://www.anchorterminal.com/api/v1/searchFilters
| Compare | # | Tool | Category | Grade | Score | Agent rating | p95 | Context | Price / x402 | Auth | Where | Details |
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| 1045 | LogMealAIGecko Technologies S.L. · HTTP API | Cooking | D | 49.1 | none | n/a | n/a | Paid | API key | Local | ||
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LogMeal's Food AI Engine is a REST API from AIGecko Technologies, a University of Barcelona spin-off, that recognises dishes in a photo, returns ingredients, quantities and nutrients, and logs intakes, goals and plans per end user. Top strength One image call returns segmented dishes with ranked candidates, serving size in grams and a path to ingredients and more than 35 nutrients Top weakness No plan price is published; the pricing pages describe credits and limits and leave figures to the account |
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| 1048 | spoonacularskycraft GmbH · HTTP API | Cooking | D | 49 | none | n/a | n/a | $29 / mo | API key | Local | ||
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spoonacular is a recipe and food REST API from skycraft GmbH in Dresden. It searches recipes by ingredients, diet and nutrients, analyses recipes and grocery products, builds meal plans and shopping lists, and has a small open-source MCP server. Top strength Public OpenAPI 3.0 document with 97 paths, and generated SDKs in 24 languages under MIT Top weakness One all-powerful key per account, documented in the |
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| 1067 | Instacart Developer Platform API + MCPMaplebear Inc. (Instacart) · HTTP API | Shopping | D | 48.5 | none | n/a | n/a | Free | API key | Hosted | ||
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The Instacart Developer Platform API and its hosted MCP server turn a recipe or shopping list into an Instacart Marketplace page, where the person picks a store and checks out. It also finds nearby retailers by postal code. Top strength Hosted MCP server at https://mcp.instacart.com/mcp with two tools, create-recipe and create-shopping-list, each with typed JSON Schema inputs Top weakness No product search, price, order, order status or return endpoint. The person picks the store and checks out on Instacart |
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| 1129 | Eat This Much Partner APIEat This Much, Inc. · HTTP API | Cooking | E | 45.7 | none | n/a | n/a | Paid | API key | Local | ||
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The Eat This Much Partner API generates a week, a day or a meal of recipes to calorie and macro targets and diet presets, builds the grocery list and renders the plan as HTML or PDF, under a partner contract. Top strength Public OpenAPI 3.0.3 (version 4.2.0) with curl samples, named response schemas and a per-operation credit cost Top weakness No self-serve signup. Partners are onboarded after a contract, the API is in early access and prices are tailored per partner |
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| 1187 | EdamamEdamam · HTTP API | Cooking | E | 42.2 | none | n/a | n/a | $9 / mo | API key | Hosted | ||
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Edamam sells nutrition REST APIs. Recipe Search covers about 2 million web recipes with diet and allergen filters, the Food Database adds barcode lookup and a Vision model, and Nutrition Analysis parses recipe text, with a hosted Food MCP server. Top strength Public OpenAPI 3.0.3 documents for Recipe Search v2 and the Food Database, with typed enums for diet, health, cuisine, dish and meal filters Top weakness The API terms of use and privacy policy render by script and could not be read; no status page, security.txt or disclosure policy was found |
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| 1193 | fatsecret Platform APIfatsecret · HTTP API | Cooking | E | 42 | none | n/a | n/a | Freemium | OAuth | Local | ||
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The fatsecret Platform API is a REST API over fatsecret's verified food and nutrition database, with food search, barcode lookup, recipes, image recognition and natural-language food logging, plus per-user food, exercise and weight diaries, under OAuth 2.0 and OAuth 1.0. Top strength OAuth 2.0 client credentials with seven scopes, 24-hour tokens and token requests limited to registered IP addresses Top weakness Natural language, image recognition, autocomplete, barcode scanning and foods.search v5 are Premier Exclusive, priced on request by market |
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| 1231 | MealMe APIMealMe, Inc. · HTTP API | Shopping | E | 38.4 | none | n/a | n/a | $0.10 / call | API key | Local | ||
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MealMe is a REST API from MealMe, Inc. that searches restaurants, grocery stores and products across the US and Canada, returns menus and inventory with live quotes, and places pickup or delivery orders with tracking and support chat. Top strength Search, inventory, cart, order, payment, tracking webhook and support chat in one API, covering restaurants and grocery stores in the US and Canada Top weakness One key with no scopes, read-only mode, expiry or rotation documented, sent in a custom Id-Token header |
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| 1259 | Nutritionix APISyndigo LLC · HTTP API | Cooking | F | 33.6 | none | n/a | n/a | Paid | API key | Local | ||
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The Nutritionix API, run by Syndigo, turns free-text food and exercise descriptions into nutrition data and searches a database of grocery products, restaurant menu items and generic foods by name or UPC. Access is arranged through Syndigo's sales team. Top strength POST /v2/natural/nutrients parses phrases such as '1 cup rice' into serving weights, 11 summary nutrients and a full nutrient array in one call Top weakness No public free tier or published price; a limited trial is granted by sales after a form on www.nutritionix.com |
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Nothing matches these filters. .
p95 latency and context cost come from our probes, which haven't run yet, so those columns start hidden. Grades run from AA to F, and agent-ready means BB or better. Filters, sorting and export run in your browser; the table is complete without JavaScript.
How we test this category
In this run, public evidence against the published checklist. When the task suites run, the same pantry list and diet sent to each listing for a week of dinners, the shopping list read back and one meal's nutrition checked against a reference table. We check the recipes fit the pantry, the diet rule holds and what the terms let an agent keep. This test hasn't run yet, so Task success is pending and the grades here come from the categories assessed from public evidence.
How the ranking works
Every listing is scored 0 to 100 and given a grade from AA to F. In the October 2026 research run, 7 of the 9 weighted categories are scored from public evidence (status history, docs, pricing, terms, source and security pages) against a published checklist, with the reason and sources for every score on the listing. Performance and Task success wait for our probes and task suites, so their weight is shared across the rest until they run. Negative events deduct up to 15 points. Read the methodology.
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