Edamam Food Database API

Name: Food Database API
Brand: Food Database API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentData EnrichmentData Transformationnone4 EndpointsREST

For Agents

Search Edamam's foods database, look up full nutrition by foodId or image, and power autocomplete for food search via four REST endpoints.

Install Jentic One Beta

Connect the Food Database API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Food Database API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Food Database API.

Parse a free-text food query into matching Edamam foodIds with portion measures

Look up full nutrition for a chosen foodId and quantity via the nutrients endpoint

Run a beta nutrition lookup from a meal image to extract nutrient totals

GET STARTED

Start building with Food Database API

Explore with Jentic

View OpenAPI Document

Jentic publishes the only available OpenAPI specification for Food Database API, keeping it validated and agent-ready. The Edamam Food Database API converts free-text food queries and grocery items into structured nutrition data drawn from a curated foods database. It exposes a parser endpoint for food search, nutrient lookup endpoints for full nutrition retrieval (including a beta image-based lookup), and an autocomplete endpoint to power search-as-you-type interfaces. Health, fitness, and recipe applications use it to attach nutrition facts to user-entered foods without maintaining their own food taxonomy.

Use Cases

Patterns agents use Food Database API for, with concrete tasks.

★ Meal Logging Nutrition Lookup

Diet and fitness apps let users enter foods in natural language and need to attach nutrition facts to each entry. The Food Database API's GET /api/food-database/v2/parser turns the user's query into Edamam foodIds with portion measures, then POST /api/food-database/v2/nutrients returns the full nutrient breakdown for the chosen quantity. The pair covers the parse-then-resolve flow most meal trackers depend on.

GET /api/food-database/v2/parser for the user's food entry, pick the closest match, then POST /api/food-database/v2/nutrients for the chosen quantity.

Search-As-You-Type Food Pickers

Food pickers and grocery search inputs benefit from low-latency autocomplete. GET /auto-complete returns suggestion strings for a partial query, which the client can render below the input. This is independent of the parser flow — it suggests text, not foodIds — so it works as a thin layer on the front end.

Call GET /auto-complete on every keystroke after two characters and render the returned suggestions in the picker dropdown.

AI Vision Meal Estimation (Beta)

POST /api/food-database/nutrients-from-image is a beta endpoint that takes a meal image and returns nutrient estimates. Apps offering 'snap-and-track' meal logging use it as a drop-in for users who don't want to type every food. The endpoint is in beta so production apps usually allow a manual confirmation step before persisting the values.

POST /api/food-database/nutrients-from-image with the meal photo, present the estimated foods to the user, and let them confirm before logging.

AI Agent Nutrition Assistant

An AI agent built into a wellness app can use Jentic to discover the parser, nutrients, and autocomplete endpoints and chain them into a 'log my meal' flow. The agent parses the user's prompt, picks the best foodId match, calls the nutrients endpoint for full breakdown, and writes the result back to the user's diary, all without a custom Edamam integration.

Through Jentic, search 'parse food and get nutrition', load the parser and nutrients schemas, and execute the chained call for 'two slices of whole wheat toast'.

Key Endpoints

4 endpoints — jentic publishes the only available openapi specification for food database api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

GET

/api/food-database/v2/parser

Search foods and return foodIds with measures

POST

/api/food-database/v2/nutrients

Full nutrition lookup by foodId and quantity

POST

/api/food-database/nutrients-from-image

Beta nutrition lookup from a meal image

GET

/auto-complete

Autocomplete suggestions for food search

GET

/api/food-database/v2/parser

Search foods and return foodIds with measures

POST

/api/food-database/v2/nutrients

Full nutrition lookup by foodId and quantity

POST

/api/food-database/nutrients-from-image

Beta nutrition lookup from a meal image

GET

/auto-complete

Autocomplete suggestions for food search

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

The Edamam app_id and app_key are stored encrypted in the Jentic vault. Agents receive operations and Jentic injects both query parameters at call time so the raw credentials never enter the agent's context or logs.

Intent-based discovery

Agents search natural-language intents like 'parse food and get nutrition' and Jentic returns the matching parser and nutrients operations with their input schemas, so the agent calls the right endpoint without reading the Edamam developer portal.

Time to first call

Direct Edamam integration takes 1-2 days to chain parser to nutrients, handle the beta image endpoint, and account for the app_id/app_key query-parameter pattern. Through Jentic the search-load-execute flow is under an hour.

FAQs

Specific to using Food Database API through Jentic.

Why is there no official OpenAPI spec for Food Database API?

Edamam does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Food Database API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the Edamam Food Database API use?

The Edamam Food Database API uses an app_id and app_key pair as API key credentials. Through Jentic, both values are stored encrypted in the Jentic vault and injected into the request at call time so the raw key never enters the agent's context.

Can I get nutrition data for a free-text food query with the Food Database API?

Yes. GET /api/food-database/v2/parser turns a free-text query into matching foodIds with portion measures, and POST /api/food-database/v2/nutrients returns the full nutrient breakdown for a chosen foodId and quantity.

What are the rate limits for the Edamam Food Database API?

The OpenAPI spec does not declare rate limits. Edamam applies plan-based call quotas tied to the app_id; the parser, nutrients, and autocomplete endpoints share that pool, so cache parser results and reuse foodIds to keep call volume down.

How do I run the beta image nutrition endpoint through Jentic?

Search 'edamam nutrition from image' in Jentic, load the POST /api/food-database/nutrients-from-image schema, send the image payload, and Jentic returns the estimated foods and nutrients. The endpoint is in beta so allow user confirmation before persisting values.

Does the Food Database API include recipe analysis?

No. This spec covers food search, nutrient lookup, image-based nutrition, and autocomplete only. Recipe-level analysis is provided by Edamam's separate Recipe Search and Nutrition Analysis APIs.

Edamam Food Database API

Connect the Food Database API to your agent

Capabilities

Start building with Food Database API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs