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DATA SPECIFICATION

Everything you need to evaluate us — before you get in touch.

Field definitions, licensing classes, coverage by segment, and samples of the real data. Run your internal evaluation first, then talk to us.

Every count and completeness figure is measured directly from the database and follows the nightly update automatically.

Catalog last confirmed 2026-10-20

Scale and completeness

All figures are measured, with the underlying numbers shown alongside the rounded display.

Products listed

61,666

items

Brands covered

457

brands

Dish-name master

5,370

items

Complete on all four macros

100%

61,666 / 61,666

Confirmed within 7 days

89%

55,007 / 61,666

With JAN barcode

12,344

items

The figures above are a snapshot of today. Which brands were added on which date, and how many items change each day, are published as a full historical record. See the changelog

Licensing classes

Within a single record, different fields carry different rights. kalori manages them in three classes and states which are included by default. Please start here when evaluating what you can use.

F

Factual

Product name, serving brand, price, first-seen and last-confirmed dates, JAN codes — facts observable from public information.

Availability: Included by default

G

kalori-generated

AI-estimated nutrition, the dish-name master, normalization metadata (aliases, kana readings), and generated imagery — created by kalori, with clear title.

Availability: Included by default

O

Official nutrition values

Nutrition figures as published by each brand. Redistribution depends on the relationship with the source, so they are excluded from the default scope of bulk delivery (CSV, feeds). The Catalog API does return them, for display inside the contracted service only (provenance: official).

Availability: Bulk delivery by separate agreement / included in the Catalog API for display

Coverage by segment

Listing scale, nutrition completeness, and freshness for each segment, so you can check whether the areas you need are sufficiently covered.

Segment Brands Products Macros complete Official-based Within 7 days
Convenience Store 25 12,425
100%
45%
98%
Beef Bowls and Rice Bowls 6 940
100%
89%
100%
Curry 4 156
100%
71%
100%
Fast Food 13 846
100%
62%
100%
Café 37 5,601
100%
77%
88%
Set Meals 16 2,248
100%
25%
75%
Udon 14 1,282
100%
30%
79%
Soba 11 1,028
100%
54%
75%
Izakaya 24 3,391
100%
47%
72%
Family Restaurants 22 3,479
100%
69%
84%
Hamburger Steak & Steak 17 1,699
100%
42%
82%
Yakiniku 15 1,952
100%
11%
73%
Fried Chicken 7 621
100%
49%
76%
Tonkatsu 12 679
100%
8%
77%
Sushi 19 3,171
100%
46%
81%
Ramen 46 1,660
100%
21%
92%
Chinese 18 1,506
100%
53%
69%
Korean 4 586
100%
4%
17%
Indian 2 146
100%
0%
5%
Tempura 2 441
100%
97%
100%
Okonomiyaki 2 126
100%
0%
100%
Pizza 5 1,701
100%
90%
100%
Italian and Pasta 16 2,093
100%
72%
100%
Bento and Prepared Foods 13 1,320
100%
37%
100%
Other Restaurants 11 1,168
100%
6%
87%
Bread 13 691
100%
64%
100%
Snacks and Sweets 34 3,743
100%
82%
100%
Seasonings & Processed Foods 8 932
100%
76%
100%
Frozen Foods 14 2,930
100%
86%
100%
Instant Noodles 3 1,036
100%
98%
100%
Beverages 11 1,061
100%
89%
94%
Health Foods and Dairy 13 1,008
100%
85%
100%
Total 457 61,666 100% 56% 89%

Individual brand names are not listed in this table. You can see exactly which brands are covered on our public store directory. The brand list and scope for a partnership are shared after an NDA. Browse the public store directory

Field definitions

The structure of the records we provide, including units, nullability, and licensing class, so you can confirm the fields you need are present.

Product catalog

Field Type Null Class Description
id integer No F Stable product ID. Never reused, even after delisting.
shop_id string No F Serving brand identifier. Withheld in the public sample.
name string No F Product name. Withheld in the public sample.
category enum No F Brand category (convenience store, fast food, …).
genre enum Yes G Dish genre, normalized to one taxonomy across every brand.
cal number (kcal) Yes O/G Energy.
protein number (g) Yes O/G Protein.
fat number (g) Yes O/G Fat.
carbs number (g) Yes O/G Carbohydrate.
fiber number (g) Yes O/G Dietary fiber, where published.
salt number (g) Yes O/G Salt equivalent, where published.
nutrition_source enum No F Provenance of the nutrition values: official / partial (official with AI-filled gaps) / estimated.
price integer (JPY) Yes F Displayed price, tax-inclusive where available.
jan_code string Yes F JAN (EAN-13) barcode where obtainable. Checksum-verified.
first_seen_date date Yes F First appearance in the catalog (UTC ISO 8601).
last_confirmed_at date Yes F Last time the item was confirmed at the source (UTC ISO 8601). Use this column to judge freshness.
lifecycle_state enum No F Listing state (active, discontinued, …). Delisted items are retained as history.

Dish-name master

Field Type Null Class Description
id integer No G Stable dish ID.
canonical_name string No G Canonical name — a generic dish name that belongs to no brand.
aliases array Yes G Surface variants, used for search normalization.
reading string Yes G Kana reading, used for matching across kanji/kana/romaji.
category string No G Dish category.
cal number (kcal) Yes G Estimated energy per serving.
protein number (g) Yes G Estimated protein per serving.
fat number (g) Yes G Estimated fat per serving.
carbs number (g) Yes G Estimated carbohydrate per serving.
total_grams number (g) Yes G Serving weight the estimate is based on.
estimation_confidence number Yes G Estimate confidence (0–1). Values below 0.6 are rejected.

Samples of the real data

Download and take these straight into your internal evaluation. Available as JSON and CSV.

Dish-name master

50 rows

A master of generic dish names that belong to no particular brand. Canonical names, surface variants, kana readings, and estimated nutrition are all included as real values.

First row

{
  "id": 1,
  "canonical_name": "醤油ラーメン",
  "aliases": [
    "醤油らーめん",
    "しょうゆラーメン",
    "中華そば",
    "醤油そば"
  ],
  "reading": "しょうゆらーめん",
  "category": "ラーメン",
  "cal": 470,
  "protein": 16.5,
  "fat": 12.2,
  "carbs": 67.5,
  "total_grams": 495,
  "estimation_confidence": 0.65
}

Product catalog (structural sample)

50 rows

Product names and brand identifiers are withheld. Nutrition, price, provenance, and dates are real data, so you can evaluate record shape, completeness, and freshness.

First row

{
  "id": 1,
  "shop_id": null,
  "name": null,
  "category": "fastfood",
  "genre": "burger",
  "cal": 408,
  "protein": 11.4,
  "fat": 18.6,
  "carbs": 49.5,
  "fiber": 4.5,
  "salt": 2.2,
  "nutrition_source": "official",
  "price": 440,
  "jan_code": null,
  "first_seen_date": "2025-11-29T07:44:11.962Z",
  "last_confirmed_at": "2026-10-19T16:51:09.947Z",
  "lifecycle_state": "active"
}

Samples are for evaluation purposes only. Redistribution and resale are not permitted.

How we provide data

Pricing and scope are quoted individually once we understand your use case. The shape of the arrangement is set in advance.

We review the use case first

We confirm who will use the data, for what, and whether it will be redistributed. Not every request is accepted.

Non-exclusive, fixed-term by default

We do not grant exclusivity to a single company. Fixed-term agreements are the standard.

Ongoing maintenance is included

Keeping up with source revisions, normalizing naming, and daily updates are part of what we provide. We do not sell one-off dumps.

Start with a small proof of concept

Begin with a PoC scoped to specific data and success criteria. We are happy to talk before your requirements are settled.

This page covers the product catalog and nutrition information. The personal meal records and personal data of people who use kalori are not part of what we provide.

Frequently asked questions

How are official and AI-estimated nutrition values distinguished?

Provenance is kept per field. Each value is marked as officially published, partially AI-completed, or fully AI-estimated, and deliveries preserve this distinction. AI estimates carry error margins, so we ask that this is disclosed wherever the values are displayed.

How often is the data updated?

Every night we automatically collect and refresh each chain's official information. New products, discontinuations, and price or nutrition revisions are reflected daily, and dated as-of snapshots of the full catalog are retained.

Can the data be used commercially?

Yes, under a corporate license agreement. Non-exclusive, fixed-term contracts are our standard. The samples on this page are for evaluation only and may not be used commercially before a contract is in place.

Can the data be resold or redistributed?

No. Reselling or redistributing the data to third parties, or rebuilding a database from it, is restricted by contract.

How much does it cost?

We quote individually based on scope (brands, fields, whether images are included), intended use, and update frequency. You can also start with a small, tightly scoped proof of concept.

Are kalori users' meal records included?

No. What we provide is the product catalog and nutrition information only — the personal meal records and personal data of kalori users are never part of it.

Evaluate first, then talk to us

Tell us the fields, scope, integration method, and timing you need, and we will come back with a specific proposal. There is no charge for the conversation.

Discuss the Catalog API

Important Notice

  • The information on this site is provided for reference purposes only and does not guarantee the accuracy of nutritional information.

  • If you have food allergies, please check the ingredients on the official website of each store or on product packaging.

  • Nutritional data is based on official store information, but may differ from actual values due to product specification changes.

  • If you have dietary restrictions due to health conditions, please consult with a doctor or registered dietitian.

  • The operator assumes no responsibility for any damages resulting from the use of this service.

  • Some product PFC values are AI-estimated. These may differ from actual values, so please use them as a reference only.