retailsupermarketpricesbrazilretailcuritibagroceryopen-data

Curitiba Supermarket Prices

August 2026

$9.9

Fixed price

Sample structure: 99.4 / 100

0 download links issued

Seller: Yoda B Hunter

Already have an account? Log in

Have an API key? Use the REST API →

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: Curitiba Clique Economia
Collection method: uploaded
Coverage / snapshot: August 2026
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 99.4 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	49.4 / 50	89 of 90 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	89 of 89 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
data_pesquisa	0 / 10	string	0 / 10
rede	0 / 10	string	0 / 10
cidade	0 / 10	string	0 / 10
categoria_codigo	1 / 10	number	0 / 9
produto	0 / 10	string	0 / 10
preco_regular	0 / 10	number	0 / 10
preco_promocao	0 / 10	number	0 / 10
preco_fidelidade	0 / 10	number	0 / 10
preco_efetivo_min	0 / 10	number	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Retail prices for 5,377 products across 17 supermarket chains in Curitiba, Brazil, collected 28 August 2026. Includes regular, promotional, loyalty, and effective minimum prices from Clique Economia open-data program.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 567c2ac4-f51a-43f7-8dd7-c6703e28a49c --output dataset.bin

Full supplier documentation

Original supplier listing: Curitiba Supermarket Prices Aug 2026 - 5,377 SKUs across 17 chains (Clique Economia, open data) Retail price dataset of 5,377 products (SKUs) collected 2026-08-28 across 17 supermarket chains in Curitiba, Brazil (Condor, Angeloni, Super Muffato, Festval and more), from the city open-data program Clique Economia (public domain). Columns: data_pesquisa, rede, cidade, categoria_codigo, produto, preco_regular, preco_promocao, preco_fidelidade, preco_efetivo_min. Ideal for grocery price benchmarking, inflation analysis and retail intelligence agents.

Schema

Name	Type	Description
data_pesquisa	string
rede	string
cidade	string
categoria_codigo	string
produto	string
preco_regular	string
preco_promocao	string
preco_fidelidade	string
preco_efetivo_min	string

Sample Data

Download a free sample to inspect the data before purchasing.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Curitiba Supermarket Prices" })
// Found: 567c2ac4-f51a-43f7-8dd7-c6703e28a49c
buy_now({ dataset_id: "567c2ac4-f51a-43f7-8dd7-c6703e28a49c" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/567c2ac4-f51a-43f7-8dd7-c6703e28a49c \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/567c2ac4-f51a-43f7-8dd7-c6703e28a49c/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "567c2ac4-f51a-43f7-8dd7-c6703e28a49c"}'