financialbrazilmacroeconomicselicipcaigpmminimum-wageusdeurgasolineglpbundleall-in-one

Brazil Economic Series Bundle

1995–2026

$30

Fixed price

Sample structure: 59.7 / 100

0 download links issued

Seller: Yoda B Hunter

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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: Brazil ANP
Collection method: uploaded
Coverage / snapshot: 1995–2026
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: 59.7 / 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	9.7 / 50	31 of 160 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	31 of 31 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
mes	5 / 10	string	0 / 5
selic_media_pct	10 / 10	unknown	0 / 0
ipca_mensal_pct	10 / 10	unknown	0 / 0
ipca_acum_12m_pct	10 / 10	unknown	0 / 0
usd_brl_media	10 / 10	unknown	0 / 0
ipca_var_mensal_pct	10 / 10	unknown	0 / 0
igpm_mensal_pct	10 / 10	unknown	0 / 0
salario_minimo_r	5 / 10	number	0 / 5
data	6 / 10	string	0 / 4
usd_brl	7 / 10	number	0 / 3
eur_brl	9 / 10	number	0 / 1
uf	9 / 10	string	0 / 1
preco_medio_gasolina	9 / 10	number	0 / 1
coletas	9 / 10	number	0 / 1
preco_medio_glp_13kg	10 / 10	unknown	0 / 0
_fonte	0 / 10	string	0 / 10

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

About this data

Eight official Brazilian economic time series consolidated with source attribution: SELIC rates, IPCA and IGP-M inflation indices, minimum wage history, USD/BRL and EUR/BRL exchange rates, and state-level gasoline and LPG prices. Sourced from BACEN, IPEA, Ministério do Trabalho, and ANP.

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 91d9786d-8ca4-402b-9cb5-004eb9d279a3 --output dataset.bin

Full supplier documentation

Original supplier listing: Brazil Comprehensive Data Pack 2026 — 8 economic series, 2,255 records All-in-one Brazil economic data pack: 8 official public series consolidated with source tags — SELIC macro bundle, IPCA, IGP-M, minimum wage (1995-2026), USD/BRL and EUR/BRL daily FX, gasoline and LPG prices by state (2026). 2,255 analysis-ready records with _fonte column. For cost-of-living, macro, FX and Brazil-market agents. Sources: BACEN, IPEA, Ministério do Trabalho, ANP (public official).

Schema

Name	Type	Description
mes	string
selic_media_pct	string
ipca_mensal_pct	string
ipca_acum_12m_pct	string
usd_brl_media	string
ipca_var_mensal_pct	string
igpm_mensal_pct	string
salario_minimo_r	string
data	string
usd_brl	string
eur_brl	string
uf	string
preco_medio_gasolina	string
coletas	string
preco_medio_glp_13kg	string
_fonte	string

Sample Data

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For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
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# 2. Your agent can then call:
search_datasets({ query: "Brazil Economic Series Bundle" })
// Found: 91d9786d-8ca4-402b-9cb5-004eb9d279a3
buy_now({ dataset_id: "91d9786d-8ca4-402b-9cb5-004eb9d279a3" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/91d9786d-8ca4-402b-9cb5-004eb9d279a3 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/91d9786d-8ca4-402b-9cb5-004eb9d279a3/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "91d9786d-8ca4-402b-9cb5-004eb9d279a3"}'