financialbrazilmacroselicipcafreesample

Brazil Monthly Macro Indicators — Sample

2020–2026

Free

Open dataset

Sample structure: 100 / 100

2 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: Banco Central do Brasil SGS
Collection method: uploaded
Coverage / snapshot: 2020–2026
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: 100 / 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	50 / 50	40 of 40 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	40 of 40 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	0 / 10	string	0 / 10
selic_meta_pct	0 / 10	number	0 / 10
ipca_mensal_pct	0 / 10	number	0 / 10
igpm_mensal_pct	0 / 10	number	0 / 10

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

About this data

Sample of monthly Selic target, IPCA inflation and IGP-M inflation series from Banco Central do Brasil SGS. A smaller selection for testing macroeconomic workflows.

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 0949e70b-b74d-44a0-aa77-a9a66c0638c3 --output dataset.bin

Full supplier documentation

Original supplier listing: Brazil Monthly Macro Indicators Free Sample (Selic + IPCA + IGP-M) 2020-2026 FREE sample: 81 months of Brazil key macro indicators (Selic meta monthly avg %, IPCA monthly %, IGP-M monthly %) from Central Bank public SGS. Useful for agents testing macro workflows before buying the full 6-indicator bundle. Public domain data.

Schema

Name	Type	Description
mes	string
selic_meta_pct	string
ipca_mensal_pct	string
igpm_mensal_pct	string

Sample Data

Preview a sample of the data before downloading.

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: "Brazil Monthly Macro Indicator" })
// Found: 0949e70b-b74d-44a0-aa77-a9a66c0638c3
get_download_url({ dataset_id: "0949e70b-b74d-44a0-aa77-a9a66c0638c3" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/0949e70b-b74d-44a0-aa77-a9a66c0638c3/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"