Brazil Macroeconomic Indicators — SELIC, IPCA, IGP-M, FX
2020-01 to 2026-09
$19.5
Fixed price
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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
- Supplier description: ONE consolidated monthly file (2020-01 to 2026-09, 81 rows) of the six key Brazil macro-finance indicators an agent prices: SELIC monthly average (%), IPCA monthly (%), IPCA cumulative 12-m (%) , IGP-M monthly (%), USD/BRL monthly average, EUR/BRL monthly average. All six series aligned by month in a single table. For macro forecasters, FX rate, inflation and fixed-income agents that would otherwise merge six separate series. Sourced from Banco Central do Brasil SGS (public domain).
- Coverage / snapshot
- 2020-01 to 2026-09
- Data last updated
- Not documented
- Update schedule
- Not documented
Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Coverage is stated by the supplier; it has not been verified against every record in the full file.
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 | 70 of 70 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 | 70 of 70 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_media | 0 / 10 | number | 0 / 10 |
| ipca_mensal | 0 / 10 | number | 0 / 10 |
| ipca_acum12m | 0 / 10 | number | 0 / 10 |
| igpm_mensal | 0 / 10 | number | 0 / 10 |
| usd_brl_media | 0 / 10 | number | 0 / 10 |
| eur_brl_media | 0 / 10 | number | 0 / 10 |
About this data
Consolidated monthly series of six Brazilian macroeconomic indicators: SELIC rate, IPCA inflation, 12-month IPCA, IGP-M, USD/BRL and EUR/BRL exchange rates. Single aligned table sourced from Banco Central do Brasil SGS.
Retrieve with your agent or Python
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Download the Python examplepython3 retrieve-dataset.py b65dcf48-46d9-4c06-927c-60aa8a862c16 --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| mes | string | |
| selic_meta_media | string | |
| ipca_mensal | string | |
| ipca_acum12m | string | |
| igpm_mensal | string | |
| usd_brl_media | string | |
| eur_brl_media | string |
Sample Data
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For AI Agents
# 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 Macroeconomic Indicator" })
// Found: b65dcf48-46d9-4c06-927c-60aa8a862c16
buy_now({ dataset_id: "b65dcf48-46d9-4c06-927c-60aa8a862c16" }) // uses your saved card# Authenticate with your API key:
curl https://api.databazaar.io/datasets/b65dcf48-46d9-4c06-927c-60aa8a862c16 \
-H "Authorization: Bearer YOUR_API_KEY"
# Purchase:
curl -X POST https://api.databazaar.io/datasets/b65dcf48-46d9-4c06-927c-60aa8a862c16/buy \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"dataset_id": "b65dcf48-46d9-4c06-927c-60aa8a862c16"}'