bots.st/open-economics
Open Economics
Semantic search and query official Brazil economic data
3766 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 19
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp
What it can do
| Tool | What it says it does |
|---|---|
describe_official_dataset | Get identity, publisher, collection, provenance links, query capability, and any stable Open Economics series shortcuts for an exact dataset ID returned by search_official_data. This does not fetch observations. |
get_anp_fuel_prices | Retrieve auditable fuel and GLP price statistics calculated from official ANP station observations. Omit year and month for the rolling latest four weeks, or provide both for a published monthly file from 2023 onward. Results retain period, product, geography, unit, sample count, source URL, and… |
get_bcb_schema | Fetch authoritative metadata for an exact BCB SGS series, including full name, subject hierarchy, periodicity, unit, source, coverage dates, decimals, formula, and warnings. Use when interpreting a BCB series without retrieving observations. |
get_bcb_series | Retrieve official observations and authoritative schema metadata for an exact BCB SGS dataset ID. Use only after search_official_data identifies the series. Dates, units, periodicity, source, and raw values are preserved; generic access does not guess transformations. |
get_comexstat_data | Retrieve a bounded, explicit MDIC Comex Stat export or import slice from 1997 onward. Use comexstat:general only after search_official_data. Select period, dimensions, metrics, and optional official filter codes; partner, product, state, transport, classification, and raw metric fields remain… |
get_cvm_investment_funds | Retrieve daily CVM aggregates by official fund classification or resolve a fund/class latest report by CNPJ or name. Net assets and flows are additive; quota values stay fund-level; reported holder totals are not deduplicated people. |
get_cvm_investment_funds_schema | Inspect the synchronized CVM daily-report window, official classifications, fund-search contract, measure meanings, and aggregation constraints. Use before querying a fund by name or comparing classes. |
get_epe_electricity_consumption | Retrieve monthly EPE electricity consumption and consumer counts from 2004 onward. Select a bounded period, country/region/UF geography, consumption classes, and regulated/free market. The response identifies the exact synchronized official workbook version and discloses aggregation across source… |
get_ibge_data | Retrieve an explicit slice of an IBGE aggregate after inspecting its schema. Returns variables containing classification selections, geographies, and observations; official suppression, missing, quality-flag, and zero states remain distinct. |
get_ibge_schema | Fetch official metadata for an IBGE aggregate selected by search_official_data. Always use this before get_ibge_data unless the official variable, locality, and classification IDs are already known. It prevents guessing a measure or dimensional slice. |
get_mte_formal_employment | Retrieve revised monthly Novo Caged stock, admissions, dismissals, balance, and relative change from 2020 onward. Select exactly one official breakdown: country, region, state, or economic activity. The response preserves the MTE workbook vintage and never synthesizes state-by-industry values. |
get_mte_formal_employment_schema | Inspect the official adjusted Novo Caged selection contract, source vintage, measure meanings, available industry IDs, and the constraint that geography and industry come from separate official tables. Use before an industry query. |
get_siconfi_data | Retrieve an explicit official SICONFI DCA, RREO, RGF, or entity-registry selection. First inspect the schema. This tool preserves account, column, annex, period, entity, raw value fields, and upstream provenance without aggregating or substituting concepts. |
get_siconfi_schema | Get the meaning and required selection fields for an exact SICONFI dataset returned by search_official_data. Use this before get_siconfi_data so entity, reporting period, report type, government branch, and annex are explicit rather than guessed. |
get_tesouro_dpf | Retrieve one official monthly RMD table at a time: debt composition, DPMFi holders, average maturity, average maturity by indexer, monthly cost, or twelve-month cost. Units remain table-specific and are never combined. |
get_tesouro_dpf_schema | Inspect the six versioned RMD annex tables, their distinct units and coverage, category IDs, holder definitions, source publication, and methodological constraints before selecting data. |
get_tesouro_rtn | Retrieve monthly current-value RTN accounts from 1997 onward. Defaults to total revenue, transfers, net revenue, total expenditure, and the above-the-line primary result; select exact account IDs or search account labels for detail. |
get_tesouro_rtn_schema | Inspect RTN table 1.2 account IDs, hierarchy, current-value unit, coverage, source vintage, and above/below-the-line constraints. Use before selecting revenue or expenditure categories. |
search_official_data | Start here for a natural-language Brazilian economic-information need in Portuguese or English. Resolves the economic concept independently of current coverage, returns ranked official datasets, stable-series shortcuts, confidence, missing source integrations, and an explicit unresolved/partial… |
In its maker's words
Discover, resolve, and query official Brazilian economic data with semantic search and provenance.
- Website
- open-economics-data.knbf982hkn.chatgpt.site/en
- Source
- github.com/felipegambettadesouza6-jpg/open-economics
- Publisher
- felipegambettadesouza6-jpg
- Listed from
- the official MCP Registry as
io.github.felipegambettadesouza6-jpg/open-economics - Version
- 2.0.2, updated 11 Sep 2026
- Kinds of work
- Search and research, AI models and agent tools, Data and databases
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 3766 ms | |
| Answered | 3615 ms | |
| Answered | 2426 ms |
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