Provides a modern interface to the open data application programming interfaces of the Brazilian federal government's 'TransfereGov' platform (< https://www.gov.br/transferegov/pt-br/ferramentas-gestao/dados-abertos>). Covers the special transfers, fund-to-fund transfers, partnership management, and decentralized credit ('TED') modules, which together publish seventy-four tables on action plans, programs, proposals, partnerships, budget commitments, credit notes, financial execution, management reports, and payment orders. Filters are the services' own typed query parameters, validated against the published schema before a request is made, and results are returned as tidy tibbles with types taken from that schema. Automatic pagination, request throttling, retries with exponential backoff, and an optional response cache are included.
An R interface to the open data APIs of TransfereGov, the Brazilian federal government’s platform for transfers to states, municipalities and civil society.
The package targets the public API host,
api-publica.transferegov.gestao.gov.br, which publishes four modules
and 74 tables in all:
| Module | Covers | Tables |
|---|---|---|
especiais |
Special transfers, created by Constitutional Amendment 105/2019 for individual parliamentary amendments | 23 |
fundoafundo |
Fund-to-fund transfers, from federal funds directly to state, district and municipal funds | 20 |
parcerias |
Partnership management: programs, proposals, partnerships, their financial execution and bank statements | 17 |
ted |
Decentralized credit between federal bodies (termo de execução descentralizada): programs, action plans, credit notes and financial programming | 14 |
Every table in the published data models is reachable. Where the API
folds a child table into its parent rather than giving it an endpoint of
its own, it arrives as a list column — 5 of them in fundoafundo, 13 in
parcerias, 4 in ted — and tg_fields(nested = ) describes what is
inside.
api.transferegov.gestao.gov.br,
which version 0.1.0 of this package used. The government announced
their retirement for 2026-08-31. They are a different and largely
superseded contract — different column names, a handful of columns
each way, and a historico_pagamento_especial table that the new
service does not carry.From CRAN:
install.packages("transferegovr")
The development version, from GitHub:
# install.packages("pak")
pak::pak("StrategicProjects/transferegovr")
library(transferegovr)
tg_modules()
tg_tables("parcerias")
tg_fields("parcerias", "proposta")
tg_params("parcerias", "proposta")
tg_get() retrieves rows. Each filter is named after one of the
endpoint’s own query parameters, and parameters combine with AND:
tg_get(
"parcerias", "proposta",
sg_uf_recebedor = "PE",
situacao_proposta = "Aprovada",
.limit = 20
)
That is almost the whole filtering vocabulary. These services compare
for equality — no greater-than, no pattern match — and publish no
ordering or column-selection parameter. The one extension is on
identifiers: 113 of them take several values and match any, which
tg_params() marks as multiple:
tg_get("ted", "planos_acao_metas", id_plano_acao = c(3, 4))
tg_params() lists what each table accepts, including the permitted
values of the enumerated parameters.
These services ignore a query parameter they do not recognize and
answer 200 with the whole table. Misspell situacao_proposta and you
get 89,415 rows where the filter would have given 85,041 — a plausible
number, quietly wrong.
So every parameter name is checked against the packaged schema before a request goes out:
tg_count("parcerias", "proposta", in_situacao_proposta = "Aprovada")
#> Error in `tg_count()`:
#> ! Unknown filter: "in_situacao_proposta".
#> ✖ The API ignores a parameter it does not recognize and returns every row, so
#> this would look like a query that matched nothing in particular.
#> ℹ Did you mean "situacao_proposta"?
Enumerated values are checked the same way, before the round trip rather than after it.
Each request returns one page — at most 200 rows in especiais and
parcerias, 1000 in fundoafundo and ted — and these tables are not
small. Ask before you fetch:
tg_count("especiais", "meta_especiais")
#> [1] 156193
.limit counts rows, not pages. Anything above one page is collected
page by page, and the total collected is checked against what the API
reported:
metas <- tg_get("especiais", "meta_especiais", .limit = Inf)
tg_metadata(metas)$total_rows
tg_metadata(metas)$pages
Columns are typed from the API’s own schema rather than guessed, so a column that happens to be entirely null on one page does not change class on the next:
proposals <- tg_get("parcerias", "proposta", .limit = 5)
class(proposals$dt_proposta)
#> [1] "Date"
class(proposals$intervenientes_proposta)
#> [1] "list"
Each module reports when it was last loaded, which is the only freshness
signal these APIs give — they send no ETag, Cache-Control or
Last-Modified:
tg_updated_at("parcerias")
#> [1] "2026-09-28 UTC"
Responses are cached for an hour in the session’s temporary directory, so nothing is written outside the session unless you ask for it. To keep them between sessions:
tg_cache_dir(tools::R_user_dir("transferegovr", "cache"))
or set TRANSFEREGOVR_CACHE_DIR in your .Renviron. tg_cache_clear()
empties it.
Two things in that picture are where a naive client of these APIs loses data:
Page order is the server’s — these APIs publish no ordering parameter —
so it was verified rather than assumed: the same rows come back in the
same sequence across page sizes, across repeated calls, 100,000 rows
deep, on tables with no key, and on tables with nested columns.
tests/testthat/test-live.R keeps checking it.
Table names, column names, parameter names and categorical values belong
to the API and are left as the government publishes them. The package’s
own functions, arguments and documentation are in English, with
Portuguese aliases (tg_obter(), tg_contar(), tg_tabelas(),
tg_campos(), tg_parametros(), tg_atualizado_em()) for the exported
verbs.