Fuzzy search for LEI records

Performs a typo-tolerant, approximate search against the GLEIF API. Unlike the filters in lei_records(), which match literal substrings, this matches on edit distance and returns candidate values together with their LEI. Useful for resolving messy or misspelled entity names to a LEI, which can then be passed to lei_record_by_id().

Usage

lei_fuzzy(q, field = c("fulltext", "entity.legalName", "owns", "ownedBy"))

Source

https://www.gleif.org/en/lei-data/gleif-api

Arguments

q

(character(1))
The search query.

field

(character(1))
The field to search. One of "fulltext", "entity.legalName", "owns", or "ownedBy". Default is "fulltext".

Value

A data.frame() with columns:

• value: The matched value

• lei: The Legal Entity Identifier of the matched record, or NA if none is linked

See also

lei_autocomplete() for prefix-based completion, lei_record_by_id() for full records.

Examples

# \donttest{
lei_fuzzy("Deutsch Bank", field = "entity.legalName")
#>                         value                  lei
#> 1            DEUTSCHE BANK SA 529900J2KCFIPEYJIE34
#> 2        DEUTSCHE BANK S.P.A. 529900SS7ZWCX82U3W60
#> 3      Deutsche Bank Stiftung 391200PCHLV827FDCB76
#> 4   Deutsche Bank (Chile) S.A 549300B4Z1JOQPQSVA53
#> 5   Deutsche Bank Europe GmbH 213800QILIUD4ROSUO03
#> 6   Deutsche Bank (Perú) S.A. 529900N94W687OHXIV81
#> 7   DEUTSCHE BANK SA ESPAÑOLA 529900SICIK5OVMVY186
#> 8   Deutsche Bank (Suisse) SA 529900BXKPMXQTRE1V05
#> 9  Deutsche Bank (Chile) S.A. 529900S441FVQLZIRQ90
#> 10 DEUTSCHE BANK MUTUI S.P.A. 8156006ACD5E92B0C985
# }