Atoka API User Reference

Companies package "Public Funding"

See the glossary for information about the source and the license of the data.

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Available fields
Description
Data
Used by filters
Facet
Match
Stats
availableCovid

amount of Gross Grant Equivalent (in Italian, Equivalente Sovvenzione Lorda) still available in terms of COVID-related public funding for that company. Always referring to the last 3 financial years.

- publicFundingAvailableCovid publicFundingAvailableCovidMin publicFundingAvailableCovidMax
availableDeMinimis

amount of Gross Grant Equivalent (Equivalente Sovvenzione Lorda in Italian) still available in terms of De Minimis public funding for that company. Always referring to the last 3 financial years.

- publicFundingAvailableDeMinimis publicFundingAvailableDeMinimisMin publicFundingAvailableDeMinimisMax
descriptionsContent[]

pieces of relevant text content for results with respect to full-text search on public funding free-text fields (with optional highlight of the match).

- publicFundingDescriptionsContent publicFundingDescriptionsContentTag publicFundingDescriptionsContentTagStart publicFundingDescriptionsContentTagEnd
received

do we have any information that the company received any public funding?

- publicFunding
receivedCovidRelated

do we have any information that the company received any public funding due to Covid 19?

- publicFundingCovidRelated
receivedNominalAmount

total nominal amount (Importo Nominale in Italian) summed across all instances of public funding granted to the company in the last 3 financial years.

When using the publicFundingReceivedTheme this value represents only the total nominal amount for the public fundings related to that theme.

- publicFundingReceivedNominalMin publicFundingReceivedNominalMax publicFundingReceivedTheme
receivedThemes[]

list of themes as provided by OpenCoesione related to the public funding instances a company applied for in the last 3 financial years. When the information is originally missing at the public funding level, we might infer it via our Machine Learning model.

- publicFundingReceivedTheme
receivedThemes[].id

theme identifier

"string" -
receivedThemes[].name

short description of the theme

"string" -
receivedTypesLast3y[]

list of procedure types related to the public funding instances a company applied for in the last 3 financial years.

- publicFundingTypesLast3y publicFundingTypesLast3yExclude
Example JSON fragment for package
{
"received": false,
"receivedCovidRelated": false,
"receivedTypesLast3y": [
"COVID-19",
...
],
"availableCovid": 0.42,
"availableDeMinimis": 0.42,
"receivedNominalAmount": 0.42,
"receivedThemes": [
{
"id": "occupation",
"name": "Employment"
},
...
],
"descriptionsContent": [
"foo",
...
]
}