metadata

icon: file-signature
description: >-
  The government spending data provides comprehensive information about
  government contracts, transactions, product specifications, entity details,
  locations, competition, and compensation.

Government Contracts

Data Notice: This dataset provides academic research access with a 6-month data lag. For real-time data access, please visit sov.ai to subscribe. For market insights and additional subscription options, check out our newsletter at blog.sov.ai.

from datasets import load_dataset
df_contracts = load_dataset("sovai/government_contracts", split="train").to_pandas().set_index(["ticker","date"])

Data arrives late Friday night 11 pm - 12 am after market close US-EST time.

Tutorials are the best documentation — Government Contracts Tutorial

Category	Details
Input Datasets	Governmental Filings
Models Used	Parsing, Regex, Entity Recognition
Model Outputs	Standardized Contracts

Description

This dataset provides comprehensive information about government contracts, including details on transactions, product specifications, entities, locations, competition, and compensation.

It offers investors valuable insights into companies' relationships with government agencies, allowing for risk assessment, comparative analysis, and informed decision-making in the context of government spending and contracts.

Data Access

Contracts Data

Data about contract award details, potential total value, federal action obligations, performance duration, and recipient details.

import sovai as sov
df_contracts = sov.data("spending/contracts", tickers=["MSFT","TSLA"])

Transactions Data:

The data includes information about individual transactions related to contracts, such as federal action obligations, transaction descriptions, and last modified dates.

import sovai as sov
df_transactions = sov.data("spending/transactions", tickers=["MSFT","TSLA"])

Product Specifications

Data about the products or services associated with contracts, such as product or service code descriptions, NAICS codes and descriptions, country of origin, and sustainability information.

import sovai as sov
df_product = sov.data("spending/product", tickers=["MSFT","TSLA"])

Entity Specification

Data about the entities involved in contracts, such as recipient unique identifiers, recipient names, parent company details, and matching information with other datasets like Bloomberg.

import sovai as sov
df_entities = sov.data("spending/entities", tickers=["MSFT","TSLA"])

Location Data

Data about the geographical locations associated with contracts, such as recipient country, address, city, county, state, and zip code, as well as the primary place of performance details.

import sovai as sov
df_location = sov.data("spending/location", tickers=["MSFT","TSLA"])

Competition Data:

Data related to the competition aspect of contracts, such as the extent of competition, number of offers received, and solicitation procedures.

import sovai as sov
df_competition = sov.data("spending/competition", tickers=["MSFT","TSLA"])

Compensation Date

Data about the compensation of highly compensated officers in recipient organization, only published voluntarily by a few companies.

import sovai as sov
df_compensation = sov.data("spending/compensation")

Data Dictionaries