Company Data API: Enrich Your Business Data

A business record is more useful when it contains enough context to support the next decision. Missing details, inconsistent names, and outdated information can make sales research and market analysis harder than they need to be.

A company data API gives software a structured way to request business information. Data enrichment uses that information to supplement existing records, while verification checks whether the information fits the company you intended to research. Together, these practices can make business data easier to evaluate and use.

Build a More Complete Business Record

Start with a specific research question rather than collecting every available field. A sales research team might need to distinguish similarly named businesses; a market research team might need consistent company details for its analysis.

Identify which fields your workflow needs, then check the provider’s documentation for availability, definitions, and permitted use. Keep the original record alongside any proposed additions. An enriched record should show what changed and why, rather than silently replacing information your team already trusts.

Build a More Complete Business Record — sculptural glass business records

Match the Company Before Adding Data

A similar business name is a starting point, not proof of a match. Compare the identifying details available in both records, such as a name and location, and account for naming variations.

Use a clear review process:

  • Normalize formatting before comparing records.
  • Compare more than one identifying detail when available.
  • Flag conflicting or ambiguous matches for review.
  • Leave uncertain fields unresolved rather than guessing.

 

Separate matching from enrichment so a mistaken match does not spread through downstream research.

Make Enrichment a Traceable Workflow

Plan how information moves from an API response into your working records. Define field mappings, validation rules, and how your application handles an empty response or request failure. Confirm the technical details in the provider’s documentation before implementation.

Record when a check occurred and retain source references when available. Route conflicting values for review and establish rules for refreshing records. These are workflow design choices for your team to implement, not assumptions about what an API automatically does.

Make Enrichment a Traceable Workflow — glass records linked by a sculptural ribbon

Where EnformionGO Fits

EnformionGO is a data intelligence platform providing real-time access to identity, people, business, asset, and court record data through self-service searches and API integrations. It draws on more than 6,000 unique data sources for public-record inquiries and cross-referencing existing data.

For business research, use EnformionGO to explore relevant information and cross-reference existing records. Check the available documentation to determine whether the data and API options fit your enrichment requirements. Explore EnformionGO to begin evaluating a workflow for your team.

Start with a Focused Data Review

Choose a small set of business records and define what a useful enrichment result looks like. Review match quality, unresolved conflicts, and whether the added information answers your original research question. Expand the workflow only after you understand those results.

A repeatable process combines relevant data with careful matching and human review where needed. Use the guidance below to become familiar with EnformionGO’s search and API products, and Get Started.

Enformiongo api documentation readme

Getting familiar with how to use EnformionGO’s search and API products is very helpful in deciding what products you’ll want to use. We’ve created this quick start guide to walk new users through how to use EnformionGO. Happy searching!

Pro License Data

Filter Pro License Data using the fields below.

  • License Status
    • Multi select
      Description: Select the license status(es) you want to target. You can select more than one


  • License Issuing State
    • Multi select
      Description: Select the license issuing state(s) you want to target. You can select more than one.


  • License Issuing Date Range
    • Select the date range for when the target matches had their license issued.
  • License Expiration Date Range
    • Select the date range for when the target matches had their license expire.

Workplace & Corporation Data

Filter Workplace Data using the fields below.

  • Years at Company
    • Field type: input
    • Description: Enter the number of years at a company for your target matches.
  • Job Title Level
    • Multi select
      Description: Select the job title level(s) you want to target. You can select more than one.
  • Department
    • Multi select
      Description: Select the department(s) you want to target. You can select more than one.
  • Company Revenue Range
    • Field type: range – min/max ($0 – $100,000,000)
    • Description: Set the company revenue range for your matches
  • Company Size
    • Field type: range – min/max (0 – 10,000)
    • Description: Set the company size range for your matches
  • Office Location City
    • Field type: input
    • Description: Enter the office location city name you want to target
 
  • Office Location County
    • Field type: input
    • Description: Enter the office location county name you want to target
  • Office Location State
    • Field type: Multi-select
    • Description: Select the office location state(s) you want to target. You can select more than one.
  • Office Location Zip
    • Field type: input
    • Description: Enter the office location zip code you want to target

Property Data

Filter Property Data using the fields below.

  • Number of Property Owners
    • Field type: range – min/max (0 – 50)
    • Description: Set the range of the number of owners for one of the properties linked to each match you want to target
  • Land Use Code
    • Field type: input
    • Description: Enter the land use code (number only) for one of the properties linked to each match you want to target. For example, for “1100: Single-Family Home” you would enter “1100”
  • Total Square Footage
    • Field type: input
    • Description: Enter the total square footage (number only) for one of the properties linked to each match you want to target

  • Property Value
    • Field type: range – min/max (0 – 10 million)
    • Description: Set the range of the property value for one of the properties linked to each match you want to target
  • Mortgage Amount
    • Field type: input
    • Description: Enter the mortgage amount (number only) for one of the properties linked to each match you want to target
  • Purchase Date
    • Field type: input
    • Description: Enter the purchase date (number only) for one of the properties linked to each match you want to target
  • Property Type
    • Multi select
      Description: Select the property type(s) you want to target. You can select more than one.
  • Owner Type
    • Multi select
      Description: Select the owner type(s) you want to target. You can select more than one.
  • Owner Status
    • Multi select
      Description: Select the owner status(es) you want to target. You can select more than one.
  • Owner Occupied
    • Field type: Boolean
    • Description: Select if you require for one of the properties to be owner-occupied

Consumer Insights Data

Filter Consumer Insights Data using the fields below.

  • Presence of Children
    • Field type: Boolean
    • Description: Select if you require matches with children present in the household
    •  
  • Credit Card Holder
    • Field type: Boolean
    • Description: Select if you require matches to be a credit card holder
  • Interest in Travel
    • Field type: Boolean
    • Description: Select if you require matches to be interested in travel
  • Interest in Cooking
    • Field type: Boolean
    • Description: Select if you require matches to be interested in cooking
  • Interest in Reading
    • Field type: Boolean
    • Description: Select if you require matches to be interested in reading


  • Smoker
    • Field type: Boolean
    • Description: Select if you require matches to be a smoker
  • Exercise Enthusiast
    • Field type: Boolean
    • Description: Select if you require matches to be an exercise enthusiast
  • Exercise with Running
    • Field type: Boolean
    • Description: Select if you require matches who run for exercise
  • Exercise with Walking
    • Field type: Boolean
    • Description: Select if you require matches who walk for exercise
  • Does Aerobic Exercise
    • Field type: Boolean
    • Description: Select if you require matches who do aerobic exercise
  • Into Camping / Hiking
    • Field type: Boolean
    • Description: Select if you require matches who are interested in camping / hiking 
  • Into Natural Foods
    • Field type: Boolean
    • Description: Select if you require matches who are interested in natural foods
  • Into Beauty Health
    • Field type: Boolean
    • Description: Select if you require matches who are interested in health / beauty
  • Into Medical Health
    • Field type: Boolean
    • Description: Select if you require matches who are interested in health / medicine
  • Into the Outdoors
    • Field type: Boolean
    • Description: Select if you require matches who are interested in the outdoors
  • Into Sporty Living
    • Field type: Boolean
    • Description: Select if you require matches who are interested in the outdoors

Location Data

Filter Location Data using the fields below.

  • City
    • Field type: input
    • Description: Enter the city name you want to target
  • County
    • Field type: input
    • Description: Enter the county name you want to target
  • State
    • Field type: Multi-select
    • Description: Select the state(s) you want to target. You can select more than one.
  • Zip
    • Field type: input
    • Description: Enter the zip code you want to target
  • Population Designation
    • Field type: Multi-select
    • Description: Select the population type(s) you want to target. You can select more than one.

Person Data

Filter Person Data using the fields below.

  • Age
    • Field type: range – min/max (18 – 120)
    • Description: Set the age range for your matches
  • Education Level
    • Multi select
      Description: Select the education level(s) you want to target. You can select more than one.
  • Credit Score
    • Field type: range – min/max (0 – 850)
    • Description: Set the credit score range for your matches
  • Estimated Income
    • Field type: range – min/max ($0 – $250,000)
    • Description: Set the income range for your matches. Max setting is $250,000+.
  • Number of Properties Owned
    • Field type: range – min/max (0 – 50)
    • Description: Set the owned properties range for your matches
  • Occupation Level
    • Multi select
      Description: Select the occupation level(s) you want to target. You can select more than one.
  • Marital Status
    • Multi select
      Description: Select the marital status(es) you want to target. You can select more than one.
  • Gender
    • Multi select
      Description: Select the gender(s) you want to target. You can select more than one. Default is all.