CO Companies Formed in the Last 30 Days Look Like
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CO Companies Formed in the Last 30 Days Look Like
350 rows, built to answer one question: Which CO companies formed in the last 30 days look like real operating businesses? Four transparent yes/no signals on every row separate companies that are really trading from the paperwork shells that make raw new-company lists worthless.
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Pay per usage
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dataplace
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CO Companies Formed in the Last 30 Days Look Like Real Operating Businesses
350 rows, built to answer one question: Which CO companies formed in the last 30 days look like real operating businesses? Four transparent yes/no signals on every row separate companies that are really trading from the paperwork shells that make raw new-company lists worthless.
Filter via the Actor input; data refreshed with each new build (check the build date above).
- address
- agent city
- city
- days since formation
- entity ID co
- entity status
- entity type code
- formation date
- latest filing type
- looks operating
- name
- operating signal count
- post formation filings
- registered agent
- signal corporate form
- signal owner is agent
- signal post formation filing
- signal registered trade name
- signal street address
- state
- ZIP code
What one result contains
One result = one record (one JSON object pushed to your dataset). Every record carries these 23 fields: entity_id, address, agent_city, city, days_since_formation, entity_id_co, entity_status, entity_type_code, formation_date, kind, latest_filing_type, looks_operating, name, operating_signal_count, post_formation_filings, registered_agent, signal_corporate_form, signal_owner_is_agent, signal_post_formation_filing, signal_registered_dba, signal_street_address, state, zip.
Example shape:
{"entity_id": "...","address": "...","agent_city": "...","city": "...","days_since_formation": "...","entity_id_co": "..."}
You are charged once per record returned — no records, no charge.


