Delaware Corporations Search β€” DE Entity Data API avatar

Delaware Corporations Search β€” DE Entity Data API

Pricing

from $100.00 / 1,000 de entity matches

Go to Apify Store
Delaware Corporations Search β€” DE Entity Data API

Delaware Corporations Search β€” DE Entity Data API

Search the Delaware Division of Corporations entity registry. Partial-match name search returns matching DE entities β€” file_number + entity_name. KYC, AML, VC sourcing, M&A. Part of the US state corporate registry family.

Pricing

from $100.00 / 1,000 de entity matches

Rating

0.0

(0)

Developer

NexGenData

NexGenData

Maintained by Community

Actor stats

0

Bookmarked

21

Total users

6

Monthly active users

9 hours ago

Last modified

Categories

Share

Delaware Corporations Search

Search the Delaware Division of Corporations public entity registry by entity name or by Delaware file number β€” live from the official source, one clean JSON record per matching entity.

Factual public records β€” assembled for research and monitoring.

πŸ“Š What you get

One record per matching Delaware entity, with exactly these fields:

  • entity_name β€” Registered entity name, as spelled in the registry
  • file_number β€” Delaware file number (the registry's canonical identifier)
  • search_query β€” The entity name or file number you submitted that produced this record
  • search_type β€” entity_name or file_number
  • state_of_formation β€” Always DE
  • source β€” icis.corp.delaware.gov

This actor returns the registry's search-results listing (file number + entity name). It does not return entity status, formation date, registered agent, entity type, annual-report year or stock details.

▢️ Input

  • entityNames β€” list of names. Delaware matches names that begin with your text (punctuation ignored) and returns at most 50 matches per name; narrow the name if you get exactly 50.
  • fileNumbers β€” list of Delaware file numbers (digits). Exact lookup, one entity each.
  • queries β€” legacy alias of entityNames, kept for backward compatibility.
  • maxEntities β€” ceiling on unique entities delivered per run (1–2000, default 50). A ceiling, not a promise: one matching entity means one record.
{ "entityNames": ["Stripe"], "fileNumbers": ["4056247"], "maxEntities": 100 }

Duplicate searches are removed; an entity found by two overlapping searches is delivered β€” and charged β€” once. A run either delivers its complete result set or fails with no records and no record charges; it never delivers a partial, partially billed dataset. A search with no matches is reported as a genuine no-match (SUCCEEDED, 0 rows, no record charges).

Pricing: $0.10 per delivered unique entity (pay-per-event), plus a $0.00005 actor-start event. 500 delivered entities cost $50.00 before any plan discounts.

πŸ€– Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull official records on demand.

Agentic payments (x402): Supports agentic payment via x402 β€” agents can call this actor with USDC, no API key required.

πŸ‡ΊπŸ‡Έ US State Business Registries β€” full family

Part of the NexGenData US state business-registry family β€” same input shape, same $0.10-per-record pricing:

  • New York β€” 4.27M active entities; official DOS record with registered agent + CEO.
  • Pennsylvania β€” 4.07M records; full registered-officer lists per entity.
  • Colorado β€” 3.10M entities; live entity status + registered agent.
  • Connecticut β€” 1.29M entities; business contact + diversity-ownership flags.
  • Oregon β€” 1.57M entities; registered agent + registry date.
  • Texas β€” 3.42M active franchise-tax permit holders; taxpayer number + right-to-transact status (a tax register, not the SoS corporate registry).

Company records across jurisdictions:

US State Filings Β· India MCA Β· GLEIF LEI Β· UK PSC Β· HK Registry Β· Taiwan MOEA

Government data & filings: Federal Register Β· Treasury Auctions Β· Treasury Yields Β· FEC Expenditures Β· FEC Contributions Β· IRS 990 Β· Nonprofit 990 Records


Public official records and enforcement data, assembled for research and monitoring.