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EDGAR Filings Monitor

Pricing

Pay per event

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EDGAR Filings Monitor

EDGAR Filings Monitor

Keyless SEC EDGAR filings monitor for investors, analysts and researchers (no API key): full-text search over public EDGAR filings by query, optional form filter (10-K/10-Q/8-K), or a company's recent filings by CIK. One JSON item per filing: accession, form, filed date, company, CIK, filing URL.

Pricing

Pay per event

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Developer

jedi solana

jedi solana

Maintained by Community

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Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Keyless SEC EDGAR filings monitor for investors, analysts and researchers (no API key): full-text search over public EDGAR filings by query, optional form filter (10-K/10-Q/8-K), or a company's recent filings by CIK. One JSON item per filing: accession, form, filed date, company, CIK, filing URL.

What you get

Every run writes a dataset with one row per record:

{
"accession_no": "0001185185-13-001618",
"form": "8-K",
"filed_at": "2013-08-08",
"company": "Apple REIT Nine, Inc. (APLE) (CIK 0001418121)",
"cik": "0001418121",
"url": "https://www.sec.gov/Archives/edgar/data/1418121/000118518513001618/",
"source": "sec-edgar"
}

Input

{
"query": "Apple",
"form": "8-K",
"limit": 10
}
FieldTypeDescription
querystringQuery: the query parameter. Default: "Apple".
formstringForm: the form parameter. Default: "8-K".
limitintegerLimit: the limit parameter. Default: 10.

Use cases

  • Monitor on a schedule — run this Actor on a timer and get a fresh, normalized snapshot every time; diff the datasets to see what changed.
  • Feed a dashboard or model — clean, one-JSON-item-per-record output is ready to pipe into a spreadsheet, database, or LLM prompt without any post-processing.
  • Research & due diligence — pull a structured set of records for a topic, name, or window without scraping the public source by hand.

Limits & notes

  • No API key, no login: it only reads public endpoints/feeds. If the upstream source is degraded, the run still succeeds and returns an honest status item instead of failing.
  • Results reflect what the public source returned at run time (top-N windows, newest-first where applicable).
  • Pay-per-event: result-item = $0.001 per event ($1.00 per 1,000 events), plus the synthetic apify-actor-start at $5e-05.
  • Free to try on the free plan; PPE pricing applies to paid-plan users.

Categories

BUSINESS, LEAD_GENERATION