com.mambabuilt/mcp-public-company-reporting-window-finder

Public Company Earnings Dates and Reporting Window Finder MCP Server

MCP server for the Mamba Labs Public Company Earnings Dates and Reporting Window Finder actor on Apify.

Give it a domain, ticker, ISIN, LEI or CIK and it tells you when that public company reports, and when to reach out around it: fiscal year end, reporting cadence, the next reporting date, days to event, and the open and close of an outreach window you define.

Timing rows cover US companies only. Identity, venue and classification resolve worldwide across the publishable universe. Reporting dates come from US SEC filing history and exist for US companies alone. A non US company resolves fully and returns a stated timing_unavailable_reason rather than a guessed date, and is still charged as a timing row because the lookup ran.

Five tools, one per actor mode

Tool	Takes	Returns
resolve_company	identifiers	identity and venue, 44 fields
qualify_company	identifiers	a listed status verdict
get_reporting_timing	identifiers	fiscal year end, cadence, next event, the outreach window, 75 fields
build_company_universe	filters	a company list
get_reporting_season	filters	reporting load per week or month

You never pass mode. Each tool sets it, and each tool exposes only the inputs its mode actually uses.

build_company_universe and get_reporting_season build a list from filters and do not accept company identifiers. Set limit explicitly on both: it defaults to 1000 and you are charged per row returned.

Install

{
  "mcpServers": {
    "mamba-public-company-reporting-window-finder": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-public-company-reporting-window-finder"],
      "env": { "APIFY_TOKEN": "your-apify-token" }
    }
  }
}

Get a token at console.apify.com/account/integrations.

Reading the output

Dates are predicted, not announced. next_event_is_estimate is true for a date derived from filing history. confidence_band sits at 0.80 and 0.50, computed on the weakest link in the chain, so confidence_effective is the minimum of the event and cadence confidences rather than an average.

window_status is the field to filter on. It is open, not_yet, closed_passed or no_event against today. no_event is the state a company lands in when there is no reporting event to build a window from.

Unknown cadence is refused, not guessed. A company whose filing history is too short or irregular returns a null cadence with a reason instead of an invented date.

A row that resolves nothing is still billed. An identifier that matches no public company returns match_method of no_match with every other field null. That is a real answer and the lookup ran to produce it.

Cost

Pay per event on Apify, charged for rows returned rather than rows filtered out.

Event	Price
Company resolved	$0.006 per row
Timing row returned	$0.012 per row
Reporting season aggregate	$0.05 per row
Actor start	$0.00005 per run

Volume discounts of 5, 10 and 15 percent apply on the Apify Bronze, Silver and Gold plans. A timing row is never additionally charged as a resolved company.

Part of the Mamba Labs GTM Suite

Browse the full suite on Apify.

License

MIT