Public Company Reporting Window Finder

Public Company Reporting Window Finder

Enables users to look up public company earnings dates and reporting windows by providing identifiers like ticker, domain, or CIK. It returns fiscal year end, next reporting date, and an outreach window, helping plan investor communications.

Category
Visit Server

README

Public Company Earnings Dates and Reporting Window Finder MCP Server

smithery badge

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured