Plataforma de pesquisa financeira para buscar, analisar e citar documentos públicos, com conector MCP para usar dados financeiros citados no Claude e ChatGPT.
Fira is a financial research platform built to help analysts search, analyze, and cite information from public company filings and related source documents. It combines preloaded market data and public filings with connected firm data so users can research companies, compare peers, and verify numbers in one workspace.
The product is aimed at finance workflows that involve long reports, complex tables, Excel files, and multiple source types. The site emphasizes cited answers, inline source previews, and exportable outputs so users can move from research to validation and deliverables without manually stitching together evidence from separate tools.
Search across thousands of filings, presentations, spreadsheets, and transcripts without losing track of the original sources. The platform is positioned for multi-document research rather than single-file question answering.
Every answer is linked to evidence, with citations down to the specific cell, row, or paragraph. Users can preview the source inline and verify the underlying document before exporting or sharing.
The product reads complex tables, nested spreadsheets, scanned PDFs, and footnotes that generic AI tools often miss. This is central to its handling of filings and models.
Fira can turn extracted financials into Excel-friendly output and preserve formatting when copying or exporting figures. The site also highlights Excel workflows such as EV bridges, trading comps, and model verification.
Fira brings together public datasets and user-connected sources such as Google Drive, OneDrive, SharePoint, and Box. It also lists SEC filings, UK Companies House, market data, broker research, web and news, and YouTube transcripts as available data sources.
Fira MCP is presented as a connector that makes Fira’s cited financial data available inside AI assistants like Claude and ChatGPT. The site frames this as an auditable research workflow in the user’s existing assistant.
Compare a company against peers by pulling revenue, margins, key metrics, and valuation data directly from source filings, then generate Excel-friendly output for further analysis.
Build valuation bridges and other model inputs from filing-backed data, including market cap to enterprise value calculations and related balance sheet adjustments.
Check presentation figures against SEC filings and earnings releases to find mismatches and produce a verification table with source references.
Research across internal documents, data rooms, filings, transcripts, and external datasets in one workspace when the question spans more than one source type.
Use Fira MCP to bring cited financial data into Claude or ChatGPT when you want to stay inside an existing assistant while keeping the research grounded in original sources.
Fira is built for financial research workflows that rely on public filings, transcripts, market data, and internal documents. It is designed to return answers with citations so users can verify the source material behind each result.
The source pages show a web platform and a connector experience through Fira MCP. MCP is presented as a way to bring Fira’s financial data into AI assistants such as Claude and ChatGPT, while the web product also supports export to Excel.
Fira supports a mix of public datasets and connected firm data. The source pages mention SEC filings, UK Companies House, market data, earnings call transcripts, international filings, and connections to Google Drive, OneDrive, SharePoint, and Box.
The pricing page shows Free, Pro, and Enterprise plans. Free is positioned for trying the product, Pro for individual unlimited use, and Enterprise for teams that need SSO, custom integrations, and account support.
Fira’s source pages describe citations, source previews, export to Excel, and data connections, but they do not provide full setup documentation for every integration on the pages provided.
Os dados de tráfego são apenas para referência.
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