Firecrawl Alexandria

Fiscal.ai

Name: Fiscal.ai
Creator: Fiscal.ai

Company fundamentals with the record around them: standardized and as-reported statements, ratios, ownership, prices, earnings call transcripts, and what fund letters say about a company.

12 Firecrawl tools use Fiscal.ai

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What did Microsoft on NASDAQ report on its latest quarterly income statement, using standardized metrics in USD?

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const result = await firecrawl.scrape({
  alexandria: {
    provider: "fiscal-ai",
    capability: "financials/cash-flow-statement",
    options: {
      ticker: "AAPL",
      periodType: "annual",
    },
  },
});

2Response example

This is a sample shape. Press Run to see live data from Fiscal.ai.

{
  "reportingTemplate": "<reportingTemplate>",
  "metrics": [],
  "data": []
}

Firecrawl tools

Ready-made Firecrawl tools that call Fiscal.ai.

Earnings preview packUse before a company reports, in the week ahead of the print, when an equity analyst or portfolio manager needs a one-page preview. Pulls the confirmed date, the KPIs that drive the stock, what management promised last call, where consensus and target changes stand, and options positioning, producing the setup and the three numbers that matter.7 toolsOpen

FX headwind estimateUse before earnings or a guidance update when an analyst needs the currency translation effect on a multinational's revenue. Splits revenue by geography, applies the quarter's average moves in each relevant currency pair, cross-checks the broad dollar index, and compares with management's FX guidance, producing a per-region translation estimate.5 toolsOpen

Guidance hit-rate scorecardUse when an equity research associate or buy-side analyst needs to know how reliable a management team's guidance has been before trusting the new outlook. Reads several quarters of earnings call transcripts for stated guidance, compares each with reported results and adjusted metrics, and notes analyst reactions, producing a hit-rate scorecard.6 toolsOpen

Refinancing wall checkUse when a credit analyst, lender or corporate treasurer needs to know whether a company can refinance its upcoming maturities. Lists debt and cash, reads the maturity schedule and recent credit agreement changes in filings, and prices today's rate path and spreads, producing a maturity ladder with refinancing cost scenarios.6 toolsOpen

Earnings claims vs hiring checkUse after an earnings call when an analyst wants to test whether management is really investing where it says it is. Pulls the strategic claims from the transcript, counts open roles by team, keyword and location on the company's own Workday or Greenhouse career site, and compares with segment trends, producing a say-versus-do table.5 toolsOpen

Activist stake follow-upUse when a new Schedule 13D lands and an analyst, investor relations team or banker needs to know what the activist wants and how it usually plays out. Reads the filing's purpose, profiles the activist from its letters and other holdings, benchmarks the target's valuation, and checks for deal chatter, producing a campaign brief.8 toolsOpen

Audit planning risk scan for a listed clientUse when an audit senior or audit manager plans the year-end audit of a listed client and needs an outside-in view of where material misstatement risk sits. Reads risk factors and MD&A changes, unusual balance sheet moves, auditor and officer change filings, litigation and short reports, producing a planning memo of risk areas.7 toolsOpen

Federal revenue dependence checkUse when an investor or credit analyst needs to know how much a listed company depends on US government contracts. Totals federal obligations across the parent and its subsidiaries, finds the biggest contracts ending soonest and their agencies, and compares with reported revenue and risk-factor language, producing a concentration and recompete-risk view.5 toolsOpen

Smart money convergenceUse when a portfolio manager wants idea generation from a fund they respect. Diffs that fund's last two 13F filings, then keeps only new or increased positions where insiders are also buying with their own money and fund letters carry a written thesis, producing a short list ranked by how many independent signals agree.5 toolsOpen

Benchmarks

Finance benchmarks

Quality, speed and cost, last 24 hours, across every agent call to Fiscal.ai through Alexandria.

Quality: 99.3%; Calls answered without a tool error
Speed: 1.9 s; 95% of successful calls finish faster
Cost: 0–30 credits; Firecrawl credits per call
Calls: 1.2K; Last 24 hours, every Alexandria user

Quality and speed of each tool, last 24 hours
Tool	Quality	Speed	Calls
Fund letter	100%	414 ms	401
Daily prices	98.8%	1.1 s	165
Income statement	100%	2.0 s	96
Cash flow statement	100%	3.2 s	77
Institutional holders	100%	1.9 s	58
Company directory	100%	717 ms	55
Fund letters	100%	682 ms	54
Earnings call transcript	100%	531 ms	51
Insider transactions	100%	3.2 s	48
Balance sheet	100%	792 ms	42
Earnings calendar	100%	12.4 s	39
Intraday prices	85.2%	457 ms	27
Segments and KPIs	100%	1.2 s	26
IR event resources	100%	792 ms	24

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