Bigdata Com

Skills (27)

Claude uses these on its own when your request matches.

• bigdata-catalyst-monitorMap the dated events that could move a public company over the next few quarters, using Bigdata.com data (events calendar, filings, news, tearsheet). Covers scheduled catalysts — earnings, investor days, index reviews, lock-up and patent expiries, regulatory decision dates —…
• bigdata-company-briefGenerate a company brief — a cited 30-day summary of what happened at a public company and why it matters — using Bigdata.com data (news, filings, transcripts, tearsheet financials). Findings are categorized into financial results, product and tech launches, M&A and…
• bigdata-country-analysisProduce a deep country economic analysis using Bigdata.com data — GDP, inflation, monetary policy, labor markets, debt mechanics, and investment implications. Goes beyond a point-in-time snapshot: structural and historical context (sector transformation, labor productivity),…
• bigdata-country-sector-analysisAnalyze a specific sector inside a specific country or region using Bigdata.com data — combining the macroeconomic backdrop (GDP, inflation, rates, policy), country-specific sector trends and valuations, fundamentals of country-domiciled sector leaders confirmed by geographic…
• bigdata-cross-sectorCompare two or more sectors using Bigdata.com data — relative valuations, earnings growth, analyst sentiment, and where each sits in the economic cycle — and turn that into a rotation call with overweight and underweight recommendations. Includes bellwether-level fundamentals…
• bigdata-earnings-digestAnalyze a public company's latest reported earnings — a cited post-print digest using Bigdata.com data (results, consensus and surprise, transcript, analyst reactions, tearsheet financials). Breaks down revenue and margins, segment and operating KPIs, management guidance, cash…
• bigdata-earnings-previewCreate a forward-looking earnings preview for a public company ahead of its next earnings call, using Bigdata.com data (estimates, tearsheet financials, news, filings, transcripts, events calendar). Produces an EPIC driver table, earnings quality screen with forward watch-fors,…
• bigdata-earnings-quality-screenScreen a public company's reported earnings for quality and accounting red flags using Bigdata.com data and filings. Covers cash conversion (OCF/NI, FCF/NI across periods), accruals and the balance-sheet accrual ratio, working-capital signals (DSO, DIO, DPO versus revenue…
• bigdata-earnings-reactionWrite a tight post-earnings reaction note using Bigdata.com data — headline numbers versus consensus with beat/miss magnitude, what mattered on both sides, a prior-versus-new guidance table, an explicit thesis check (Intact / Strengthened / Weakened / Broken) with evidence, the…
• bigdata-g7-comparisonBenchmark the seven G7 economies side by side using Bigdata.com data — the United States, Japan, Germany, the United Kingdom, France, Italy, and Canada. Produces a like-for-like indicator table (GDP, inflation, unemployment, policy rate, fiscal position), central bank stance…
• bigdata-investment-memoWrite a full institutional investment memo on a public company using Bigdata.com data — thesis, variant perception versus consensus, valuation, risks, catalysts, and an explicit recommendation with conviction. Runs the complete workflow: EPIC-filtered primary drivers, FaVeS…
• bigdata-moat-governance-reviewAssess how durable a public company's competitive advantage is and whether management can be trusted with the capital, using Bigdata.com data. Covers moat identification by type with evidence, moat strength via ROIC versus WACC, pricing power and share trend, a competitive…
• bigdata-peer-comparablesCompare a public company against its peer set using Bigdata.com data — valuation multiples, growth, profitability, returns, leverage, and sentiment — to judge relative attractiveness. Builds the peer set with an explicit rationale for inclusion and exclusion, tabulates…
• bigdata-post-ipo-day1Write a first-trading-day post-IPO reaction note for a newly listed company using Bigdata.com data plus web market data. Anchors the deal (offer price vs range, shares, greenshoe, implied market cap), reconstructs day 1 (open, intraday range, close, volume, first-day return),…
• bigdata-post-ipo-day14Write a day-14 post-IPO note on potential NASDAQ-100 fast-track index inclusion for a recently listed large-cap, using Bigdata.com data plus web search for index methodology and market data. Covers two-week trading status, an eligibility check against Nasdaq's current published…
• bigdata-post-ipo-day179Write a day-179 post-IPO note on the 180-day lock-up expiry using Bigdata.com data plus filings and market data. Covers lock-up terms from the prospectus (expiry date, covered holders, share count, early-release provisions), float and overhang math (post-expiry float,…
• bigdata-post-ipo-day365Write a day-365 post-IPO note on the 366-day founder and significant-investor lock-up expiry and float expansion toward 15-20%, using Bigdata.com data plus filings and market data. Covers the staggered lock-up structure from the prospectus, float expansion math and…
• bigdata-pre-ipo-analysisProduce a balanced pre-IPO research note on an upcoming, not-yet-listed company using its S-1/F-1 plus Bigdata.com data. Covers deal structure (price range, shares, greenshoe, implied valuation, underwriters, lock-ups, share classes), two years plus interim financials, business…
• bigdata-quick-takeGive a fast, PM-style quick take on a stock using Bigdata.com data — a one-line current view, the 2-3 drivers that actually matter right now, the key risks and what would change the view, and the near-term setup with the next catalyst. Deliberately short: one page, no full…
• bigdata-regional-comparisonCompare regions or blocs using Bigdata.com data — economic indicators, market performance, and cross-asset views — and turn that into an allocation recommendation. Covers growth, inflation, policy and labor per region, comparative developed-versus-emerging analysis, regional…
• bigdata-risk-assessmentProduce a comprehensive risk assessment for a public company using Bigdata.com data (10-K risk factors, 8-K material events, news, tearsheet financials). Covers six categories — regulatory and legal, competitive and moat erosion, operational, financial and balance sheet, macro,…
• bigdata-scenario-analysisBuild bull, base, and bear cases for a public company using Bigdata.com data — with explicit line-item assumptions, justified probability weights summing to 100%, a value or price per scenario with the bridge shown, a probability-weighted expected value and expected return…
• bigdata-sector-analysisAnalyze a market sector using Bigdata.com data — performance, valuations, themes, sub-industries, and upcoming catalysts. Maps the sector to its own operating and valuation KPIs rather than generic P/E, reads cycle and profitability positioning as early, mid, or late versus…
• bigdata-sector-playbookBuild an actionable investment playbook for a sector using Bigdata.com data and sector-specific frameworks — the KPIs that actually matter in that sector, how to value companies in it and why, the live debates and where consensus sits on each, valuation context against the…
• bigdata-thematic-researchResearch a macro investment theme using Bigdata.com data — scope and sub-themes, investment implications, sector impact, named beneficiaries and vulnerable losers with tearsheet fundamentals, the policy and regulatory dimension, geographic impact, and concrete implementation…
• bigdata-valuation-snapshotAnswer what a public company is worth and whether it is cheap or expensive, using Bigdata.com data (tearsheet multiples, estimates, margins, peer context). Produces a multiples cross-check against the company's own history and peer median, an implied-expectations read on what…
• bigdata-variant-perceptionState explicitly where your view on a public company differs from consensus, using Bigdata.com data. Establishes the consensus baseline from estimates and sell-side posture, applies the EPIC filter to candidate differentiators, frames the view on FaVeS (fundamentals, valuation,…

MCP server

Added to Claude Code when you install the plugin. You sign in to Bigdata Com the first time it is used.

• bigdata.comRemotehttps://mcp.bigdata.com

Install

claude plugin install bigdata-com@claude-plugins-official

/plugin install bigdata-com@claude-plugins-official