Bigdata.com remote MCP server and plugins: licensed, cited financial data for AI agents in VS Code, Copilot, Claude, Cursor, ChatGPT and Codex.
Install
npx skills add Bigdata-com/bigdata-plugins-marketplacegh skill install Bigdata-com/bigdata-plugins-marketplacegit clone --depth 1 https://github.com/Bigdata-com/bigdata-plugins-marketplaceSkills in this collection
- BigdataBigdata.comResearch any company, security, sector, country, market or economy with Bigdata.com data, and turn a research task the user repeats into a skill of their own. Use when the user types /bigdata or names Bigdata.com, asks what Bigdata.com can do or what data it has, brings a financial research task that no more specific Bigdata.com skill covers, or wants to build their own skill.
- Bigdata Catalyst MonitorBigdata.comMap 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 — and foreseeable unscheduled ones — litigation milestones, product cycles, contract renewals, refinancings.
- Bigdata Company BriefBigdata.comGenerate 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 partnerships, regulatory and legal, management changes, and other material events, each with date, facts, and a bullish/bearish/neut…
- Bigdata Country AnalysisBigdata.comProduce 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), debt composition and servicing, tax-to-GDP and public financial management, a substantive macro-and-micro labor section…
- Bigdata Country Sector AnalysisBigdata.comAnalyze 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 revenue exposure, the policy and regulatory environment including subsidies, tariffs and foreign-investment rules, and…
- Bigdata Cross SectorBigdata.comCompare 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.
- Bigdata Earnings DigestBigdata.comAnalyze 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 flow and balance sheet, and surprises versus expectations with sustainable-vs-one-time framing, plus a bull/bear thesis…
- Bigdata Earnings PreviewBigdata.comCreate 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, structured sentiment and positioning data, what's priced in plus valuation cross-check, FaVeS variant perception, bull…
- Bigdata Earnings Quality ScreenBigdata.comScreen 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 growth), revenue-recognition and capitalization flags, the GAAP versus non-GAAP gap and the nature of the add-backs, and an…
- Bigdata Earnings ReactionBigdata.comWrite 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 estimate and price-target revisions the print forces, a pre-versus-post valuation update, quality signals for the…
- Bigdata G7 ComparisonBigdata.comBenchmark 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 and rate-path divergence across the Fed, BoJ, ECB, BoE and BoC, relative market positioning across equities, rates and…
- Bigdata Investment MemoBigdata.comWrite 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.
- Bigdata Moat Governance ReviewBigdata.comAssess 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 advantage period estimate with erosion signals, industry structure via five forces, the capital allocation track record…
- Bigdata Peer ComparablesBigdata.comCompare 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 like-for-like metrics with peer median and quartile positioning, decomposes any premium or discount into what fundamentals…
- Bigdata Post Ipo Day1Bigdata.comWrite 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), reads demand and float mechanics including stabilization, resets valuation against peers at the close, notes the…
- Bigdata Post Ipo Day14Bigdata.comWrite 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 rules (cited, never assumed), a float-adjusted index weight and implied passive-demand estimate with the math shown…
- Bigdata Post Ipo Day179Bigdata.comWrite 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, days-to-trade versus ADV), insider and VC selling-intention signals, positioning into the event (short interest, borrow, options…
- Bigdata Post Ipo Day365Bigdata.comWrite 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 days-to-trade, the offsetting float-adjusted index reweight demand netted against new supply, a realistic read on whether founders…
- Bigdata Pre Ipo AnalysisBigdata.comProduce 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 model and funding history, TAM and listed comparables, IPO-window conditions, and 90-day sentiment — closing with bull…
- Bigdata Quick TakeBigdata.comGive 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 thesis, no model.
- Bigdata Regional ComparisonBigdata.comCompare 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 equity valuations, and fixed income and currency views for each.
- Bigdata Risk AssessmentBigdata.comProduce 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, and management and governance — each rated by likelihood and impact, with a distress screen when leverage is stretched…
- Bigdata Scenario AnalysisBigdata.comBuild 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 versus spot, the upside/downside skew and risk-reward ratio, and what would move probability between the cases.
- Bigdata Sector AnalysisBigdata.comAnalyze 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 history, aggregates bellwether tearsheet metrics, and closes with a positioning call plus top picks and areas to avoid.
- Bigdata Sector PlaybookBigdata.comBuild 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 sector's own history, a sub-industry map with cycle position, screening criteria and sector-specific red flags, and an…
- Bigdata Thematic ResearchBigdata.comResearch 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 ideas.
- Bigdata Valuation SnapshotBigdata.comAnswer 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 the current price already embeds (reverse-DCF reasoning, no model build required), the 2-3 value drivers that dominate…
- Bigdata Variant PerceptionBigdata.comState 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, sentiment), and states the variant view as a specific, falsifiable claim with a time horizon — plus what the market is…