ClaudeSuperPower

bigdata-com

Plugin

Official Bigdata.com plugin providing financial research, analytics, and intelligence tools powered by Bigdata MCP.

Install

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

What is bigdata-com?

Official Bigdata.com plugin providing financial research, analytics, and intelligence tools powered by Bigdata MCP.

What's inside

28 bundled components — installing the plugin installs all of them.

Commands (27)

catalyst-monitor

/catalyst-monitor

Map upcoming catalysts, likely market implications, and watch points for a company over the next quarters.

company-brief

/company-brief

Generate a comprehensive 30-day summary of recent developments for a specified company.

country-analysis

/country-analysis

Generate a comprehensive economic analysis for a country covering GDP, inflation, monetary policy, labor markets, and investment implications.

country-sector-analysis

/country-sector-analysis

Macro analysis combining a specific sector with a specific country or region, covering economic backdrop, sector trends, and company fundamentals.

cross-sector

/cross-sector

Compare sectors on valuations, earnings growth, and cycle positioning with rotation recommendations.

earnings-digest

/earnings-digest

Analyze the latest earnings results with detailed breakdown of revenue, margins, segment performance, management guidance, and surprises.

earnings-preview

/earnings-preview

Create a forward-looking pre-earnings analysis with recent developments, industry trends, bull/bear cases, and key metrics to watch.

earnings-quality-screen

/earnings-quality-screen

Run an earnings quality screen covering cash conversion, accruals, and accounting red flags.

earnings-reaction

/earnings-reaction

Generate a post-earnings reaction note covering results vs expectations, guidance changes, sentiment, and revised view.

g7-comparison

/g7-comparison

Compare G7 economies across growth, inflation, policy, market positioning, and investment implications.

investment-memo

/investment-memo

Produce a full investment memo with thesis, variant perception, valuation, risks, catalysts, and recommendation.

moat-governance-review

/moat-governance-review

Assess competitive moat durability and management quality, including capital allocation and governance risks.

peer-comparables

/peer-comparables

Compare a company against peers on valuation, growth, profitability, and sentiment to assess relative attractiveness.

post-ipo-day1

/post-ipo-day1

First-trading-day post-IPO reaction note — price discovery vs the offer, demand and stabilization signals, valuation reset, and the post-IPO timeline. Balanced, no buy/avoid call.

post-ipo-day14

/post-ipo-day14

Day-14 post-IPO note on potential NASDAQ-100 fast-track inclusion — stock status, eligibility, estimated passive-flow demand, and the index effect. Balanced, no buy/avoid call.

post-ipo-day179

/post-ipo-day179

Day-179 post-IPO note on the 180-day lock-up expiry — shares unlocking, float expansion, days-to-trade overhang, insider selling signals, and the historical lock-up effect. Balanced, no buy/avoid call.

post-ipo-day365

/post-ipo-day365

Day-365 post-IPO note on the 366-day founder/significant-investor lock-up expiry and float expansion toward 15-20% — new supply vs float-adjusted index reweight demand, governance, and the setup. Balanced, no buy/avoid call.

pre-ipo-analysis

/pre-ipo-analysis

Produce a balanced pre-IPO research note on an upcoming listing — deal structure, financials, valuation framing, and bull/bear debates, with no buy/avoid call.

quick-take

/quick-take

Create a concise PM-style quick take with current view, key drivers, risks, and near-term setup.

regional-comparison

/regional-comparison

Compare regions on economic indicators, market performance, and allocation recommendations.

risk-assessment

/risk-assessment

Comprehensive risk analysis covering regulatory, competitive, operational, financial, and macro risks with likelihood and impact ratings.

scenario-analysis

/scenario-analysis

Build bull, base, and bear cases with assumptions, probabilities, and expected value implications.

sector-analysis

/sector-analysis

Analyze a sector's performance, valuations, themes, sub-industries, and upcoming catalysts.

sector-playbook

/sector-playbook

Create a sector investment playbook with key KPIs, debates, valuation context, and actionable setup.

thematic-research

/thematic-research

Research a macro investment theme with sector impact, beneficiaries, and implementation ideas.

valuation-snapshot

/valuation-snapshot

Build a valuation snapshot with key assumptions, bull/base/bear scenarios, and probability-weighted value.

variant-perception

/variant-perception

Define explicit variant perception versus consensus using fundamentals, valuation, and sentiment framing.

What this can do

Capabilities declared by the plugin's own components — read straight from their frontmatter, not inferred.

Inherit all session tools

28 components declare no tool restrictions

~1,011 tokens of context used while enabled, before you invoke anything

Trust

62/100 · Good

4 factors scored below maximum

Unscoped tools

Documentation

README · ~1 min read

Bigdata.com Plugins Marketplace

Official plugins created and maintained by RavenPack for Bigdata.com — the no. 1 platform that powers AI agents for finance.

This repository serves as the registry for all official plugins available in the Bigdata.com marketplace.

Available Plugins

PluginDescriptionDocumentation
bigdata-comMCP tools to retrieve structured and unstructured financial data from Bigdata.com services. Includes the Bigdata MCP Connector and the Financial Research Analyst skill.View docs

About Bigdata.com

Bigdata.com is the definitive data layer for AI in finance. It unifies the world's most valuable financial content — news, filings, transcripts, financials, press releases, expert calls, and more — making it ready for agentic workflows. Features include:

  • Complete content ecosystem: Access premium sources spanning news, regulatory filings, earnings transcripts, and alternative data.

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