Bundle Featured

Automate Research and Reporting

A research bundle that turns any topic into a synthesized, structured report backed by live web and market data.

Works with bravefirecrawlnotion

91
Spark score
out of 100
Status Verified Official
Updated 4 months ago
Version 1.0.0
Models

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Why it matters

Systematize knowledge and generate comprehensive reports from large volumes of information, ideal for researchers, analysts, and students.

Outcomes

What it gets done

01

Conduct autonomous topic research and information synthesis.

02

Extract and organize web content into a structured knowledge base.

03

Analyze market trends and competitor landscapes.

04

Generate content for reports, articles, and presentations.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-research-assistant | bash

Overview

Research Assistant

This bundle runs research from question to report: gathering information via private search and deep page parsing, synthesizing it with autonomous research agents, organizing it in a persistent knowledge base, and producing a structured, sourced report. Use it for in-depth research needing synthesis across many sources and a structured output; skip it for a single quick fact-check that a plain search would resolve.

The workflow you build

This bundle connects private web search, deep page parsing, autonomous research, and a persistent knowledge base into one research workflow. You formulate a research question, run multi-level autonomous research to gather and synthesize information, dig deeper into specific sources with full-page content extraction, organize everything in a structured knowledge base with connections between materials, and produce a report with an executive summary, methodology, key findings, analysis, and recommendations - with context preserved across sessions so research compounds over time.

When to use this bundle - and when NOT to

Use it when you need to go deep on a topic - market sizing, competitor breakdowns, or any subject requiring synthesis across many sources - and want the output to be a structured, sourced report rather than a pile of scattered notes. It suits ongoing research work where accumulated knowledge matters. It is not the right fit for a single quick fact-check, or for situations where a general web search box would answer the question just as well as a full research pipeline.

How to get started

Formulate your research question, then launch autonomous research for initial information gathering. Dive deeper into specific sources with full-page parsing, organize results in your knowledge base, and generate a report. An example starting prompt: "Conduct market research on no-code platforms in 2024: top 10 players by revenue and users, key trends and growth drivers, pricing model comparison, 3-year forecast. Sources: Gartner, Forrester, CB Insights." Reports follow a consistent structure: Executive Summary, Methodology, Key Findings (with evidence), Analysis, Recommendations, and Appendices.

Who it's for

Analysts, researchers, students, and anyone working with large volumes of information who needs to systematize scattered research into structured knowledge and ready-to-use reports.

Source README

Who this bundle is for

Analysts, researchers, students, and anyone working with large volumes of information who needs to systematize knowledge.

What's included

MCP Servers

Brave Search - private web search. Current information without tracking and personalized filter bubbles.

Firecrawl - deep web page parsing. Content extraction, pagination handling, Markdown export.

Notion - knowledge base and notes. Structured storage of research, connections between materials.

Memory - long-term memory for Claude. Context preservation between sessions, knowledge accumulation.

Skills

Content Marketing - content creation based on research. Articles, reports, presentations.

Marketing Analytics - data and metrics analysis. Trend identification, correlations, insights.

Agents

Research Agent - autonomous topic research. Multi-level search, information synthesis, structured report.

Market Research Agent - market and industry analysis. Market size, trends, key players.

Competitor Analysis Agent - detailed competitor breakdown. Products, pricing, positioning, strengths and weaknesses.

Prompts

Blog Post Outline - article structure based on research.

Competitor Battlecard - competitor comparison card for sales teams.

How to use

  1. Formulate your research question
  2. Launch Research Agent for initial information gathering
  3. Dive deeper using Firecrawl on specific sources
  4. Organize results in Notion
  5. Create a report with findings and recommendations

Example prompt

Conduct a market research on no-code platforms in 2024:
- Top 10 players by revenue and users
- Key trends and growth drivers
- Pricing model comparison
- 3-year forecast
- Sources: Gartner, Forrester, CB Insights

Research process

Question → Search → Collect → Analyze → Synthesize → Report
   ↓        ↓       ↓       ↓        ↓        ↓
Hypothesis Brave  Firecrawl Claude  Memory   Notion
          Search  Parser   Analysis Storage  Export

Report format

Research: [Topic]

Executive Summary - 3-5 sentences with key findings

Methodology - sources used, time period

Key findings

  1. Finding + evidence
  2. Finding + evidence
  3. Finding + evidence

Analysis - data interpretation, patterns, anomalies

Recommendations - what to do based on research

Appendices - links, tables, charts

Results

  • Deep understanding of any topic
  • Structured knowledge base
  • Ready-to-use reports
  • Content for blog and social media

Bundle Contents

This bundle includes: 4 MCP servers, 2 skills, 3 agents, 2 Prompt

Discussion

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