> ## Documentation Index > Fetch the complete documentation index at: https://buildingfor.vc/llms.txt > Use this file to discover all available pages before exploring further. # Other Data Providers > Market data, research, patents, and specialized data sources. ## Overview Beyond company, signal, and people data, VC funds often need specialized data: market intelligence, academic research, patents, financial data, and sector-specific sources. This page isn't comprehensive, it's a starting point for inspiration. The specialized data landscape is vast and constantly evolving. If you've found a great resource that should be here, [suggest an edit](https://github.com/alexpatow/building-for-vc/edit/main/guide/part-3-technical-foundations/data-providers/other-data.mdx). ## Market and Financial Data | Provider | What It's For | Price | | -------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------- | -------- | | [S\&P Capital IQ](https://www.spglobal.com/marketintelligence/en/solutions/sp-capital-iq-platform) | Comprehensive financial data. Comparables analysis, market sizing. | \$\$\$\$ | | [Bloomberg](https://www.bloomberg.com/professional/products/data/) | Real-time market data, news, analytics. Standard in finance. | \$\$\$\$ | | [Refinitiv (LSEG)](https://www.lseg.com/en/data-analytics) | Market data, news, regulatory filings. Bloomberg alternative. | \$\$\$ | | [Morningstar](https://www.morningstar.com/products/data) | Investment research, fund ratings, equity data. Strong on public markets. | \$\$\$ | These are primarily useful for growth-stage funds doing comparables analysis or funds that invest alongside public market activity. Most early-stage funds won't need this level of financial data. *** ## Research and Academic Data For deep tech and science-based funds, academic research is critical for evaluating technical founders and understanding technology landscapes. | Provider | What It's For | Price | | ---------------------------------------------------- | -------------------------------------------------------------------------------------------------- | ----- | | [arXiv](https://arxiv.org/) | Preprints in physics, math, CS, AI/ML. Track cutting-edge research before publication. | Free | | [Semantic Scholar](https://www.semanticscholar.org/) | AI-powered research discovery. Citation networks and research impact. | Free | | [Google Scholar](https://scholar.google.com/) | Broad academic search. Good for quick lookups and citation counts. Can use SerpAPI to scrape data. | \$ | | [PubMed](https://pubmed.ncbi.nlm.nih.gov/) | Biomedical and life sciences literature. Essential for bio/healthcare funds. | Free | These are mostly free and publicly accessible. The challenge isn't cost, it's knowing how to use them and having the domain expertise to interpret what you find. *** ## Patent and IP Data Patents indicate technology development, potential IP moats, and founder technical depth. | Provider | What It's For | Price | | --------------------------------------------- | -------------------------------------------------------------------------------------------------------------------- | ------- | | [Lens](https://www.lens.org/) | Patent and scholarly search, inexpensive yearly subscription for commercial use. Links patents to academic research. | \$ | | [Google Patents](https://patents.google.com/) | Quick patent searches. Good for initial lookups. Can use SerpAPI to scrape data. | \$ | | [USPTO](https://www.uspto.gov/) | Official US patent database. | Free | | [Espacenet](https://worldwide.espacenet.com/) | European patent database. Good international coverage. | Free | | [PatSnap](https://www.patsnap.com/) | Patent analytics platform. Visualization, competitive analysis. | Unknown | Most patent data is publicly available through government databases. Paid tools like Lens and PatSnap add analytics, visualization, and search on top. *** ## Web Traffic and E-commerce Data For evaluating consumer-facing companies, web traffic and e-commerce data can provide useful signals about traction and market position. | Provider | What It's For | Price | | -------------------------------------------- | ----------------------------------------------------------------------------------- | ------ | | [SimilarWeb](https://www.similarweb.com/) | Web traffic estimates, SEO data, competitive analysis. Good for consumer companies. | \$\$\$ | | [Jungle Scout](https://www.junglescout.com/) | Amazon product research, seller data, market trends. Essential for e-commerce. | \$\$ | | [Sensor Tower](https://sensortower.com/) | Mobile app analytics, downloads, revenue estimates. Good for app-based companies. | \$\$\$ | | [data.ai](https://www.data.ai/) | Mobile market data, app intelligence. Broader than Sensor Tower. | \$\$\$ | These tools are particularly useful when evaluating companies in consumer, e-commerce, or mobile-first categories where traditional funding data doesn't capture traction. *** ## Geospatial Data Location intelligence can be valuable for evaluating companies in retail, real estate, logistics, and other location-dependent sectors. | Provider | What It's For | Price | | ----------------------------------- | ------------------------------------------------------------------------------------ | ------ | | [CARTO](https://carto.com/) | Location intelligence platform. Demographics, foot traffic, site selection. | \$\$\$ | | [SafeGraph](https://safegraph.com/) | Points of interest, foot traffic patterns. Good for retail and real estate analysis. | \$\$\$ | Useful when evaluating companies where physical location matters: retail chains, logistics, real estate tech, or any business with brick-and-mortar components. *** ## Sector-Specific Data Some sectors have specialized data needs that general providers don't cover well. **Healthcare/Bio:** | Provider | What It's For | | ------------------------------------------------------------------------------------------- | --------------------------------------------------- | | [ClinicalTrials.gov](https://clinicaltrials.gov/) | Clinical trial registry. Track drug development. | | [FDA databases](https://www.fda.gov/drugs/drug-approvals-and-databases/drugsfda-data-files) | Drug approvals, safety data. | | [BioMedTracker](https://www.biomedtracker.com/) | Drug pipeline intelligence. Probability of success. | **Fintech:** | Provider | What It's For | | -------------------------------------------------- | --------------------------------------------------- | | [FDIC](https://www.fdic.gov/resources/data-tools/) | Bank data, regulatory filings. | | [SEC EDGAR](https://www.sec.gov/edgar) | Public company filings. Essential for any analysis. | **Climate/Energy:** | Provider | What It's For | | ---------------------------------------------------------- | ------------------------------------------------ | | [EIA](https://www.eia.gov/) | US energy data. Production, consumption, prices. | | [EPA databases](https://www.epa.gov/enviro/data-downloads) | Emissions, environmental compliance. | *** ## LLM-Powered Research Tools LLMs with search capabilities are increasingly useful for market research, competitive analysis, and due diligence. Unlike traditional databases, these tools synthesize information from multiple sources and return cited answers. | Provider | What It's For | Price | | -------------------------------------------- | ----------------------------------------------------------------------------------------- | ----- | | [Perplexity API](https://docs.perplexity.ai) | Search + LLM that returns sourced answers. Great for market research and quick diligence. | \$ | | [Exa](https://exa.ai/) | AI-powered semantic search. Find similar companies, research markets, discover content. | \$ | These tools are useful for: * Quick market sizing and landscape overviews * Finding competitors and similar companies * Background research on founders or technologies * Synthesizing public information during due diligence The key advantage is that they return sources with their answers, so you can verify the underlying data. Integrate them into your research workflows via API. *** ## Considerations **Specialized data requires domain expertise:** Market data and research data are only valuable if you can interpret them. These sources work best when you have domain expertise on your team. See [Considerations](/guide/part-3-technical-foundations/data-providers/considerations) for cost and vendor relationship guidance.