Alternative data providers sell information that sits outside traditional financial statements and market feeds: card and receipt transactions, web traffic and app engagement, foot traffic, job postings, product pricing and other signals collected from the digital economy. Hedge funds and asset managers use it to see company performance before earnings, private equity teams use it in due diligence, and corporate strategy teams use the same feeds to benchmark competitors and size markets.
This list covers the top alternative data providers in 2026, from research-heavy firms that turn panels into KPI forecasts to web data providers that sell raw, structured datasets you analyze yourself. We checked each company’s coverage, delivery options and positioning on its own website. Where a company publishes figures, we quote them as the company states them; treat panel sizes and coverage counts as vendor claims to validate during a trial.
One point before the list. Alternative data for investors comes with compliance questions that ordinary market data does not: how the data was collected, whether consumers consented, whether it could contain material non-public information, and whether the vendor will answer a due diligence questionnaire. The best alternative data companies are open about all of this, and we note where a provider publishes its approach.
Alternative Data Providers At A Glance
Company
Headquarters
Best For
Standout Trait or Pricing Model
YipitData
New York, USA
Investors and brands tracking spend and market share
Owned consumer and B2B panels; subscription
M Science
New York, USA
Hedge funds that want KPI feeds plus research
500+ data feeds; Jefferies subsidiary
Consumer Edge
Not published
Card transaction data across merchants and tickers
Transaction, receipt and healthcare data; includes Earnest Analytics
Similarweb
New York, USA (footer address)
Digital traffic and app signals mapped to tickers
Stock Intelligence via dashboards, API, S3 or Snowflake
Placer.ai
Not published (Placer Labs, Inc.)
Foot traffic and location analytics
Platform, API and data marketplace
Thinknum
Not published
Web-sourced KPIs across 450,000+ companies
Self-serve platform with API and alerts
Nasdaq Data Link
New York, USA (Nasdaq)
Financial, economic and alternative datasets in one API
YipitData, headquartered in New York, positions itself as market intelligence for investors, brands and retailers. Its core asset is a proprietary data network of consumer and B2B panels that the company says it owns and operates, combined with 40+ always-on sources such as consumer receipts, card transactions, B2B spend and cloud spend. The company says it tracks trillions of dollars in live consumer and business spend.
What clients buy is not just data but answers: market share, purchase frequency, cross-shopping, churn, pricing and competitive growth, broken down by period, region, channel or segment. An AI Insight Agent lets users ask questions in natural language and see panel sizes and collection methods behind each answer, which helps with the transparency investors need. Audiences include hedge funds and asset managers, private equity and venture investors, investment banks running M&A diligence and corporate strategy teams across retail, beauty, home improvement and AI and software.
YipitData reports more than 650 clients and states that it is not a registered investment adviser. Pricing is by subscription.
Proprietary consumer receipt and B2B spend panels
SKU-level analysis across major retailers
Transparency on panel sizes and collection methods
Best for: public and private investors who want spend-based KPIs with analysis already done.
2. M Science — Hundreds Of KPI Feeds Backed By A Research Team
M Science is a data-driven research and analytics firm and a subsidiary of Jefferies Financial Group. It tracks more than 1,400 companies across about 40 subsectors, grouped under consumer, TMT, industrials, airlines, payments and fintech, Europe, Asia-Pacific and private companies.
Clients can take structured company, industry and KPI-level data through more than 500 feeds, read research reports that interpret that data, or work through a Unified Data Model that also exposes an MCP server for AI tools. Delivery covers APIs, S3, Snowflake, Delta Share and MCP, which makes it straightforward to bring M Science data into a quant research stack. Offices are listed in New York and Hong Kong.
The combination of feeds and analyst research is the main reason to choose M Science over a raw data vendor: you get the data and a view on what it means for reported numbers. Pricing is by subscription.
500+ company, industry and KPI-level feeds
Coverage of 1,400+ companies in about 40 subsectors
Delivery through API, S3, Snowflake, Delta Share or MCP
Best for: hedge funds and asset managers that want ready-to-model KPI feeds and supporting research.
3. Consumer Edge — Card Transactions Across 40,000 Merchants, Now With Earnest
Consumer Edge specializes in consumer transaction data and has expanded into receipts, healthcare claims, web traffic and research signals. Earnest Analytics, another long-standing transaction data provider, is now part of Consumer Edge, bringing card, pricing, medical procedure and prescription datasets into the same group.
The company states coverage of about 40,000 merchants, 1,800 tickers and 180 million accounts, with data history across five continents. Investors use it to track revenue trends ahead of reporting, while corporate brands in apparel, beauty, restaurants and other sectors use it for share and customer analysis. Consumer Edge describes its data types as privacy-compliant under a proprietary framework that varies by region. Pricing is by subscription.
Having transaction, receipt and claims data under one roof is useful when a thesis depends on both what consumers buy and where they buy it. Healthcare investors in particular can use the medical claims dataset to follow procedure and treatment volumes alongside retail spending.
Best for: investors and consumer brands that need granular transaction trends by merchant and ticker.
4. Similarweb — Web And App Signals Mapped Straight To Tickers
Similarweb is best known as a digital market intelligence platform, and its Stock Intelligence product packages that data for investors. It covers web and app traffic and engagement, company-level KPIs, marketing channel data and audience behavior, with ticker mapping that links every domain and app to a single company view.
For investors, the timing is the draw. Similarweb surfaces signals on a 48 to 72 hour lag at daily, weekly and monthly granularity, so digital demand for a listed company can be tracked well before quarterly results. The company states coverage of 100 million websites, 4.7 million apps, 210 industries and 190 countries. Data arrives through dashboards, Excel downloads, an API, S3 or Snowflake, and a weekly newsletter highlights notable moves.
Similarweb also serves marketing, sales and ecommerce teams, so corporates that already use it for competitive analysis can extend the same data into strategy and investor relations work. Pricing is by subscription.
Ticker mapping from domains and apps to companies
Signals on a 48 to 72 hour lag
Delivery to S3 or Snowflake as well as dashboards
Best for: investors tracking digitally driven companies, from ecommerce to subscription software.
5. Placer.ai — Foot Traffic Intelligence For Real Estate And Retail
Placer.ai is a location intelligence company that measures visits to physical places. Its platform shows foot traffic, visitor demographics and trade areas for property-level polygons, alongside sales estimates, business counts and consumer expenditure data, and it offers chain analysis, points of interest and industry trend tools.
Retailers, commercial real estate owners, restaurant groups, CPG brands and civic organizations use it for site selection and performance tracking, and Placer.ai runs a dedicated finance solution for investment decisions. It describes its panel as privacy-preserving and publishes a Trust Center and privacy policy. The company states it has more than 4,000 customers. Access comes through the analytics platform, an API and a data marketplace.
Because the data works at the level of individual properties, it is well suited to questions such as whether a new store format is drawing more visitors than the old one, how a mall’s anchor tenants are performing, or whether a chain’s traffic is shifting between regions.
Best for: REIT, retail and restaurant investors who need visit trends at the location level.
6. Thinknum — Web-Sourced KPIs Across 450,000 Companies
Thinknum Alternative Data indexes public web data on more than 450,000 companies and turns it into time series you can query. Datasets include store locations, job listings, product pricing, property pricing and car inventory, which together give an outside-in view of hiring, expansion, pricing and inventory trends.
The platform is self-serve: analysts build and share queries, use preconfigured charts and maps, add dashboard widgets and set email alerts when a metric crosses a threshold. An API is available for teams that want to pull data into their own models. Thinknum quotes investment firms among its users and also sells a corporate offering, including an HR analytics product. Pricing is by subscription.
Because the datasets above come from public web sources such as company websites and listings, the signals are easy to explain to an investment committee: a chain opened stores, a company posted more engineering roles, a brand cut prices. That transparency is a practical advantage over opaque modeled estimates.
Best for: fundamental analysts who want to explore web-sourced company metrics themselves.
7. Nasdaq Data Link — Financial, Economic And Alternative Data Through One API
Nasdaq Data Link is Nasdaq’s cloud-based data platform, offering more than 350 datasets through a single API, with integrations for Python, R and Excel. Its catalog combines core financial data, such as index, fund and US equity fundamentals from Sharadar, with alternative datasets that Nasdaq distributes on behalf of third-party publishers.
The advantage is consolidation. Instead of negotiating with many small vendors, a quant or research team can license several datasets through one provider with consistent access methods and Nasdaq’s operational backing. Nasdaq says the platform serves hundreds of thousands of professionals. Datasets are licensed individually, so pricing depends on what you subscribe to.
350+ datasets behind one API
Python, R and Excel integrations
Sharadar US equity fundamentals with more than 20 years of history
Nasdaq Data Link is also a sensible starting point for smaller funds and academic or corporate research teams, because the documentation, client libraries and consistent formats lower the cost of testing a new dataset. Once a signal proves useful, the same access method carries through to production, which avoids rebuilding pipelines for each vendor.
Best for: quant and research teams that want alternative datasets alongside core market data in one workflow.
8. Coresignal — Firmographic And Job Posting Data For Deal Sourcing
Coresignal is a web data provider focused on company and workforce information. It states it holds more than 5 billion records, including 72 million company records with 500+ fields and 486 million job posting listings dating back to 2020, useful for analysis of hiring trends, company growth and market movements.
Investors use it for deal sourcing, screening and risk evaluation, for example spotting companies that are scaling engineering teams or opening new locations. Data is available through Company, Jobs and Agentic Search APIs, flat files in JSONL or CSV, and an MCP server for AI tools. Coresignal says it is certified by the Ethical Web Data Collection Initiative, collects only publicly available business-related data, and does not scrape login-secured areas. The company cites more than 1,000 clients.
72 million company records and 486 million job postings
APIs, flat files and an MCP server
Public, business-related data only, with EWDCI certification
Best for: venture and private equity teams building company screening and deal sourcing models.
9. Bright Data — Ready-Made Public Web Datasets With Flexible Refresh
Bright Data sells more than 1,000 prebuilt datasets with 21 billion+ records across business, ecommerce, real estate and travel, collected from public websites. For investment and market research teams, that means product catalogs, prices, reviews, company listings and property data that can be bought outright instead of scraped in-house.
Datasets start at $250 per 100,000 records, with bundles and volume discounts. You can buy once or subscribe with monthly, quarterly or biannual refreshes, and smart updates deliver only new or changed records. Files arrive as JSON, CSV or Parquet via S3, Snowflake, Google Cloud, Azure, SFTP, API or webhook. Custom datasets can be scoped by timeframe, region and fields.
This route suits teams with data engineers who want control over how a signal is built. Pricing per record also makes it easy to start small, for example by buying a single category of product data, and expand once a signal has proven its value.
Best for: data teams that want raw web data to build their own signals rather than buy finished research.
10. Eagle Alpha — A Marketplace And Advisor For Finding The Right Alt Data
Eagle Alpha is not a single dataset vendor but an alternative data aggregation platform and advisor. Its marketplace lists more than 2,500 alternative data products, and the company says more than 1,000 data buyers have used the platform. It serves funds, private equity firms, consultants and corporates on the buy side, and helps vendors monetize data on the sell side.
Beyond discovery, Eagle Alpha offers Surveyor, a compliance product for vetting vendors, and Lakeshore for moving and onboarding datasets across clouds, plus research content and industry events. For a firm starting an alternative data program, it shortens the search and adds a structured due diligence step. Pricing depends on the buyer tier.
2,500+ alternative data products to compare
Surveyor for vendor compliance checks
Lakeshore for cloud onboarding of datasets
Best for: funds and corporates that are new to alternative data or want help vetting many vendors.
How To Choose Alternative Data Providers
Choosing among alternative data companies is part data science and part compliance review. These questions help separate a useful signal from an expensive distraction.
Does The Data Actually Predict What You Care About?
Start with the question, not the dataset. If you need to forecast a retailer’s revenue, transaction and receipt panels are the closest proxy; for a software company, web and app engagement or hiring data may matter more. Ask each vendor for historical data covering several reporting periods and test how well it would have tracked reported KPIs, including periods when it missed.
How Was The Data Collected, And Is It Clean To Use?
Your compliance team will want to know the source of every record. Ask whether consumer panels are opt-in, how personal information is removed or aggregated, whether web data comes only from publicly available pages, and whether the provider follows a recognized standard such as the Ethical Web Data Collection Initiative. Confirm the vendor will complete a due diligence questionnaire and address material non-public information risk in writing.
Raw Data Or Finished Research?
Research-led providers such as YipitData and M Science deliver analysis and KPI estimates that a portfolio manager can read directly. Web data providers such as Bright Data, Coresignal and Thinknum supply raw or lightly structured data that your own analysts must clean and model. Raw data is usually cheaper per record and more flexible, but it needs data science capacity. If you plan to build in-house collection instead, our guides to proxy-backed data extraction services and web scraping APIs cover the tooling, and our beginner’s guide to web scraping explains the basics, including respecting site terms and rate limits.
How Will The Data Fit Into Your Stack?
Check delivery formats and frequency against your workflow. Snowflake and S3 delivery, consistent entity and ticker mapping, point-in-time history without look-ahead bias, and stable schemas all reduce the work needed before a dataset is usable in a model or dashboard.
What Does It Cost Relative To Its Value?
Alternative data contracts range from a few hundred dollars for a one-off dataset to large annual subscriptions for exclusive research. Negotiate a trial period, ask about pricing for historical backfill versus ongoing delivery, and decide in advance what accuracy or coverage threshold would justify renewal.
Can The Vendor Support You After The Sale?
Datasets break in subtle ways: a panel loses a partner, a website changes its structure, a ticker map goes stale after a merger. Ask how the provider communicates methodology changes, how quickly it corrects errors, and whether you get a named contact or only a ticketing system. For research products, ask whether analysts are available to discuss their estimates.
Conclusion
The top alternative data providers in 2026 cover a wide spectrum. YipitData, M Science and Consumer Edge lead for spend-based research and transaction data, Similarweb and Placer.ai for digital and physical traffic, and Thinknum and Coresignal for web-sourced company metrics. Nasdaq Data Link consolidates many datasets behind one API, Bright Data sells raw web data at scale, and Eagle Alpha helps buyers find and vet the rest.
Whichever alternative data for investors you consider, run a backtest against reported results, put the vendor through a proper compliance review, and start with the narrowest dataset that answers your question. Web data providers and research firms both have a place, and many teams end up using one of each.
