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Alternative data: a buyer's guide
What we list in this category, where each entry came from, and the questions worth pressing on before you commit.
Every entry below was recorded from a page we opened, and each carries the source we read. Where we could not establish something it is left blank rather than guessed. Read how this site works if you want the detail.
What we list
Every product we hold in this category, in one list. A supplier that has run in production for twenty years and one that launched last year appear together and carry the same fields, because that is the comparison a buyer has to make. Each entry's founding year and owner are on its company page where the company states them, and both bear on continuity: long service is evidence a supplier will still be there, and a young supplier may offer capability and pricing the incumbents do not while carrying fewer references at your size.
- Advan FIT (Foot Traffic Intelligence) — Mobile-device location data joined to card transactions to measure store visits and estimate sales; also sold as SPENDVIEW, REVEAL and Patterns+. source
- Alexandria Technology — Machine-learning sentiment scores derived from financial news and text for investment professionals. source
- Alkymi — Uses language models to turn unstructured investment documents into standardised datasets, with editions for alternatives and private credit. source
- AlphaSense Platform — Search and AI research platform (SuperAnalyst, Deep Research, Tegus expert insights) that absorbed Sentieo, the research management product many funds previously bought. source
- Amberdata — Crypto and blockchain market, DeFi and derivatives data with analytics, risk and compliance tools; Amberdata's own site carries the news of its acquisition by Kaiko, so lists still showing it as independent are out of date. source
- Apptopia — Mobile app usage and engagement data sold to fundamental and quantitative investors as a consumer activity signal. source
- Bigdata.com — News, filings and business-content analytics for finance, now positioned as an AI grounding layer; the site is branded Bigdata.com by RavenPack. source
- Bloomberg Second Measure — Consumer transaction analytics on thousands of public and private brands, updated daily with over eight years of history, operated as Bloomberg Second Measure LLC. source
- Canoe Connect — Collects documents from GP portals and inboxes and extracts data from capital calls, distribution notices and partner capital account statements for the LP side; incubated in 2013 and launched independently in 2017; part of Bloomberg since its acquisition of Canoe closed on 1 October 2026. source
- Canoe Intelligence — Collects alternatives documents from GP portals and extracts fund and asset level data; Bloomberg completed its acquisition of Canoe on 1 October 2026. source
- Cohesion — AI agents for equity fund analysts that monitor earnings, news and alternative datasets on covered companies and surface investment signals. source
- Coresignal Datasets and APIs — Public web data on companies, employees and job postings, used by investors as a headcount and hiring signal. source
- Daloopa — Extracts auditable KPI and financial history from filings and transcripts into models for hedge funds and long-only managers; the site describes it as a Series C company with over $100 million raised. source
- ESGSignals — Asset-level satellite and geospatial metrics, including parking-lot traffic across 65,000 US retail sites, metals production and EV output. source
- Eagle Alpha Platform — Marketplace and advisory layer that helps funds find and vet more than 2,500 alternative datasets, plus a compliance product called Surveyor. source
- Earnest Analytics — Credit and debit card, consumer goods and web pricing datasets delivered through the Dash analytics platform; the Earnest site states it is now part of Consumer Edge. source
- Exabel Platform — No-code platform for testing and combining pre-mapped alternative datasets against company fundamentals; the site states it was acquired by BattleFin Group in December 2024. source
- ExtractAlpha Datasets — Quantitative alpha datasets for equity investors; acquired the Estimize crowdsourced earnings-estimate business in 2021. source
- Fable Data — Bank-sourced pan-European consumer transaction data across 62 merchant categories, mapped to more than 550 tickers. source
- Facteus Cube — US consumer transaction panel drawn from bank and fintech partners, sold as Cube, Arbiter, Onyx (SKU-level) and Ultra (row-level) products. source
- Finnhub — APIs for real-time stock prices, company fundamentals, estimates, economic data and alternative data. source
- Global Macro Sentiment Indices — Converts news, macroeconomic and geopolitical events into point-in-time sentiment signals for countries, commodities and FX, delivered by API, Excel and feed to hedge funds and asset managers. source
- Grata — Private company search and deal sourcing platform for the middle market; Datasite announced its acquisition of Grata on 3 June 2025 and is merging it with Sourcescrub. source
- HFR Indices — Hedge fund performance indices, a hedge fund database and industry performance reports. source
- Harmonic — Startup discovery and sourcing engine with 30 million company profiles, founder and talent-movement alerts, and an AI research agent called Scout. source
- Hudson Labs — AI research tool for investment analysts covering company guidance, catalysts, accounting red flags and financial drivers. source
- IDEA — Platform that consolidates alternative data sources and maps them to company KPIs for fundamental and quantitative investors. source
- Inven — AI deal sourcing platform covering 28 million companies, aimed at building target lists including off-market companies for private equity and M&A teams. source
- Kadoa — AI agents that build and maintain web-scraping pipelines for investment firms, positioned as the web data layer for finance. source
- Kaiko Market Data — Digital asset market data feeds, fair value pricing, indices and surveillance for institutions and regulators; the homepage announces that Kaiko has acquired Amberdata. source
- Kpler — Real-time data on trade flows across more than 40 commodities, power markets and maritime shipping. source
- LinkUp — Job posting data from employers going back to 2007, used for company and investment research. source
- LinqAlpha — Multi-agent AI research platform for hedge funds and asset managers; the company states $6.6M raised and founders from MIT and Goldman Sachs. source
- M Science Data Feeds — More than 500 structured data feeds covering roughly 1,400 companies, delivered by API, S3, Snowflake and Delta Share alongside written research. source
- Nasdaq Data Link — Data marketplace distributing financial, economic and alternative datasets to analysts and quantitative teams. source
- Neudata Scout — Independent dataset scouting and evaluation service for institutional buyers, with a catalogue of over 7,000 datasets. source
- Placer.ai Location Analytics Platform — Foot-traffic and visit data on retail, dining and commercial real estate locations, with a finance vertical aimed at investment returns and risk. The site dates the platform launch to 2018 but does not state a founding year. source
- Planet Insights Platform — Daily high-frequency satellite imagery (PlanetScope, SkySat) and analytic feeds, with a named finance vertical for market monitoring. source
- Preqin Pro — Data on private capital funds, their managers, investors and deals, used to raise capital, screen managers and benchmark performance across alternative asset classes. source
- Revelio Labs — Workforce data on companies covering hiring, attrition, skills, workforce composition and talent flows. source
- SESAMm — Monitors ESG controversies and reputational risk on public and private companies by applying language models to news and web text. source
- Serafis — Indexes transcripts of podcasts, interviews and independent media by company and theme, and delivers them through search, a REST API, an MCP server for AI agents and Snowflake or BigQuery integrations. source
- Soria — A sector-specialist research terminal, starting with healthcare, whose agents build and maintain financial models from public and private sources and deliver them to hedge funds, banks and asset managers through a terminal, an API and an MCP server. source
- Sourcescrub — Deal origination platform covering 17 million companies with conference and event tracking plus CRM enrichment; Datasite announced its acquisition on 8 August 2025. source
- Specter — Searchable data on startups, people, funding rounds and M&A events for deal sourcing and market sizing. source
- State Street PriceStats Superset — The daily item-level price data underlying State Street's PriceStats inflation indices, sold so investors can trace inflation from individual products up to headline measures ahead of official statistics. source
- Stock Intelligence — Website, app and user-engagement trend data on public and private companies, sold to investors as a digital demand signal; Similarweb trades on the NYSE as SMWB. source
- Thinknum Alternative Data — Web-scraped company datasets covering job listings, store locations, product and property pricing, inventory and app engagement. source
- Third Bridge — Expert calls, surveys and a library of expert interview transcripts for investors, also delivered as data feeds and through an MCP server. source
- Tracxn — Private company and sector tracking data for venture capital, private equity and corporate development teams. source
- Vortexa — Energy market data built from cargo and vessel tracking, used by energy traders to follow oil and gas flows. source
- With Intelligence — Data and research on alternative investment funds and allocators, used for capital raising and manager selection. source
- YipitData Market Intelligence — Combines card transactions, email receipts, web-scraped and app-usage data into company and sector revenue estimates for investors. source
- sieve — Extracts data from websites, PDFs and filings using AI, has human reviewers check it, and returns it through an API or into a spreadsheet. source
What to ask
These come from the same question bank our request-for-proposal process uses, so a guide and an RFP never drift apart. The four sections below carry the most weight in that bank.
Functional fit
Whether the system does the job for YOUR instruments, markets and volumes — not for the demonstration portfolio. The questions separate what runs in production today from what is on the roadmap, because that distinction disappears in a sales meeting and reappears during implementation. It also asks what still has to be typed in by hand, which every system has and few volunteer.
- Which asset classes does the product support in production today?
- Is there a full audit trail of who changed what and when, and can it be exported?
- Does the system enforce segregation of duties between front and back office?
- Is maker-checker approval supported on material actions, and is it configurable by action type?
- Can a valuation be sourced and approved independently of the people who trade?
Security and resilience
Whether the vendor's security is independently attested or merely asserted. The questions ask for certifications you can read, penetration tests you can see the summary of, and recovery objectives that are written down. Incident history is asked directly, because a vendor that has handled a breach well is often a safer choice than one that has never been tested.
- Which independent attestations do you hold currently?
- Will you provide the most recent report under a non-disclosure agreement?
- Is data encrypted in transit and at rest?
- Is single sign-on supported, and is multi-factor authentication enforced?
- Can your own staff see our data, and is that access logged and reviewable by us?
Compliance and regulatory
Whether the system stands up to your regulator and your auditor. Covers the reporting regimes the product supports directly, whether it can evidence who saw or changed a record, how long records are retained, and where in the world your data physically sits — which is a hard constraint for many firms rather than a preference.
- Can the system evidence to an auditor who saw or changed a given record, and when?
- In which jurisdictions is our data stored and processed?
- Are there any pending criminal matters or debarment proceedings involving the firm, its officers or its managers?
- Which regulatory reporting regimes does the product support directly?
- When a regime changes, is the update included in the licence or charged separately?
Clients and references
Whether they have done this for a firm like yours, and whether those firms stayed. Vendors present client counts and logos readily; they present ATTRITION reluctantly, which is why this section asks for clients lost and migrations completed as separate questions from clients won. Size fit decides more failed implementations than feature lists do, so it is asked directly.
- How many client firms use this product in production today?
- How many of those are of a similar type to our firm?
- How many are within our assets-under-management band?
- How many clients did you LOSE in each of the last three years?
- How many implementations begun in the last three years were abandoned before go-live?
You can send all 167 of these questions to the vendors you choose, and get every answer back side by side. Run an RFP — it is free to you and free to them.