Dataglade
AI-powered market intelligence terminal for institutional investors with verified data.
Dataglade delivers institutional-grade market intelligence with verified data and conversational AI. Its strength lies in data integrity and comprehensiveness, but the lack of transparent pricing and enterprise focus may deter smaller firms. A solid choice for hedge funds and wealth managers that need trustworthy, real-time data with source links.
Verified 2d ago · liveness 45/100 · cite: rightaichoice.com/tools/dataglade
- Hedge fund analysts
- Wealth managers
- Investment bankers
- Fintech developers
- Individual hobby investors
- Basic portfolio tracking
- Non-financial professionals
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Skip Dataglade if you're an individual investor or small firm that needs transparent, self-serve pricing and a free trial — this is an enterprise-grade platform with contact-only sales and no public pricing.
Pricing is only available by contacting sales, so you cannot estimate costs upfront — expect a significant annual commitment for institutional access.
Dataglade is priced for institutional clients, with contact-only sales and no public tiers. It's likely to be expensive compared to self-serve tools like Koyfin or TradingView, but cheaper than a full Bloomberg Terminal. It fits hedge funds and wealth managers who need verified data and AI insights, not individual traders or small startups.
In short
Dataglade — AI-powered market intelligence terminal for institutional investors with verified data. Best for Hedge fund analysts, Wealth managers, Investment bankers. Contact Sales pricing.
What people actually say about Dataglade — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
- +Natural language queries simplify complex financial research.
- +Source-linked data ensures verification and compliance.
- +Live options flow and insider trades are real-time and actionable.
- +Covers 48,000+ companies with fundamentals and ratios.
- +AI earnings call summarization saves analyst hours.
- −Very limited community feedback to validate claims.
- −Pricing is opaque and not publicly disclosed.
- −Integrating internal data is not immediate or easy.
- −Customer support response times can be slow.
- −Coverage of mid-cap companies may be insufficient.
- • No public pricing – costs may scale with data usage or user count
- • Custom internal data integration may incur additional setup fees
- • Premium support likely requires higher-tier plan
Viability Score
How well maintained and how widely used is Dataglade? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Natural language querying for financial data
- Fundamentals, ratios, multiples for 48,000+ equities
- Live options flow
- Real-time insider trades
- Source-linked fundamental data
- Earnings call summarization
- Transcript search
- Supply chain analysis via AI
- SWOT analysis generation
- MECE analysis generation
- BCG analysis generation
- Stock screening with 100+ criteria
- Real-time analyst estimates
- Link internal data for AI insights
- Comparable company analysis
About Dataglade
Dataglade is a market intelligence platform built for hedge funds, wealth managers, and fintechs, combining real-time data with AI-driven analysis. It covers fundamentals, ratios, multiples, and earnings for 48,000+ equities, plus live options flow and insider trades. You can ask natural language queries like "What were the positives and negatives of Apple's last quarter?" or "Trace NVIDIA's supply chain." Every fundamental number links to its source, ensuring data integrity. The platform also allows linking your internal data for proprietary insights. Dataglade is trusted by institutions trading $1+ billion daily and is available as a terminal, API, and enterprise solution. It differentiates from generic AI chatbots by being purpose-built for finance, with features like earnings call summarization, SWOT analysis, and stock screening with 100+ criteria. Coverage extends across 50+ markets and asset classes, including equities, options, fixed income, commodities, and currencies.
Behind the Verdict
Dataglade stands out for its commitment to data integrity — every fundamental number links to its source, so you can validate claims yourself. This is a major trust advantage over generic AI chatbots that often hallucinate financial data. The natural language querying is genuinely useful for quick answers like "Why are Tesla's margins expanding?" or "Which banks are least exposed to commercial real estate?" The platform covers 48,000+ companies across 50+ markets, with real-time analyst estimates from top institutions like Goldman Sachs and J.P. Morgan. Strengths: source-linked data, live options flow and insider trades, earnings call summaries with transcripts, AI-generated analyses (SWOT, MECE, BCG) with citations, and the ability to link your own internal data for proprietary insights. The screening tool with 100+ criteria is powerful for discovering stocks. Weaknesses: pricing is contact-sales only — no self-serve tiers or free trial, so you can't evaluate cost upfront. This makes it a poor fit for individual traders or small firms with limited budgets. The platform is also specialized for finance, so non-financial professionals will find it overwhelming. There's no public documentation of API specifics, and the lack of transparent pricing may be a barrier for fintechs evaluating integration costs. Where it fits: hedge fund analysts, wealth managers, investment bankers, and fintech developers who need verified, real-time data and are willing to invest in a professional-grade tool. Where it doesn't: hobby investors, casual portfolio trackers, or teams that need self-serve pricing and quick onboarding.
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Real-world workflow fit
Concrete scenarios for the personas Dataglade actually fits — and what changes day-one when you adopt it.
Preparing for an earnings call, you ask Dataglade to summarize Microsoft's last earnings call and identify key margin drivers. You use the source-linked fundamentals to verify figures, then generate a SWOT analysis with citations for your investment committee memo.
Outcome: You save hours of manual research and have a citable, accurate analysis ready for your team.
Building a client report, you ask Dataglade to compare the top 10 REITs' strengths and weaknesses. You link your internal portfolio data to get proprietary insights on exposure and generate tables for your presentation.
Outcome: You deliver a data-rich, personalized report faster, with confidence in the underlying numbers.
Integrating market data into your app, you use Dataglade's API to pull fundamentals and options flow for 48,000+ equities. You test the API's speed and reliability with a sample query.
Outcome: You have a robust data pipeline with verified sources, ready for production.
Use Cases
- Ask natural language questions about company performance, like earnings summaries and margin drivers.
- Analyze supply chain risks and legal challenges for specific companies using AI.
- Generate comparative tables of strengths and weaknesses across industry peers.
- Monitor live options flow and insider trades to identify market-moving activity.
- Link your own proprietary data to Dataglade's AI for custom insights.
- Validate fundamental data by clicking through to original sources.
- Screen for stocks using 100+ fundamental and technical criteria.
- Access real-time analyst estimates and revisions from top institutions.
Limitations
- The platform is primarily for institutional investors, with pricing available only through contacting sales and no publicly visible self-service tiers or free trial.
- It is designed for professional use, focusing on hedge funds, wealth managers, and fintechs, and may be costly and complex for individual traders.
as of 2026-08-20
Verification history
We have re-verified Dataglade 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Dataglade's pricing actually pencils out — and where peers do it cheaper.
Dataglade is priced for institutional clients, with contact-only sales and no public tiers. It's likely to be expensive compared to self-serve tools like Koyfin or TradingView, but cheaper than a full Bloomberg Terminal. It fits hedge funds and wealth managers who need verified data and AI insights, not individual traders or small startups.
Setup time & first value
How long it actually takes to get something useful out of Dataglade — broken out by persona, not the marketing-page minute.
For hedge fund analysts and wealth managers, initial setup is fast — you can start asking natural language queries within minutes of receiving access. Linking internal data and configuring API access may take a few hours. Fintech developers should budget a day or two to integrate the API and test data quality.
Resources & Guides
Tutorials & Learning
Official links
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Featured Head-to-Head Comparisons
Dataglade vs Geologicai
Choose GeologicAI if you're in mining and need integrated end-to-end core scanning and AI logging with LIBS detection for critical minerals, backed by recent funding and acquisitions. Choose Dataglade if you're in finance and need real-time market intelligence with natural language querying for 48,000+ equities. They serve entirely different domains.
Dataglade vs Screenplayiq
Choose ScreenplayIQ if you are a screenwriter or producer seeking quantitative script analysis and box office predictions. Choose Dataglade if you are a financial professional requiring institutional-grade market intelligence with real-time data and AI-driven analysis. They serve entirely different domains with no overlap.
Dataglade vs Bitsgap
Dataglade and Bitsgap serve entirely different markets. Dataglade is a heavyweight institutional equity research tool for professionals who need verified, real-time fundamental data and AI-powered analysis — not for casual investors. Bitsgap is a user-friendly crypto trading bot platform for automating strategies across exchanges, ideal for retail traders seeking passive income without manual effort. Choose Dataglade if you do professional financial analysis; choose Bitsgap if you trade crypto and want automated bots.
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