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    3. Financial Datasets

    Financial Datasets

    Provide institutional-grade, AI-optimized financial data infrastructure that powers smarter autonomous agents for market research, analysis, and decision-making.

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    At a Glance

    1Tool Listed
    4Products
    15Tool Views
    5Capabilities
    Discussions
    New York, NYHeadquarters
    2024Est.
    1Employee
    Focus Areas
    Market Analysis
    API Integration Platforms
    Business Intelligence
    Latest News
    Achieved highest benchmark accuracy (92%) on finance-agent tests.Apr 10, 2026
    Financial Datasets Releases EarningsBench for LLM evaluation.Mar 29, 2026
    Markets
    • AI Developers
    • Financial Analysts
    • Quantitative Researchers
    • Fintech Startups
    • +1 more

    AI Tools by Financial Datasets

    (1)
    View Financial Datasets
    Financial Datasets tool icon

    Financial Datasets

    Stock Market Data for AI Agents

    Market AnalysisAPI IntegrationsBusiness Intel

    Discussions

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    Latest News

    04/10/2026

    Achieved highest benchmark accuracy (92%) on finance-agent tests.

    vals.ai
    03/29/2026

    Financial Datasets Releases EarningsBench for LLM evaluation.

    Twitter (@findatasets)
    03/19/2026

    Launch of new Earnings API with real-time 8-K extraction.

    Twitter (@findatasets)
    06/25/2025

    Launch of MCP Server for real-time AI financial data access.

    Financial Datasets Documentation

    Products & Services

    4
    Stock Market API

    Institutional-grade API providing real-time and historical stock data, fundamentals, and fundamentals for 16,000+ US tickers.

    Earnings API

    Real-time earnings results and analyst expectations extracted directly from SEC filings.

    Model Context Protocol (MCP) Server

    Standardized endpoint for AI agents like Claude to access real-time financial data.

    EarningsBench

    Benchmark designed to evaluate LLM accuracy in financial data extraction.

    Market Position

    Differentiated by its focus on AI-optimized financial data with sub-millisecond latency and institutional-grade accuracy, outperforming legacy providers in benchmark tests.

    Leadership

    Founders

    VS

    Virat Singh

    Software Engineer with experience at Faire, Acorns, Airbnb, GoPro, and Sony Electronics. Former Investment Banker at Gateway Partners.

    Executive Team

    VS

    Virat Singh

    Founder

    Former Software Engineer at Faire and Acorns; former Investment Banker.

    Founding Story

    Founded by Virat Singh in early 2024 following a challenge to build a stock market API in 28 days. The vision was to provide a high-quality, affordable data layer optimized for AI agents and LLMs, offering 100% accuracy for autonomous financial research.

    Business Model

    Revenue Model

    SaaS API subscription with tiered monthly plans and pay-as-you-go usage credits.

    Pricing Tiers

    Developer
    $200/month

    Individual license, 1,000 requests/minute, all core data endpoints.

    Pro
    $2,000/month

    Professional license, unlimited requests, data redistribution rights.

    Enterprise
    Custom

    SLA, dedicated infrastructure, advanced security controls, dedicated account manager.

    Private

    Target Markets

    Industries & Segments
    • AI Developers
    • Financial Analysts
    • Quantitative Researchers
    • Fintech Startups
    • Institutional Investors
    Use Cases
    • AI financial agents and LLM pipelines
    • Quantitative research and portfolio management
    • Event-driven trading infrastructure
    • Fintech product internal data layers
    Notable Customers
    • OpenAI
    • Anthropic
    • Google
    • Jane Street

    Quick Facts

    Headquarters
    New York, NY
    Founded
    2024
    Entity Type
    Inc.
    Employees
    1
    Total Funding
    None reported
    Office Locations
    New York

    History & Milestones

    2026-01-30

    Founder Virat Singh transitions to full-time focus on building the company.

    2026-04-10

    Achieved 92% benchmark accuracy on finance-agent tests in collaboration with Stanford researchers.

    2025-06-25

    Launched Model Context Protocol (MCP) server for direct AI agent integration.

    2024-03-01

    Completed the 'I Built a Stock Market API in 28 Days' challenge.

    2024-04-16

    Released feature enabling Q&A financial datasets from 10-Q filings.

    Key Capabilities

    5
    Real-time data ingestion
    Structured JSON responses
    Section-level SEC filing access
    Sub-millisecond update latency
    Machine-first API design

    Integrations & Partnerships

    Platform Integrations

    • Python SDK
    • TypeScript SDK
    • Rust SDK
    • Model Context Protocol (MCP)

    Key Partnerships

    Stanford Researchers (Benchmark development)
    Global Systemically Important Bank (Benchmark development)

    Connect

    Website
    financialdatasets.ai

    AI Topics

    3

    Financial Datasets focuses on these topics:

    Market Analysis(1)
    API Integration Platforms(1)
    Business Intelligence(1)
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