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Deepsearch Financial Update: Empower Your AI with Deeper Financial Data

>_ Alexander Ng

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We’re excited to announce the launch of nine powerful new data sources in the Valyu DeepSearch API. Its your all‑in‑one solution for structured financial data designed to fuel faster, richer AI-driven research and analysis. From earnings and balance sheets to insider transactions and raw SEC filings, DeepSearch now delivers clean JSON and markdown outputs that plug directly into your AI applications.

What this release delivers at a glance:

  • Nine new data sources: Covering key financial statements, market movers, dividends, insider logs and more.
  • Natural‑language queries: Ask for earnings, ratios, cash flows or filings in plain English.
  • Clean, ready‑to‑use output: Parsed JSON and markdown for seamless integration.
  • New docs: Check out our new guides in our docs. The financial search guide shows you how to best use this update!

The New Data Sources:


1. Earnings Insights

Dataset: valyu/valyu-earnings-US

Say hello to end‑to‑end quarterly and annual earnings data straight from company reports: EPS, revenue, net income, and more. No HTML scraping—just clean JSON fields.

1from valyu import Valyu
2
3valyu = Valyu(api_key="YOUR_API_KEY")
4response = valyu.search(
5 query="What were Tesla’s Q2 2025 earnings?",
6 included_sources=["valyu/valyu-earnings-US"]
7)
8print(response)
9# → {"ticker": "TSLA", "content": [{"date": "2025-06-30", "eps": 1.25, …},...]}

2. Key Financial Metrics

Dataset: valyu/valyu-statistics-US

Instant access to P/E, ROE, debt/equity, revenue growth rates, and dozens more metrics—updated in real time.

1from valyu import Valyu
2
3valyu = Valyu(api_key="YOUR_API_KEY")
4stats = valyu.search(
5 query="AAPL key financial ratios",
6 included_sources=["valyu/valyu-statistics-US"]
7)
8print(stats)
9# → {"ticker": "AAPL", "content":{"peRatio": 28.5, "roe": 0.34, "debtEquity": 1.2, …}}

3. Balance Sheet Breakdown

Dataset: valyu/valyu-balance-sheet-US

Drill down into assets, liabilities, and equity line items for every US public company.

1from valyu import Valyu
2
3valyu = Valyu(api_key="YOUR_API_KEY")
4sheet = valyu.search(
5 query="Amazon balance sheet Q1 2025 line items",
6 included_sources=["valyu/valyu-balance-sheet-US"]
7)
8print(sheet)
9# → {"ticker": "AMZN", "date": "2025-03-31", "content": {"assets": {...}, "liabilities": {...}, "equity": {...}}}
10

4. Income Statement Analysis

Dataset: valyu/valyu-income-statement-US

Full P&L details—revenue, COGS, SG&A, operating income, net profit—and all subtotals.

1from valyu import Valyu
2
3valyu = Valyu(api_key="YOUR_API_KEY")
4statement = valyu.search(
5 query="Microsoft income statement FY 2024",
6 included_sources=["valyu/valyu-income-statement-US"]
7)
8print(statement)
9# → {"ticker": "MSFT", "date": "2024-12-31", "content": {"revenue": 204e9, "cogs": 65e9, "sg&a": 45e9, "netIncome": 72e9}}

5. Cash Flow Visibility

Dataset: valyu/valyu-cash-flow-US

Track cash from operations, investing, and financing to understand liquidity and runway.

1from valyu import Valyu
2
3valyu = Valyu(api_key="YOUR_API_KEY")
4cash_flow = valyu.search(
5 query="Net cash from operating activities Apple Q3 2025",
6 included_sources=["valyu/valyu-cash-flow-US"]
7)
8print(cash_flow)
9# → {"ticker": "AAPL", "date": "2025-09-30", "content":{"operating": 35e9, "investing": -10e9, "financing": -15e9}}
10

6. Dividend Histories

Dataset: valyu/valyu-dividends-US

Access historical dividend amounts, yields, and declaration dates—ideal for income strategies.

1from valyu import Valyu
2
3valyu = Valyu(api_key="YOUR_API_KEY")
4dividends = valyu.search(
5 query="2-year dividend history of Coca-Cola",
6 included_sources=["valyu/valyu-dividends-US"]
7)
8print(dividends)
9# → {"ticker": "KO", "content": [{"date":"2025-02-15","dividend":0.44},…]}

7. Insider Transaction Logs

Dataset: valyu/valyu-insider-transactions-US

Detailed insider buys and sells, filterable by officer, director, or major shareholder.

1from valyu import Valyu
2
3valyu = Valyu(api_key="YOUR_API_KEY")
4insider = valyu.search(
5 query="Insider buys by Tesla executives last 3 months",
6 included_sources=["valyu/valyu-insider-transactions-US"]
7)
8print(insider)
9# → {"ticker": "TSLA", "content": [{"type":"buy","shares":10000,…},…]}

8. Market Movers at a Glance

Dataset: valyu/valyu-market-movers-US

Up‑to‑the‑minute lists of top gainers, losers, and highest volume stocks across sectors.

1from valyu import Valyu
2
3valyu = Valyu(api_key="YOUR_API_KEY")
4movers = valyu.search(
5 query="today’s top 5 gainers over $100",
6 included_sources=["valyu/valyu-market-movers-US"]
7)
8print(movers)
9# → {"ticker":"XYZ", "content":[{"change":12.5},…]}

9. SEC Filings

Dataset: valyu/valyu-sec-filings

Full‑text or items from 10-Ks, 10-Qs, 8-Ks. Just query it in natural language.

1from valyu import Valyu
2
3valyu = Valyu(api_key="YOUR_API_KEY")
4filings = valyu.search(
5 query="risk factors in Google’s latest 10-K",
6 included_sources=["valyu/valyu-sec-filings"]
7)
8print(filings)
9# → {"ticker":"GOOGL","content":"Section 1A Risk Factors: ..."}

Getting Started

The datasets are live in DeepSearch V2 now. Just pass your query and the DeepSearch API will retrieve the relevant data. To restrict results to the new datasets, pass dataset IDs in your included_sources array and start querying. Check out the financial search guide on how to best integrate this update into your applications!

What’s Next

  • 🌍 Global Expansion: European & Asian markets coming later this year!
  • 🏢 Private Market Data: Research companies not publicly listed or reported.
  • 💊 Medical Update: We are expanding our coverage for the medical domain soon, stay tuned!

Got feedback or need help? Reach out at founders@valyu.network. Happy querying!