├─ Find information across multiple sources │ └─ Use Search API │ ├─ Extract content from specific URLs │ └─ Use Contents API │ ├─ Get an AI-synthesized answer with citations │ └─ Use Answer API │ ├─ Generate a comprehensive research report │ └─ Use DeepResearch API │ └─ Discover available data sources └─ Use Datasources API


---

## ⚠️ MANDATORY: Use Official Valyu SDK Libraries

**CRITICAL: When writing code that uses the Valyu API, you MUST use the official SDK libraries. NEVER make raw HTTP/fetch calls to the Valyu API endpoints.**

### JavaScript/TypeScript: `valyu-js`

```bash
npm install valyu-js
# or
pnpm add valyu-js

import { Valyu } from 'valyu-js';

const valyu = new Valyu(process.env.VALYU_API_KEY);

// Now use valyu.search(), valyu.contents(), valyu.answer(), valyu.deepResearch

Python: `valyu`

pip install valyu
# or
uv add valyu

from valyu import Valyu

valyu = Valyu(api_key=os.environ.get("VALYU_API_KEY"))

# Now use valyu.search(), valyu.contents(), valyu.answer(), valyu.deep_research

Why SDK Over Raw API Calls?

Type safety - Full TypeScript/Python type hints for all parameters and responses
Automatic retries - Built-in retry logic for transient failures
Streaming support - Proper async iterator support for streaming responses
Error handling - Structured error types with helpful messages
Future compatibility - SDK updates handle API changes automatically

❌ NEVER Do This

// DON'T make raw fetch calls
const response = await fetch('https://api.valyu.ai/v1/search', {
  method: 'POST',
  headers: {
    'x-api-key': apiKey,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({ query: '...' })
});

✅ Always Do This

// DO use the SDK
import { Valyu } from 'valyu-js';

const valyu = new Valyu(process.env.VALYU_API_KEY);
const response = await valyu.search({ query: '...' });

1. Search API

Purpose: Find information across web, academic, medical, transportation, financial, news, and proprietary sources.

When to Use

Finding recent information on any topic
Academic research (arXiv, PubMed, bioRxiv, medRxiv)
Financial data (SEC filings, earnings reports, stock data)
News monitoring and current events
Healthcare data (clinical trials, drug labels)
Prediction markets (Polymarket, Kalshi)
Transportation (UK National Rail, Global Shipping)

Basic Usage

const response = await valyu.search({
  query: "transformer architecture attention mechanism 2024",
  searchType: "all",
  maxNumResults: 10
});

Search Types

Type	Use For
`all`	Everything - web, academic, financial, proprietary
`web`	General internet content only
`proprietary`	Licensed academic papers and research
`news`	News articles and current events

Key Parameters

Parameter (TS/JS)	Parameter (Python)	Purpose	Example
`query`	`query`	Search query (under 400 chars)	`"CRISPR gene editing 2024"`
`searchType`	`search_type`	Source scope	`"all"`, `"web"`, `"proprietary"`, `"news"`
`maxNumResults`	`max_num_results`	Number of results (1-20)	`10`
`includedSources`	`included_sources`	Limit to specific sources	`["valyu/valyu-arxiv", "valyu/valyu-pubmed"]`
`startDate` / `endDate`	`start_date` / `end_date`	Date filtering	`"2024-01-01"`
`relevanceThreshold`	`relevance_threshold`	Minimum relevance (0-1)	`0.7`

Domain-Specific Search Patterns

Academic Research:

await valyu.search({
  query: "CRISPR therapeutic applications clinical trials",
  searchType: "proprietary",
  includedSources: ["valyu/valyu-arxiv", "valyu/valyu-pubmed", "valyu/valyu-biorxiv"],
  startDate: "2024-01-01"
});

Financial Analysis:

await valyu.search({
  query: "Apple revenue Q4 2024 earnings",
  searchType: "all",
  includedSources: ["valyu/valyu-sec-filings", "valyu/valyu-earnings-US"]
});

News Monitoring:

await valyu.search({
  query: "AI regulation EU",
  searchType: "news",
  startDate: "2024-06-01",
  countryCode: "EU"
});

Search Recipes

For detailed patterns, see:

2. Contents API

Purpose: Extract clean, structured content from web pages optimized for LLM processing.

When to Use

Converting web pages to clean markdown
Extracting article text for summarization
Parsing documentation for RAG systems
Structured data extraction from product pages
Processing academic papers

Basic Usage

const response = await valyu.contents({
  urls: ["https://example.com/article"]
});

With Summarization

const response = await valyu.contents({
  urls: ["https://arxiv.org/abs/2401.12345"],
  summary: "Extract key findings in 3 bullet points"
});

Structured Extraction (JSON Schema)

const response = await valyu.contents({
  urls: ["https://example.com/product"],
  summary: {
    type: "object",
    properties: {
      product_name: { type: "string" },
      price: { type: "number" },
      features: { type: "array", items: { type: "string" } }
    },
    required: ["product_name", "price"]
  }
});

Key Parameters

Parameter (TS/JS)	Parameter (Python)	Purpose	Example
`urls`	`urls`	URLs to process (1-10)	`["https://example.com"]`
`responseLength`	`response_length`	Content length	`"short"`, `"medium"`, `"large"`, `"max"`
`extractEffort`	`extract_effort`	Extraction quality	`"normal"`, `"high"`, `"auto"`
`summary`	`summary`	AI summarization	`true`, `"instructions"`, or JSON schema
`screenshot`	`screenshot`	Capture screenshots	`true`

Content Recipes

For detailed patterns, see:

3. Answer API

Purpose: Get AI-powered answers grounded in real-time search results with citations.

When to Use

Questions requiring current information synthesis
Multi-source fact verification
Technical documentation questions
Research requiring cited sources
Structured data extraction from search results

Basic Usage

const response = await valyu.answer({
  query: "What are the latest developments in quantum computing?"
});

With Fast Mode (Lower Latency)

const response = await valyu.answer({
  query: "Current Bitcoin price and 24h change",
  fastMode: true
});

With Custom Instructions

const response = await valyu.answer({
  query: "Compare React and Vue for enterprise applications",
  systemInstructions: "Provide a balanced comparison with pros and cons. Format as a comparison table."
});

With Streaming

const stream = await valyu.answer({
  query: "Explain transformer architecture",
  streaming: true
});

for await (const chunk of stream) {
  // Handle: search_results, content, metadata, done, error
  console.log(chunk);
}

Structured Output

const response = await valyu.answer({
  query: "Apple Q4 2024 financial highlights",
  structuredOutput: {
    type: "object",
    properties: {
      revenue: { type: "string" },
      growthRate: { type: "string" },
      keyHighlights: { type: "array", items: { type: "string" } }
    }
  }
});

Key Parameters

Parameter (TS/JS)	Parameter (Python)	Purpose	Example
`query`	`query`	Question to answer	`"What is quantum computing?"`
`fastMode`	`fast_mode`	Lower latency	`true`
`systemInstructions`	`system_instructions`	AI directives	`"Be concise"`
`structuredOutput`	`structured_output`	JSON schema	`{type: "object", ...}`
`streaming`	`streaming`	Enable SSE streaming	`true`
`dataMaxPrice`	`data_max_price`	Dollar limit	`1.0`

Answer Recipes

For detailed patterns, see:

4. DeepResearch API

Purpose: Generate comprehensive research reports with detailed analysis and citations.

When to Use

Comprehensive market analysis
Literature reviews
Competitive intelligence
Technical deep dives
Topics requiring multi-source synthesis

Research Modes

Mode	Duration	Best For
`fast`	~5 minutes	Quick lookups, simple questions
`standard`	~10-20 minutes	Balanced research (most common)
`heavy`	~90 minutes	Comprehensive analysis, complex topics

Create Research Task

const task = await valyu.deepResearch.create({
  query: "AI chip market competitive landscape 2024",
  model: "standard"
});
// Returns: { deepresearch_id: "abc123", status: "queued" }

Poll for Completion

const status = await valyu.deepResearch.getStatus(task.deepresearch_id);
// status: "queued" | "running" | "completed" | "failed" | "cancelled"

if (status.status === "completed") {
  console.log(status.output);  // Markdown report
  console.log(status.sources); // Cited sources
  console.log(status.pdf_url); // PDF download link
}

Key Parameters

Parameter (TS/JS)	Parameter (Python)	Purpose	Example
`query`	`query`	Research question	`"AI market trends 2024"`
`model`	`model`	Research depth	`"fast"`, `"standard"`, `"heavy"`
`outputFormat`	`output_format`	Report format	`"markdown"`, `"pdf"`
`includedSources`	`included_sources`	Source filtering	`["valyu/valyu-arxiv", "techcrunch.com"]`
`startDate` / `endDate`	`start_date` / `end_date`	Date range	`"2024-01-01"`

DeepResearch Recipes

For detailed patterns, see:

5. Query Writing Best Practices

Core Principles

Be specific - Use domain terminology
Be concise - Keep queries under 400 characters
Be focused - One topic per query
Add constraints - Include timeframes, source types

Query Anatomy

Element	Description	Example
Intent	What you need	"latest advancements" vs "overview"
Domain	Topic terminology	"transformer architecture"
Constraints	Filters	"2024", "peer-reviewed"
Source type	Where to look	academic papers, SEC filings

Good vs Bad Queries

BAD:  "I want to know about AI"
GOOD: "transformer attention mechanism survey 2024"

BAD:  "Apple financial information"
GOOD: "Apple revenue growth Q4 2024 earnings SEC filing"

BAD:  "gene editing research"
GOOD: "CRISPR off-target effects therapeutic applications 2024"

Split Complex Requests

# Don't do this
"Tesla stock performance, new products, and Elon Musk statements"

# Do this instead
Query 1: "Tesla stock performance Q4 2024"
Query 2: "Tesla Cybertruck production updates 2024"
Query 3: "Tesla FSD autonomous driving progress"

Source Filtering

Use includedSources for domain authority: Financial Research Collection. Some sources to include:

valyu/valyu-sec-filings - SEC regulatory filings
valyu/valyu-stocks - Stock market data
valyu/valyu-earnings-US - Earnings reports
reuters.com - Financial news
bloomberg.com - Market analysis Medical Research Collection. Some sources to include:
valyu/valyu-pubmed - Medical literature
valyu/valyu-clinical-trials - Clinical trial data
valyu/valyu-drug-labels - FDA drug information
nejm.org - New England Journal of Medicine
thelancet.com - The Lancet Tech Documentation Collection. Some sources to include:
docs.aws.amazon.com - AWS documentation
cloud.google.com/docs - Google Cloud docs
learn.microsoft.com - Microsoft docs
kubernetes.io/docs - Kubernetes docs
developer.mozilla.org - MDN Web Docs

// Academic
includedSources: ["valyu/valyu-arxiv", "valyu/valyu-pubmed", "nature"]

// Financial
includedSources: ["valyu/valyu-sec-filings", "bloomberg.com", "reuters.com"]

// Tech news
includedSources: ["techcrunch.com", "theverge.com", "arstechnica.com"]

For complete prompting guide, see references/prompting.md.

6. Common Workflows

Research Workflow

// 1. Quick search to find sources
const searchResults = await valyu.search({
  query: "CRISPR therapeutic applications",
  searchType: "proprietary",
  maxNumResults: 20
});

// 2. Extract key content from top results
const contents = await valyu.contents({
  urls: searchResults.results.slice(0, 3).map(r => r.url),
  summary: "Extract key findings"
});

// 3. Deep analysis for comprehensive report
const research = await valyu.deepResearch.create({
  query: "CRISPR therapeutic applications comprehensive review",
  model: "heavy"
});

Financial Analysis Workflow

// 1. Get SEC filings
const filings = await valyu.search({
  query: "Apple 10-K 2024",
  includedSources: ["valyu/valyu-sec-filings"]
});

// 2. Quick synthesis
const summary = await valyu.answer({
  query: "Apple Q4 2024 financial highlights",
  fastMode: true
});

// 3. Structured extraction
const metrics = await valyu.answer({
  query: "Apple financial metrics 2024",
  structuredOutput: {
    type: "object",
    properties: {
      revenue: { type: "string" },
      netIncome: { type: "string" },
      growthRate: { type: "string" }
    }
  }
});

7. Available Data Sources

Valyu provides access to 25+ specialized datasets:

Category	Examples
Academic	arXiv (2.5M+ papers), PubMed (37M+), bioRxiv, medRxiv
Financial	SEC filings, earnings transcripts, stock data, crypto
Healthcare	Clinical trials, DailyMed, PubChem, drug labels, ChEMBL, DrugBank, Open Target, WHO ICD
Economic	FRED, BLS, World Bank, US Treasury, Destatis
Predictions	Polymarket, Kalshi
Patents	US patent database
Transportation	UK Rail, Ship Tracking

For complete datasource reference, see references/datasources.md.

8. API Reference

For complete API documentation including all parameters, response structures, and error codes, see references/api-guide.md.

9. Integration Guides

Platform-specific integration documentation:

Python: valyu

Why SDK Over Raw API Calls?

❌ NEVER Do This

✅ Always Do This

1. Search API

When to Use

Basic Usage

Search Types

Key Parameters

Domain-Specific Search Patterns

Search Recipes

2. Contents API

When to Use

Basic Usage

With Summarization

Structured Extraction (JSON Schema)

Key Parameters

Content Recipes

3. Answer API

When to Use

Basic Usage

With Fast Mode (Lower Latency)

With Custom Instructions

With Streaming

Structured Output

Key Parameters

Answer Recipes

4. DeepResearch API

When to Use

Research Modes

Create Research Task

Poll for Completion

Key Parameters

DeepResearch Recipes

5. Query Writing Best Practices

Core Principles

Query Anatomy

Good vs Bad Queries

Split Complex Requests

Source Filtering

6. Common Workflows

Research Workflow

Financial Analysis Workflow

7. Available Data Sources

8. API Reference

9. Integration Guides

Additional Resources

Python: `valyu`

valyu-best-practices

Valyu Best Practices

Quick Reference: Choosing the Right API