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Looking for a search API that combines semantic search with access to proprietary data? Valyu provides Exa-style semantic search plus 36+ proprietary data sources that neural search alone can’t reach.

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Valyu vs Exa Comparison

FeatureValyuExa
Semantic SearchYesYes
Web SearchYesYes
Proprietary Data Sources36+ sourcesLimited
Academic PapersPubMed, arXiv, bioRxiv (40M+ papers)Limited
SEC Filings3M+ filings with full-text searchNo
Clinical Trials500K+ trials from ClinicalTrials.govNo
Financial DataReal-time stocks, crypto, forexNo
Drug DatabasesChEMBL, DrugBank, FDA labelsNo
Patent Search8M+ US patentsNo
Economic DataFRED, BLS, World BankNo

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Why Teams Switch to Valyu

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1. Proprietary Data Access

Exa excels at neural search over the web. Valyu adds access to data sources that aren’t publicly indexed:
  • 37M+ PubMed papers - Full-text biomedical literature
  • 3M+ SEC filings - Corporate disclosures with semantic search
  • 500K+ clinical trials - Study protocols and outcomes
  • 2.5M+ ChEMBL molecules - Drug discovery data
  • 8M+ patents - IP and prior art search

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2. Better for Specialized Domains

For AI agents in finance, healthcare, or research, you need more than web search: 
from valyu import Valyu

valyu = Valyu()

# Semantic search across proprietary biomedical data
response = valyu.search(
    "CRISPR delivery mechanisms for therapeutic gene editing",
    search_type="proprietary",
    included_sources=["valyu/valyu-pubmed", "valyu/valyu-clinical-trials"],
    max_num_results=20
)

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3. Structured Data Support

Valyu returns structured data alongside unstructured content: 
# Get structured financial data
response = valyu.search(
    "NVIDIA quarterly revenue 2024",
    search_type="proprietary",
    included_sources=["valyu/valyu-earnings-US"]
)

# Returns structured JSON with revenue figures
print(response.results[0].content)

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When to Choose Valyu Over Exa

Choose Valyu if you need:
  • Domain-specific data - Healthcare, finance, academic, patents
  • Proprietary sources - Data behind paywalls and APIs
  • Structured data - Financial metrics, clinical trial data, drug properties
  • Full-text academic search - Beyond abstracts into paper content
  • Deep research - Multi-step research with comprehensive reports
Choose Exa if you only need:
  • Neural search over publicly available web content

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Code Comparison

from valyu import Valyu

valyu = Valyu()

# Search web + proprietary sources
response = valyu.search(
    "transformer attention mechanisms",
    search_type="all",
    max_num_results=10
)

for result in response.results:
    print(f"Title: {result.title}")
    print(f"Source: {result.source}")  # Shows web vs proprietary
    print(f"Content: {result.content[:200]}...")

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Benchmark Performance

Valyu outperforms alternatives on domain-specific benchmarks:
BenchmarkValyuExaGoogle
FreshQA (time-sensitive)79%24%39%
SimpleQA (factual)94%91%38%
Finance73%63%55%
MedAgent (medical)48%44%45%

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Data Sources

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