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Pay only for what you use. Transparent pricing with no hidden fees.

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Search API Pricing

Pay per retrieval with CPM (Cost Per Mille) pricing.

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Cost Control

Set your maximum price per thousand retrievals to control spending: 
from valyu import Valyu

valyu = Valyu(api_key="your-api-key-here")

response = valyu.search(
    "Implementation details of agentic search-enhanced large reasoning models",
    max_num_results=5,
    max_price=30  # Optional: Maximum CPM
)
If max_price is set, the total CPM cost will be equal to or lower than your limit. If your max price is too low, you’ll get a partial response: 
{
    "response_code": 206,  # Partial success
    "success": true,
    "error": "3 data points were removed for too low max_price",
    ...
}

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Pricing Tiers

Data Source TypePrice (per 1k retrievals)What You Get
Open Databases$0.50Full-text content from arXiv, Wikipedia, PubMed, and more
Web Search$1.50Fresh, full-text web content
Financial & Market Data$8.00Real-time equities, crypto, and market data
Proprietary Databases$30-50Licensed journals, books, and premium sources

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Content API Pricing

Pay per successful URL. Simple pricing for content extraction.

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Pricing Tiers

FeaturePrice per URLDescription
Base Extraction$0.001Clean content extraction
AI Processing+$0.001Summarisation or structured extraction
Failed URLs$0.00No charge for failures

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Fair Pricing

Only pay for URLs that are successfully processed.

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Examples

Basic Extraction (10 URLs)
  • Base extraction: 10 × 0.001=0.001 = 0.01
  • Total: $0.01
AI Processing (5 URLs with summary) 
{"summary": "Summarise key points"}
  • Base extraction: 5 × 0.001=0.001 = 0.005
  • AI processing: 5 × 0.001=0.001 = 0.005
  • Total: $0.01
Mixed Success (10 URLs, 2 failed)
  • Successful: 8 × 0.001=0.001 = 0.008
  • Failed: 2 × 0.00=0.00 = 0.00
  • Total: $0.008

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Answer API Pricing

Dual pricing for search data and AI processing. The Answer API combines search with AI to give you intelligent responses.

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Pricing Structure

Search Data Costs
  • Same as Search API pricing (see above)
  • Controlled by data_max_price parameter (CPM)
AI Processing Costs
  • $12 per million tokens for analysis and response generation
  • Includes input and output tokens
  • Separate from search costs

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Calculating Your Cost

Search Data Cost = Number of results × Price per 1k retrievals AI Processing Cost = Number of tokens × $12/1M tokens Total Cost = Search Data Cost + AI Processing Cost

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Examples

Basic Web Query 
{
  "query": "latest AI developments",
  "data_max_price": 20.0
}
  • Search data: ~10 results × 1.50/1000=1.50/1000 = 0.015
  • AI processing: ~2000 tokens × 12/1M=12/1M = 0.024
  • Total: ~$0.039
Research Query (Academic Sources) 
{
  "query": "quantum computing applications",
  "search_type": "proprietary",
  "data_max_price": 20.0
}
  • Search data: ~5 papers × 1/1000=1/1000 = 0.005
  • AI processing: ~4000 tokens × 12/1M=12/1M = 0.048
  • Total: ~$0.053
Structured Output Query 
{
  "query": "tech company earnings",
  "structured_output": {...},
  "data_max_price": 30.0
}
  • Search data: ~8 results × 8/1000=8/1000 = 0.064
  • AI processing: ~3000 tokens × 12/1M=12/1M = 0.036
  • Total: ~$0.10

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Get Started

Try the API Free

Get $10 in free credits

Documentation

Integrate in under 5 minutes

Answer API Guide

Build AI-powered applications

Content Extraction

Extract web content at scale