The best web search for your AI model
The highest accuracy web search API, built from the ground up for AIs. Retrieve ranked results with token-efficient excerpts your agents can reason over directly.
from parallel import Parallel
client = Parallel(api_key="PARALLEL_API_KEY")
# Declare semantic objective, not just keywords
response = client.search(
query="YC S25 AI startups building humanoid foundation models",
objective="Find company name, founding team background, and raised capital",
num_results=10,
extract_mode="compressed_markdown"
)
for result in response.results:
print(f"Title: {result.title}")
print(f"URL: {result.url}")
print(f"Relevance: {result.relevance_score}")
print(f"Tokens: {result.token_count} (78% savings)")
print(f"Excerpt:\n{result.markdown_excerpt}\n")An agent is only as good as its context
Traditional search APIs were built for human blue links. Parallel Search is built for autonomous agent runtimes.
Declare semantic objectives, not just keywords
Pass high-level research objectives alongside your query. Our agentic parser identifies what information your downstream LLM requires and eliminates irrelevant web noise.
Get back URLs ranked for token relevancy
Parallel surfaces the most information-dense pages for the agent's next action. Avoid paying inference costs on low-signal generic portals and SEO landing pages.
Reason on compressed token-efficient excerpts
Each URL is distilled into verified markdown snippets optimized for prompt injection, achieving 60-80% token savings while boosting citation ground truth.
We optimize every web search token in the context window
This means agent responses are more accurate, hallucinate less, and cost significantly fewer tokens.
HLE Search
Humanity's Last Exam benchmark for complex multimodal and deep reasoning over the open web.
Powered by our own proprietary web-scale index
With deep architectural innovations in neural retrieval, continuous crawling, inverted indexing, and semantic reranking.
- Billions of documents covering the full depth and breadth of the public web
- Millions of high-priority pages refreshed daily for breaking news and financial filings
- Aggressive domain-level anti-spam and content quality verification
- Zero reliance on third-party search engines or rate-limited web proxies
Every control you need across any web page
Domain Filtering
Whitelist or blacklist specific domains or top-level domains (.gov, .edu, .io).
Date & Freshness
Filter by exact publish dates, relative ranges (past hour, 24h, 7d), or recency weight.
Extraction Modes
Return clean compressed markdown, raw HTML, validated JSON, or text token snippets.
Content Verification
Enforce strict anti-hallucination thresholds and verified source URL groundings.
Secure and trusted by enterprise AI teams
Zero Data Retention
Queries and extracted data are processed ephemerally with zero logging or secondary storage.
SOC 2 Type II
Independently audited and certified for enterprise security, availability, and confidentiality.
No Training
Your prompts and API payloads are never used to train public foundation models or shared datasets.