The Missing Search Layer in Your Deepgram Voice Stack
Deepgram's engineering teams have built Nova-3, Flux, and Aura-2 into a complete voice agent stack—sub-300ms transcription, natural turn-taking, and sub-200ms speech synthesis—so agents can listen, act, and respond in real time. You.com adds an enterprise-grade AI search layer, delivering real-time, cited answers fast enough to fit within that same latency budget without becoming a bottleneck.
Powering web search for leading enterprises.





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Tailored to find, synthesize and ship.
Search API
Take advantage of the world’s best Search API, delivering real-time results at record speed.
from youdotcom import You
with You("<apiKey>") as you:
res = you.search.unified(
query="best practices for scaling microservices architecture in production",
)
# Each result contains a title, URL, snippets and more
if res.results and res.results.web:
for result in res.results.web:
print(f"Title: {result.title}")
print(f"URL: {result.url}")
if result.snippets:
print(f"Snippet: {result.snippets[0]}\n")Contents API
Fetch full page content for multiple URLs, streamlining content aggregation and analysis across various sources.
from youdotcom import You
from youdotcom.models import ContentsFormats
with You("<apiKey>") as you:
res = you.contents.generate(
urls=[
"https://www.python.org",
"https://www.example.com",
],
formats=[ContentsFormats.HTML],
)
# Access the full page content in your chosen format
for page in res:
print(f"Title: {page.title}")
print(f"HTML: {page.html}...")Research API
Our tiered Research API—#1 in DeepSearchQA—pushes the frontier of accuracy and latency across both simple and complicated tasks.
from youdotcom import You
from youdotcom.models import ResearchEffort
you = You(api_key_auth="api_key")
res = you.research(
input="Which global cities improved air quality the most over the past 10 years, and what measurable actions contributed?",
research_effort=ResearchEffort.LITE,
)
print(res.output.content)
for i, source in enumerate(res.output.sources, 1):
print(f"[{i}] {source.title or 'Untitled'}: {source.url}")Finance Research API
Our Finance Research API delivers cited, source-reconciled financial intelligence across filings, macro data, and multi-step calculations. No infra required.
import requests
url = "https://api.you.com/v1/finance_research"
headers = {
"X-API-Key": "<YOUR_API_KEY>",
"Content-Type": "application/json",
}
payload = {
"input": "Compare the free cash flow generation and capital allocation strategies of Apple, Microsoft, and Alphabet over the past three fiscal years",
"research_effort": "deep",
}
response = requests.post(url, headers=headers, json=payload)
response.raise_for_status()
data = response.json()
print(data["output"]["content"])
for i, source in enumerate(data["output"]["sources"], 1):
print(f"[{i}] {source.get('title') or 'Untitled'}: {source['url']}")p50 response time — fastest among peers
Real-time accuracy on LiveQA — vs. Tavily 74%, Exa 68%
SimpleQA accuracy among search APIs
API customers to date
Deepgram's AI engineering workflows
See How It Works
Giving voice agents built on Flux and Nova-3 live, cited web context to answer what they just heard while keeping conversational responses accurate and within the same latency budget their streaming stack is tuned for.
Zero Data Retention
All queries and data can be automatically purged—giving you complete control over what’s stored and for how long.
SOC 2 Certified
Our infrastructure is independently audited to ensure best-in-class data security, privacy, and availability.
DPA-Ready
Designed to seamlessly accommodate Data Processing Agreements.
Custom QPS Limits
Enterprise-grade concurrency with performance optimization requirements for high-volume usage are available.
Trusted by Engineering Teams Like Yours

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