Web search, content extraction, and research APIs for AI agents and LLMs
You.com is a web search and data API platform for AI developers building agents, LLMs, and data pipelines.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.Developers integrate You.com APIs into their AI applications using a Python SDK or direct HTTP calls. The primary workflow involves sending a query or list of URLs to one of four APIs — Search, Contents, Research, or Finance Research — and receiving structured results including titles, URLs, snippets, full HTML, or cited answer content. Each API is scoped to a different use case: raw search results, page content fetching, general research synthesis, or financial intelligence.
The platform highlights four distinct API products. The Search API delivers real-time web results and claims 300ms p99 latency, described as twice as fast as unnamed competitors. The Contents API fetches full page content from multiple URLs in configurable formats including HTML. The Research API produces synthesized, sourced answers and is tiered by research effort (e.g., LITE mode). The Finance Research API generates cited financial analysis across SEC filings and macro data without requiring additional infrastructure, and the company states it ranks first on the FinSearchComp benchmark.
You.com's API products are aimed at AI developers, enterprise engineering teams, and companies building AI agents or research tooling. Named customers include DuckDuckGo, Alibaba, and Amazon. Pricing details are not disclosed on the homepage, but a free trial is available. Enterprise tiers include SOC2 certification, zero data retention options, Data Processing Agreement support, and custom queries-per-second limits.
The platform is web-based and accessed entirely via API. The Python SDK is available via the youdotcom package. The API infrastructure claims 99.99% uptime and handles over 10 million daily queries. All API responses include source attribution, which the platform positions as a requirement for grounded AI output.
Research and Finance Research API responses include enumerated cited sources with titles and URLs for every generated answer.
Allows callers to set research effort (e.g., LITE or deep) to tune the trade-off between latency and answer depth when querying the Research or Finance Research APIs.
Delivers cited, source-reconciled financial intelligence covering filings, macro data, and multi-step calculations such as comparing free cash flow across companies.
A tiered research API ranked #1 in DeepSearchQA that generates grounded, cited answers for both simple and complex queries with configurable research effort levels.
Fetches full page content for multiple URLs in formats such as HTML, enabling content aggregation and analysis across various sources.
Indexes 10M+ news sources and serves 10M+ daily queries to provide fresh, up-to-date web data for AI pipelines and agents.
Delivers real-time web search results at record speed, returning titles, URLs, and snippets for use in AI agents and LLMs.
Provides enterprise-grade concurrency and performance optimization with configurable queries-per-second limits for high-volume usage scenarios.
Designed to seamlessly accommodate Data Processing Agreements for enterprise compliance requirements.
Infrastructure is independently audited to ensure best-in-class data security, privacy, and availability standards are met.
Automatically purges all queries and data on demand, giving users complete control over what is stored and for how long.
For casual users — AI search and YouChat with daily limits and limited model access.
For power users who want unlimited AI queries; $15/mo when billed annually.
Brings YouPro to an organization (up to 100 seats) with shared billing and user management; per-seat price not published — contact the vendor.
Pricing requires contacting the vendor. For 50+ users — volume pricing, advanced security, analytics, permission controls and dedicated onboarding.
For developers — web and news search results priced at $5 per 1,000 calls (includes $100 free credit).
For developers — clean page extraction at $1 per 1,000 pages.
For developers — cited, source-backed research answers from $12 per 1,000 calls (Lite/Standard/Deep/Exhaustive/Frontier tiers).
For developers — financial research over filings and market data from $110 per 1,000 calls (Deep/Exhaustive tiers).
DuckDuckGo runs on this. That's your proof-of-concept.
“You.com has real customers, real benchmarks, and transparent API pricing starting at $1 per 1,000 pages. The Finance Research API at $110 per 1,000 calls is expensive, but it's purpose-built in a way Serper and Tavily aren't.”
DuckDuckGo and Alibaba aren't running pilots — they're in production. 10M+ daily queries at 99.99% uptime and 300ms p99 latency are numbers I can defend to a board. That's not a startup promise. That's an infrastructure story.
The four-API structure is smart: Search at $5, Contents at $1, Research at $12, Finance Research at $110 — all per 1,000 calls. You pay for depth, not seats. The tradeoff is the Finance Research tier costs real money at scale, so validate the call volume before you commit.
SOC2 certified, zero data retention, DPA-ready. That's the enterprise checklist done. No public funding data, but the customer roster and query volume suggest they're not running on fumes.
Benchmarks first on DeepSearchQA and FinSearchComp — Serper and Tavily don't have a Finance Research equivalent at any price.
SOC2 certified, DPA-ready, zero data retention — the compliance story is clean and the customer names are respectable.
Python SDK, $100 free credit on Search API, and a free trial mean a working integration in hours, not weeks.
Finance Research API and DeepSearchQA-ranked Research API advance AI agent capabilities — this isn't just cost substitution.
No public funding data, but DuckDuckGo and Amazon as named customers plus 10M+ daily queries suggest durable commercial traction.
AI engineering teams building research agents or financial intelligence tools who need grounded, cited answers fast.
Your use case is high-volume commodity search and $5 per 1,000 calls doesn't pencil out against Serper's rates.
Four scoped APIs, 300ms p99, and DuckDuckGo as a reference customer — this is real infrastructure.
“You.com has built a credible, layered API surface for grounding AI agents in real-time web data. The Finance Research API at $110/1,000 calls is the most differentiated asset in the stack.”
Four discrete APIs — Search, Contents, Research, Finance Research — each with a defined contract and pricing tier. That's clean API design, not a monolith with feature flags. Someone thought about separation of concerns before they thought about the sales deck. The youdotcom Python SDK plus direct HTTP access means your team isn't locked into a thick client layer.
The lock-in lives in the Research API's synthesis logic, not the transport layer. If you build agent pipelines that depend on You.com's cited-answer format, swapping to Tavily or Exa means re-engineering your grounding layer, not just rotating an API key. At $12/1,000 calls for Research and $110/1,000 for Finance, cost modeling matters at scale — budget that before you architect around Exhaustive or Frontier tiers.
SOC2 certification, zero data retention, and DPA support clear the enterprise procurement bar. 99.99% uptime with 10M+ daily queries isn't a claim DuckDuckGo would let stand if it were fiction. If we adopt this for financial agent workflows, in 3 years we have a defensible, auditable grounding layer — assuming benchmark rankings hold.
Finance Research API at $110/1,000 calls carves a distinct lane from Tavily and Exa, both of which lack purpose-built financial filing coverage.
Configurable QPS limits, zero data retention, and DPA-ready compliance map directly to how enterprise engineering teams actually buy and operate API infrastructure.
Python SDK via youdotcom package, REST access, and MCP Server support cover the three surfaces most AI pipeline teams will actually touch.
Cited-answer schema creates real switching friction if You.com's synthesis quality drifts or pricing jumps — the grounding layer becomes load-bearing fast.
Four purpose-scoped APIs with tiered research effort levels and a #1 DeepSearchQA ranking signal genuine investment in retrieval architecture, not just search pass-through.
Engineering teams building financial or research AI agents that need cited, grounded answers with enterprise compliance baked in.
Your use case is simple keyword search augmentation where Tavily's lower per-call cost and lighter integration surface is sufficient.
$5 per 1K searches, Finance API hits $110 — know which tier you're buying
“Four distinct APIs with published per-call rates. Team and Enterprise seats still require a sales call.”
Search API: $5/1K calls. Contents: $1/1K pages. Research: $12/1K calls. Finance Research: $110/1K calls. Developer tier math is visible and honest — rare for this category. $100 free credit on Search softens onboarding cost.
At 50K Research calls/month, that's $600/month, $7,200/year, $21,600 over 3 years. Finance Research at the same volume: $5,500/month. Volume matters fast. No published overage cap or enterprise rate card — that's the invoice risk. Compare to Perplexity API at tiered per-query pricing; You.com's Finance Research API is a differentiated product with no direct comp, based on their FinSearchComp benchmark claim.
Team tier: contact required, per-seat price unpublished. Enterprise: same. SOC2, zero data retention, and DPA support are present — procurement won't block it. But contract terms, auto-renewal windows, and termination clauses aren't visible. Standard opaque enterprise contract risk.
Usage-based billing with $100 free credit and SOC2 plus DPA support reduces procurement friction for developer and mid-market buyers.
No public auto-renewal terms, cancellation policy, or termination-for-convenience language visible anywhere on the pricing page.
Developer API rates are fully published; Team and Enterprise seat pricing requires a vendor call.
Cited source attribution, DeepSearchQA #1 ranking, and 300ms p99 latency give measurable performance anchors; DuckDuckGo and Amazon as named customers add credibility.
Finance Research API at $110/1K calls scales aggressively — 50K monthly calls = $66K/year before any seat or support costs.
AI engineering teams building grounded research agents who need cited, real-time web data at predictable per-call rates.
Your use case requires Finance Research at high volume — the cost curve hits $100K+/year fast.
Search API with real benchmark receipts and $5/1K pricing that holds up at scale
“You.com ships four scoped APIs — Search, Contents, Research, Finance Research — with cited sources baked into every response. The pricing is transparent, the latency claim is specific, and DuckDuckGo as a named customer carries weight.”
$5 per 1,000 Search API calls with $100 free credit to start. That's a workable number for prototyping without burning budget before you've shipped anything. The 300ms p99 latency claim isn't vague marketing — DuckDuckGo powering breaking news on that same infrastructure is a real stress test. The youdotcom Python SDK follows the pattern you'd expect: initialize with key, call you.search.unified(), get back titles, URLs, snippets. No ceremony.
The Research API tiers (LITE through Frontier) are the right abstraction. Tune latency vs depth per call rather than provisioning a separate pipeline. Finance Research at $110/1K calls is expensive, but covers SEC filings and multi-step calculations without standing up your own RAG stack. That's the tradeoff: you're paying for assembled infrastructure you'd otherwise build yourself.
No public changelog in the evidence. That's a yellow flag for a day-three workflow — can't track what broke or what shipped without changelog visibility. Compared to Tavily or SerpAPI, the cited-source-first design suggests someone building for grounded LLM output, not raw scraping. Docs exist but practitioner depth is unverified from available evidence.
Transparent per-call pricing, named production customers, and 99.99% uptime claim reduce day-three surprises, but no public changelog makes debugging regressions harder.
The first API call pattern is concrete and fast — initialize, call, get structured results — but changelog absence suggests docs may lag product.
Four distinct API endpoints with clear scoping reduces routing confusion, but enterprise QPS customization requires contacting sales, which adds friction for teams scaling fast.
Configurable research effort tiers (LITE/Standard/Deep/Exhaustive/Frontier) and custom QPS limits give real levers for production-grade tuning beyond basic usage.
youdotcom SDK, MCP Server, and REST API cover the three integration patterns engineers actually use in agent pipelines.
Engineering teams building grounded AI agents or research pipelines that need real-time web data with source attribution out of the box.
You need granular changelog visibility or transparent burst-rate pricing without a sales call.
Four sharp APIs, DuckDuckGo's trust, and pricing that's honest about depth
“You.com gives AI developers real-time web data, research synthesis, and a Finance Research API that handles SEC filings without extra infrastructure. The $110/1,000-call Finance API is expensive, but the use case earns it.”
The Search API at $5 per 1,000 calls with 300ms p99 latency is the kind of number that makes you stop and check twice. DuckDuckGo using it for breaking news isn't a logo on a landing page — that's load-tested trust. The free $100 credit on sign-up means a developer can actually stress-test this before committing, which is how it should work. The four-tier Research API with configurable depth levels — LITE through Frontier — is smart design. You pay for what you need.
The Finance Research API at $110 per 1,000 calls is the one that'll make a team pause. Compared to Perplexity's general research endpoints, it's purpose-built for filings and macro data, and the FinSearchComp benchmark claim gives it credibility. But the pricing page is doing heavy lifting where docs would help more.
This is an API product. Mobile parity and onboarding polish are secondary to latency and uptime — and 99.99% uptime across 10M daily queries is the real story. The tradeoff: zero UI to speak of, so non-developers won't find a foothold here.
Pricing page is clear and tiered well, but the changelog and blog aren't accessible from scraped evidence, which means daily developer trust-building is thin.
Four distinct APIs with different pricing and depth tiers require real time to map to use cases, but the tiered Research API structure is genuinely discoverable.
It's an API platform — mobile parity isn't really the point — but there's no developer console or dashboard evidence that works well on phone.
Free $100 credit, a Python SDK via youdotcom, and a three-line quickstart (install, init, call) is a fast, low-friction first ten minutes.
99.99% uptime claim backed by 10M+ daily queries and a named production customer in DuckDuckGo is unusually solid public evidence.
AI developers and engineering teams who need grounded, cited web or financial data inside agents or LLM pipelines.
You want a no-code research tool or need to evaluate claims without digging into benchmarks yourself.
Real customers, real benchmarks, real prices — mostly honest for this category
“You.com has DuckDuckGo and Amazon as named customers, published API pricing, and a specific benchmark claim. That's more than most API vendors show upfront.”
Three tells. One: 'The Leading Web Search APIs' headline — the kind of superlative that ages poorly if Exa or Tavily close the gap. Two: no changelog visible. Three: pricing plans mix consumer tiers (Pro at $20/mo) with developer APIs — suggests two products quietly sharing a brand. Could fragment the roadmap.
What's solid: $5 per 1,000 Search API calls, $1 for Contents, $12 for Research — all published, no 'contact us' gatekeeping at the entry tier. DeepSearchQA #1 claim is named and checkable. DuckDuckGo as a reference customer at 300ms p99 isn't fluff.
Big tradeoff: Finance Research at $110/1,000 calls is expensive if query volume scales. Exit portability is clean — standard REST plus youdotcom SDK, no proprietary lock. Serper and Exa are cheaper for raw search. If the Research API quality holds, there's a moat. That's a real if.
Finance Research API and FinSearchComp #1 claim carve a specific niche; raw Search API at $5/1k is competitive but Serper and Exa price similarly.
Standard REST API plus optional Python SDK; no proprietary data model means swapping to Serper or Exa is straightforward if direction shifts.
No public funding data visible, no changelog in scraped evidence — a watch item, though 10M daily queries and enterprise customers imply real revenue.
'The Leading' headline is unverifiable, but benchmark citations and named customers like DuckDuckGo keep the landing page grounded enough.
Named enterprise customers, SOC2, 10M+ daily queries, and a live consumer product suggest this isn't vaporware — pattern matches API survivors, not early shutdowns.
AI developers who need cited, grounded research output and can't build their own search-synthesis pipeline from scratch.
Your use case is high-volume raw web search only — Serper or Exa will likely be cheaper with similar quality.
Common questions answered by our AI research team
Yes, the Research API ranks #1 in DeepSearchQA benchmarks, covering both simple and complex tasks with a focus on accuracy and latency.
All queries and data can be automatically purged via Zero Data Retention, giving you complete control over what is stored and for how long.
Yes, You.com is SOC 2 certified, with infrastructure independently audited for data security, privacy, and availability.
Install the youdotcom SDK, initialize with your API key using You("<apiKey>"), then call you.search.unified() with a query string. Each result returns a title, URL, and snippets.
Yes, DuckDuckGo uses the You.com Search API to power breaking news, delivering timely insights at 300ms p99 latency serving 10M+ daily queries at 99.99% uptime.
