The AI API Stack Has a Research Problem

Product Marketing Lead

LI Test
LI Test

Why General-Purpose Search Fails in Production‍

Most AI applications are built the same way: a general-purpose LLM, a search tool bolted on for freshness, a scraping layer, a custom parser, and a homegrown orchestration layer to hold it together. Each component adds latency, failure modes, and maintenance burden. The result works in demos and degrades in production.

The real problem is the assumption underneath it—that research is just retrieval.

It isn't. And the gap between those two things is where production AI applications break down.

Three APIs. One Research Stack.

Web Search API

‍Real-time web search, built for LLMs. A single call returns structured snippets, rich metadata, and full-page content — no scraping layer required. At 93% accuracy on SimpleQA and sub-500ms median latency, it fits inside an agentic loop without the user ever noticing the round trip. Priced at $5/CPM, it doesn't become your dominant cost center as query volume scales.

Research API

‍Agentic research, called as a single endpoint. Engineering teams spend 6–12 months building a research harness. This replaces it. Send a query; the API plans the investigation, runs searches, cross-references sources, compacts context, and returns a cited answer — up to 1,000 reasoning turns and 10M tokens per query. Source controls, typed JSON output, and tiered effort levels make it production-ready on day one.

Finance Research API

‍Institutional-grade research for financial workflows. Built on the Research API and extended with licensed data from S&P Global, SEC EDGAR, FRED, BLS, and NASDAQ. Finance-specific evidence arbitration reconciles mismatched fiscal years, reporting currencies, and conflicting filings before returning an answer. 87.29% accuracy on FinSearchComp T2 — the highest recorded, more than 14 points ahead of the next best system, and roughly 7x faster.

Trusted by Teams Who Can't Afford to Be Wrong

Alibaba. Databricks. DuckDuckGo. Factory. Harvey.

99.99% uptime. 10M+ queries processed daily. 99.9% SLA for enterprise partners.

Which API is Right for You?

	Web Search API	Research API	Finance Research API
Best for	Agents & copilots needing live web context	Teams replacing a custom research harness	Financial applications needing institutional data
Accuracy	93% SimpleQA	83.67% DeepSearchQA	87.29% FinSearchComp T2
Latency	<500ms median	Tiered by research depth	124s median (P50)
Output	Structured snippets + full-page content	Cited, typed JSON	JSON + Markdown with source trails
Key controls	Up to 100 results per call	`source_control` `output_schema` `research_effort`	Evidence arbitration + licensed institutional data