AGENTS THAT ANSWER — AND RESEARCH
From instant, cited answers to deep, multi-step investigations with real deliverables.
Not every question needs the same depth
Sometimes your agent needs a fast, grounded answer. Sometimes it needs to investigate, synthesize, and produce a report you can actually use. Valyu Agents handle both — using the same search infrastructure, the same source control, and the same commitment to traceability.
Try ValyuAnalyze the legal framework governing commercial space activities. Examine the Outer Space Treaty and subsequent agreements, catalog national space laws (US Commercial Space Launch Act, Luxembourg space mining law, UAE space law), document liability frameworks for space debris and collisions, analyze property rights for space resources (asteroid mining, lunar resources), evaluate licensing requirements for launches
Used 6 steps to complete the task
Deliverables (1)
a fun visual report ...
PPTX
Output
The Legal Framework Governing Commercial Space Activities: A Comprehensive Analysis of Treaties, National Laws, and Emerging Challenges
Executive Summary
The international legal framework for commercial space activities operates through a dual structure of aging treaties and divergent national laws, creating fundamental tensions between innovation and liability, property rights and non-
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3741406
280.7
How Deep Research Works
1. Define the Task
Natural language input. Choose depth, sources, and outputs.
2. Investigation
Planning, searching, extraction, and synthesis — fully automated.
3. Receive Deliverables
Download files or consume structured outputs with citations.
How Deep Research Works
1. Define the Task
Natural language input. Choose depth, sources, and outputs.
2. Investigation
Planning, searching, extraction, and synthesis — fully automated.
3. Receive Deliverables
Download files or consume structured outputs with citations.
Research that produces work-ready outputs
Knowledge work doesn’t stop at answers. It ends with reports, analyses, and documentation. Deep Research plans and executes multi-step investigations, synthesizes findings across sources, and generates deliverables you can use immediately — from PDFs to spreadsheets to structured data.
Source Control
Fine-grained control across web, academic, financial, and medical sources.
File Inputs
Upload PDFs, images, and documents to extend the research context.
Custom Schemas
Define exactly how results should be structured.
Full Traceability
Every insight links back to its source.
How have recent Federal Reserve interest rate changes impacted housing markets across different US regions?
Fast
Standard
Heavy
Email me when complete
Generate PDF
Used 7 steps to complete the task
Deliverables (1)
PPTX
Output
Federal Reserve Interest Rate Changes and Their Impact on Regional US Housing Markets (2024-2026)
Executive Summary
The Federal Reserve’s aggressive interest rate adjustments from 2022-2025 have produced sharply divergent impacts across US regional housing markets, creating a “tale of two markets” driven primarily by supply constraints rather than uniform monetary policy transmission. The Fed raised rates 4.25 percentage points from early 2022 through mid-2023 (reaching 5.33%), then cut rates 225 basis points through December 2025, yet mortgage rates declined only 80-90 basis points.
Regional outcomes diverged dramatically by December 2025:
• Northeast and Midwest (supply-constrained): Median prices $331K—540K with continued price
Generated Images (5)
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When to Use Deep Research
npm install valyu-jsimport { Valyu } from 'valyu-js';
const valyu = new Valyu("*********************************");
// Create deep research task
const response = await valyu.deepresearch.create({
input: "Analyze the competitive landscape of AI search APIs",
mode: "standard",
outputFormats: ["markdown", "pdf"]
});
if (!response.success) {
console.error("Error:", response.error);
} else {
console.log("Task created:", response.deepresearch_id);
// Wait for completion with progress updates
const result = await valyu.deepresearch.wait(
response.deepresearch_id!,
{
onProgress: (status) => {
if (status.progress) {
console.log(`Progress: ${status.progress.current_step}/${status.progress.total_steps}`);
}
}
}
);
console.log(result.output);
}
How Answer works
1. Ask
Send a natural language question. Add source filters if needed.
2. Retrieve + Reason
Valyu searches authoritative sources and synthesizes the findings.
3. Answer
Get clear responses with citations and underlying search results.
How Answer works
1. Ask
Send a natural language question. Add source filters if needed.
2. Retrieve + Reason
Valyu searches authoritative sources and synthesizes the findings.
3. Answer
Get clear responses with citations and underlying search results.
Search + reasoning in a single call
When you don’t need raw search results, you don’t have to manage them. Answer mode runs Valyu search, evaluates the sources, and returns a grounded response with inline citations — fast enough for real-time agent workflows.
Source Control
Restrict answers to specific datasets or domains.
Structured Responses
Define a JSON schema. Get answers in exactly the format your app needs.
Inline Citations
Every claim traces back to a source.
Fast by Default
Most answers return in under 30 seconds.
Meta-analyses of immunotherapy efficacy in lung cancer
Clinical Trials
DailyMed
ChEMBL
PubChem
DrugBank
Open Targets
Recent meta‑analyses consistently show that immune‑checkpoint inhibition improves survival across the lung‑cancer spectrum. In the adjuvant setting for early‑stage non‑small‑cell lung cancer (NSCLC), a network meta‑analysis of 19 randomized trials reported that immune‑checkpoint inhibitor (ICI) therapy lengthened disease‑free survival (DFS) to a median of 53.47 months versus 39.49 months with chemotherapy or placebo (Nature).
In advanced disease, pooled data from randomized trials demonstrate a robust overall‑survival (OS) advantage for immunotherapy over chemotherapy. Real‑world French data showed median OS of 16.4 months with first‑line ICIs versus 11.6 months with chemotherapy (Nature). Trial‑level meta‑analyses of PD‑1/PD‑L1 plus CTLA‑4 combinations reported a 69 % reduction in the risk of progression (HR 0.69, 95 % CI 0.56–0.85) (Medrxiv). Dual‑immunotherapy plus chemotherapy further increased median OS to ≈15.8 months (Cureus).
Biomarker‑focused meta‑analyses indicate that high tumor‑mutational burden (TMB) predicts greater immunotherapy benefit (Nih). Together, these systematic reviews confirm that immunotherapy provides significant survival benefits.
When to Use Answer Mode
SoTA across several benchmarks
FreshQA is updated roughly every week, contains 600 time-sensitive questions that assess how effectively APIs handle recent and evolving information. The benchmark is critical for use cases such as news summarization, event tracking, and trend monitoring. Our evaluation used the Aug 27th test set, the most recent release available at the time of testing.
Integrate in seconds
from valyu import Valyu
valyu = Valyu(api_key="*********************************")
response = valyu.answer(
"your question here"
)
# Access the answer
print("Answer:", response.contents)
print("Sources used:")
for source in response.search_results:
print(f"- {source.title}: {source.url}")