Wiley Health & Life Sciences API for AI

Agents can read inside a paper here, not just its abstract. Ask a question in plain English and get back the passages that answer it, with citations attached.

This is a gated dataset. It is licensed content, so access is granted per organisation and is not enabled by default. See Getting access.

How it works

Your query --> Valyu Search API --> Wiley HLS results --> Feed into AI model

One endpoint does it: the Search API (POST /v1/search).

The dataset

Dataset	Source ID	Size	Coverage	Updates
Wiley Health & Life Sciences	`wiley/wiley-hls`	250,000+ papers	2010 to present	Quarterly

Peer-reviewed journals spanning medicine, nursing, life sciences, biomedical research, pharmacology, and allied health, across roughly 940 journal titles. Both proprietary subscription content and open-access content are included, indexed as full text with figures, references, and citations.

What the corpus covers

Indicative of the major areas, with representative titles:

Area	Example journals
Nursing and perioperative practice	AORN Journal, Journal of Advanced Nursing, Journal of Clinical Nursing, Nursing in Critical Care
Gastroenterology and endoscopy	Digestive Endoscopy, DEN Open, Journal of Gastroenterology and Hepatology, Advances in Digestive Medicine
Wound care and dermatology	International Wound Journal, Wound Repair and Regeneration, British Journal of Dermatology, Skin Research and Technology
Cancer and haematology	Cancer, American Journal of Hematology, Cancer Medicine
Neurology and psychiatry	Alzheimer’s & Dementia, Epilepsia, Headache: The Journal of Head and Face Pain, Journal of Neurochemistry
Cardiovascular and respiratory	Clinical Cardiology, ESC Heart Failure, Catheterization and Cardiovascular Interventions, Respirology, Pediatric Pulmonology
Pharmacology and drug safety	British Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Pharmacoepidemiology and Drug Safety
Devices, biomaterials and bioengineering	Bioengineering & Translational Medicine, International Journal of Biomaterials, Artificial Organs, Journal of Orthopaedic Research
Genetics, molecular and cell biology	Journal of Cellular Physiology, Molecular Microbiology, PROTEOMICS, FEBS Letters
Public health and evidence synthesis	Journal of Evidence-Based Medicine, Worldviews on Evidence-Based Nursing, Cochrane Evidence Synthesis and Methods

This is a subset for orientation, not the full list. For the complete title list, or to check whether a specific journal is covered, email contact@valyu.ai.

Choosing coverage: HLS only or blended

Wiley HLS supports a coverage mode that decides whether a query stays inside the licensed corpus or also draws on the open-access biomedical index in the same call. The parameter is hls_coverage.

Mode	Value	What it does
HLS only (default)	`"hls"`	Results come only from `wiley/wiley-hls`. Use when you specifically want licensed content.
OA + HLS	`"increased_coverage"`	Blends the licensed corpus with open-access biomedical literature in one ranked result set. Use for maximum recall on a topic.

Same query, both modes, side by side:

Search results with HLS only coverage, all ten results from Wiley Health and Life Sciences — HLS only - every result comes from the licensed Wiley corpus

Search results with blended coverage, showing a mix of PubMed and Wiley Health and Life Sciences results — OA + HLS - the same query blends open-access results alongside licensed ones

Note the source breakdown at the top of each response. In HLS-only mode all ten results are Wiley. In blended mode the same query returns a mix, and the response labels which dataset each result came from.

Blended mode is usually the better default for broad literature scans, because a narrow topic can exhaust the licensed corpus before it fills your requested result count. Use HLS-only when you need to know that everything you got back is licensed content.

What you get

Each result contains:

Field	Description
`title`	Title of the paper
`content`	Full-text passages, not just the abstract - the sections most relevant to your query
`url`	DOI-resolvable link to the original article
`source`	Which dataset the result came from
`authors`	List of author names
`abstract`	Article abstract
`citation`	Preformatted academic citation
`references`	Parsed reference list
`image_url`	Figures and images from the matched sections
`publication_date`	Publication date
`doi`	Digital Object Identifier
`relevance_score`	Match score for the query

Structure is preserved in the returned markdown: section headings, tables, and inline reference markers all survive extraction, so a downstream model can cite a specific claim back to its source.

How to test in the playground (no code required)

Open the Search API Playground

Go to platform.valyu.ai/playground/search.You can open it with Wiley HLS pre-selected using this direct link:

https://platform.valyu.ai/playground/search?sources=wiley%2Fwiley-hls

Pick a coverage mode

Under Quick Settings, use the HLS Coverage control to choose between HLS only and OA + HLS. This maps directly to the hls_coverage parameter described above.

Enter a query and click Run

Type a natural language query and click Run. For example:

reusable endoscope reprocessing and sterilization failures

Results appear on the right. Each one shows the title, a relevance score, the source dataset, and a content preview, with options to Copy Citation and View Source. Switch between Results, JSON, and Table views using the tabs above.

Copy the generated code

Click Show Code Snippets at the bottom to get a ready-to-run request for your chosen settings.

How to use the API directly

Using cURL

curl -X POST 'https://api.valyu.ai/v1/search' \
  -H 'Content-Type: application/json' \
  -H 'x-api-key: YOUR_API_KEY' \
  -d '{
    "query": "reusable endoscope reprocessing and sterilization failures",
    "included_sources": ["wiley/wiley-hls"],
    "hls_coverage": "increased_coverage",
    "max_num_results": 10
  }'

Key parameters

Parameter	Value	Description
`query`	Any natural language text	Your search query in plain English
`included_sources`	`["wiley/wiley-hls"]`	Scopes the search to the Wiley HLS corpus
`hls_coverage`	`"hls"` or `"increased_coverage"`	Licensed only, or blended with open access. Defaults to `"hls"`.
`max_num_results`	`1` to `20`	Number of results to return

hls_coverage is currently REST-only. The Python and TypeScript SDKs do not yet accept it, so call the endpoint directly if you need blended coverage. Everything else on this page works through the SDKs as normal.

How to use the Python SDK

Install the SDK

pip install valyu

Set your API key

export VALYU_API_KEY="your-api-key"

Search Wiley HLS

from valyu import Valyu

valyu = Valyu()

response = valyu.search(
    "reusable endoscope reprocessing and sterilization failures",
    included_sources=["wiley/wiley-hls"],
    max_num_results=10
)

for result in response.results:
    print(f"Title: {result.title}")
    print(f"Source: {result.source}")
    print(f"URL: {result.url}")
    print(f"Content: {result.content[:500]}...")
    print("---")

For full Python SDK documentation, see the Python SDK Search guide.

How to use the JavaScript SDK

Install the SDK

npm install valyu-js

Set your API key

export VALYU_API_KEY="your-api-key"

Search Wiley HLS

import { Valyu } from "valyu-js";

const valyu = new Valyu();

const response = await valyu.search(
  "reusable endoscope reprocessing and sterilization failures",
  {
    includedSources: ["wiley/wiley-hls"],
    maxNumResults: 10
  }
);

response.results.forEach((result) => {
  console.log(`Title: ${result.title}`);
  console.log(`Source: ${result.source}`);
  console.log(`URL: ${result.url}`);
  console.log(`Content: ${result.content.slice(0, 500)}...`);
  console.log("---");
});

For full JavaScript SDK documentation, see the TypeScript SDK Search guide.

Example queries

These work well against the HLS corpus. Use them in the playground or through the API.

Clinical evidence and systematic reviews

"Recent systematic reviews and meta-analyses on surgical site infection prevention - triclosan-coated sutures, wound protectors, and perioperative care bundles, with effect sizes."

"Negative pressure wound therapy on closed surgical incisions - randomised trials reporting infection, dehiscence, and length of stay."

Device performance and safety

"Reprocessing failures and contamination in reusable flexible endoscopes - surveillance culture studies, failure modes, and outbreak reports."

"Single-use versus reusable endoscopes - comparative infection rates, cost-effectiveness thresholds, and environmental impact."

Methodology and surveillance

"Signal detection methods for medical device post-market surveillance of spontaneous adverse event reports."

Getting access

Wiley HLS is a licensed corpus, so access is granted per organisation rather than being on by default.

Request access

Request access from the datasets page in the platform. Startups can apply through the startup programme.

Talk to us

Email contact@valyu.ai for the full journal list, volume pricing, or enterprise terms.

API reference

Search API Reference - full parameter documentation
Python SDK - Search
TypeScript SDK - Search

Relevant links

Healthcare use case

PubMed, clinical trials, ChEMBL, and FDA data

Wiley Finance

The licensed finance corpus, same retrieval model

Data coverage

Every dataset, refresh cadence, and access tier

DeepResearch

Run multi-step research over this corpus

Getting Started

Guides & Best Practices

Use Cases

Core Concepts

Compare

Account & Pricing

Other

Wiley Health & Life Sciences

How it works

The dataset

What the corpus covers

Choosing coverage: HLS only or blended

What you get

How to test in the playground (no code required)

How to use the API directly

Using cURL

Key parameters

How to use the Python SDK

How to use the JavaScript SDK

Example queries

Clinical evidence and systematic reviews

Device performance and safety

Methodology and surveillance

Getting access

Request access

Talk to us

API reference

Relevant links

Healthcare use case

Wiley Finance

Data coverage

DeepResearch

​How it works

​The dataset

​What the corpus covers

​Choosing coverage: HLS only or blended

​What you get

​How to test in the playground (no code required)

​How to use the API directly

​Using cURL

​Key parameters

​How to use the Python SDK

​How to use the JavaScript SDK

​Example queries

​Clinical evidence and systematic reviews

​Device performance and safety

​Methodology and surveillance

​Getting access

Request access

Talk to us

​API reference

​Relevant links

Healthcare use case

Wiley Finance

Data coverage

DeepResearch

How it works

The dataset

What the corpus covers

Choosing coverage: HLS only or blended

What you get

How to test in the playground (no code required)

How to use the API directly

Using cURL

Key parameters

How to use the Python SDK

How to use the JavaScript SDK

Example queries

Clinical evidence and systematic reviews

Device performance and safety

Methodology and surveillance

Getting access

API reference

Relevant links