Wiley Finance API for AI - Books & Papers

Peer-reviewed finance research and full textbook chapters, retrievable a passage at a time. Ask in plain English and get back the sections that answer the question, with citations attached.

How it works

Valyu provides a single Search API that lets you search across Wiley’s finance content using natural language queries. You send a query, and the API returns relevant passages from Wiley finance papers and books. These results can then be fed directly into an AI model as context for generating answers, analysis, or reports.

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

There is one API endpoint to use: the Search API (POST /v1/search). You do not need any other endpoints for searching Wiley content. You can test this in three ways:

No code - Use the Search API Playground in your browser
Python - Use the Python SDK (pip install valyu)
JavaScript - Use the TypeScript SDK (npm install valyu-js)
Any language - Call the REST API directly with cURL or any HTTP client

Available datasets

There are two Wiley finance datasets available through Valyu:

Dataset	Source ID	Size	Content	Updates
Wiley Finance Papers	`wiley/wiley-finance-papers`	33,000+ articles	Peer-reviewed journal articles from The Journal of Finance, Financial Management, Journal of Financial Research, Journal of Portfolio Management, The Financial Review, and more	Quarterly
Wiley Finance Books	`wiley/wiley-finance-books`	4,500+ chapters	Book chapters from titles like Investment Valuation (Damodaran), Options, Futures, and Other Derivatives (Hull), Financial Modeling (Benninga), Valuation (McKinsey & Company)	Quarterly

You can search one or both datasets in a single query. To search both, include both source IDs.

What you get

Each search result contains:

Field	Description
`title`	Title of the paper or book chapter
`content`	Full-text content (complete article or chapter text, not just abstracts)
`url`	URL to the original document (DOI for papers, ISBN for books)
`source`	Which dataset the result came from (`wiley/wiley-finance-papers` or `wiley/wiley-finance-books`)
`authors`	List of author names
`citation`	Generated academic citation
`figures`	Extracted figures with captions
`image_url`	Map of image filenames to URLs for accessing document images
`references`	Reference sections from academic papers
`publication_date`	Publication date of the document
`citation_count`	Number of times the document has been cited

How to test in the playground (no code required)

The fastest way to test Wiley finance content is through the Search API Playground. No code or SDK installation is needed.

Open the Search API Playground

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

https://platform.valyu.ai/playground/search?sources=wiley%2Fwiley-finance-books%2Cwiley%2Fwiley-finance-papers

If you use the direct link above, the Wiley datasets will already be selected and you can skip to Step 4.

Open Advanced Settings

On the left side of the playground, click Advanced Settings to expand the settings panel. This is where you select which datasets to search.

Select the Wiley datasets

Click Included Datasets at the top of the panel. In the dataset selector, find and select:

Wiley Papers (Finance Journals)
Wiley Books (Finance Books)

Make sure only these two datasets are selected if you want to test Wiley content specifically. You can use the search box to search for “Wiley”.

Select Wiley Papers and Wiley Books datasets in the dataset selector

Enter a query and click Run

Type a natural language query in the search box at the top and click Run. For example:

Designing and implementing an activity-based costing (ABC) system in an SME manufacturer

The results appear on the right side. Each result shows:

The title of the paper or book chapter
A relevance score (percentage match)
The source (e.g. wiley/wiley-finance-papers)
A content preview of the matched text
Options to Copy Citation and View Source

Search results from Wiley finance papers showing matched content

You can switch between Results, JSON, and Table views using the tabs above the results.

How to use the API directly

The only API endpoint you need for Wiley finance content is the Search API (POST /v1/search). This is the single endpoint that searches across Wiley papers and books.

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": "derivatives pricing Black-Scholes options valuation",
    "included_sources": ["wiley/wiley-finance-papers", "wiley/wiley-finance-books"],
    "max_num_results": 10
  }'

Key parameters

Parameter	Value	Description
`query`	Any natural language text	Your search query in plain English
`included_sources`	`["wiley/wiley-finance-papers"]` and/or `["wiley/wiley-finance-books"]`	Which Wiley datasets to search. Use one or both.
`max_num_results`	`1` to `20`	Number of results to return

Use included_sources to scope the search to the Wiley datasets. Omit it and the search returns results from every dataset you have access to, not just Wiley.

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 content

from valyu import Valyu

valyu = Valyu()

# Search both Wiley finance papers and books
response = valyu.search(
    "derivatives pricing Black-Scholes options valuation",
    included_sources=[
        "wiley/wiley-finance-papers",
        "wiley/wiley-finance-books"
    ],
    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 content

import { Valyu } from "valyu-js";

const valyu = new Valyu();

// Search both Wiley finance papers and books
const response = await valyu.search(
  "derivatives pricing Black-Scholes options valuation",
  {
    includedSources: [
      "wiley/wiley-finance-papers",
      "wiley/wiley-finance-books"
    ],
    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

Below are example queries that work well with Wiley finance content. You can use these in the playground or through the API.

Finance papers (journal research)

"Designing and implementing an activity-based costing (ABC) system in an SME manufacturer - cost driver selection, pitfalls, and case studies."

"Audit data analytics techniques (e.g., Benford's Law, ratio analysis, regression) applied to revenue recognition fraud - chapters with Excel or R instructions."

"Real options valuation (binomial or Monte Carlo) for natural resource or R&D projects - comprehensive chapter-length walkthroughs with formulas and examples."

Finance books (textbook content)

"Empirical evidence that ESG or climate-risk disclosures lower firms' cost of debt/equity in emerging markets after 2015 (post-Paris Agreement)."

"High-frequency event studies on how unexpected U.S. monetary policy shocks spill over to Asian equity or FX volatility."

"Determinants of bank risk-taking and stability when boards have greater gender or ethnic diversity - cross-country panel analyses."

More example queries (both datasets)

"portfolio optimization mean-variance efficient frontier"

"credit default swap pricing counterparty risk"

"hedge fund alpha generating strategies and performance measurement"

"fixed income bond duration convexity yield curve"

"mergers and acquisitions synergy valuation deal structure"

"financial modeling Excel discounted cash flow valuation"

"CAPM capital asset pricing model empirical tests"

"behavioral finance investor sentiment market anomalies"

Use cases

Quantitative research - Access methodologies for derivatives pricing, portfolio optimization, and risk modeling from peer-reviewed journals
Investment analysis - Search textbook content on valuation frameworks, financial modeling, and fundamental analysis
Academic literature review - Find relevant papers across top finance journals for systematic reviews
Risk management - Access chapters on VaR, credit risk, and portfolio risk budgeting from authoritative textbooks
Financial modeling - Reference Excel-based modeling techniques and quantitative methods from Wiley finance books
AI model training - Build finance-specific AI applications with access to high-quality, structured financial content

API reference

For complete API documentation, see:

Search API Reference - Full parameter documentation for the Search endpoint
Python SDK - Search - Python SDK usage guide
TypeScript SDK - Search - TypeScript SDK usage guide

Relevant links

Finance use case

SEC filings, market data, macro, and compliance sources

Wiley Health & Life Sciences

The licensed biomedical corpus, with the same retrieval model

Academic use case

arXiv, preprints, and open scholarship

Data coverage

Every dataset, refresh cadence, and access tier

Getting Started

Guides & Best Practices

Use Cases

Core Concepts

Compare

Account & Pricing

Other

Wiley Finance

How it works

Available datasets

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

Finance papers (journal research)

Finance books (textbook content)

More example queries (both datasets)

Use cases

API reference

Relevant links

Finance use case

Wiley Health & Life Sciences

Academic use case

Data coverage

​How it works

​Available datasets

​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

​Finance papers (journal research)

​Finance books (textbook content)

​More example queries (both datasets)

​Use cases

​API reference

​Relevant links

Finance use case

Wiley Health & Life Sciences

Academic use case

Data coverage

How it works

Available datasets

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

Finance papers (journal research)

Finance books (textbook content)

More example queries (both datasets)

Use cases

API reference

Relevant links