Factiva

Factiva Retrieval API

Provides retrieval functionality that returns licensed news articles as part of trusted data sources in a retrieval-augmented generation (RAG) stack. Designed for enterprise customers building chatbots, research tools, and other AI applications using copyright-compliant Factiva content.

GitHub

Documentation

📖
Documentation
https://developer.dowjones.com/documents/factiva_integration-factiva_retrieval_api
📖
Authentication
https://developer.dowjones.com/documents/factiva_integration-essentials-authentication

SDKs

📦
GitHubRepository
https://github.com/dowjones/factiva-retrievalapi-demo

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This API 
curl "https://apis.io/api/v1/apis/factiva-retrieval-api"
All apis 
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.

API entry from apis.yml

apis.yml Raw ↑ 
name: Factiva Retrieval API
description: Provides retrieval functionality that returns licensed news articles as part of trusted data
  sources in a retrieval-augmented generation (RAG) stack. Designed for enterprise customers building
  chatbots, research tools, and other AI applications using copyright-compliant Factiva content.
image: https://www.dowjones.com/wp-content/uploads/sites/9/2021/03/factiva-logo.png
humanURL: https://developer.dowjones.com/documents/factiva_integration-factiva_retrieval_api
baseURL: https://api.dowjones.com
tags:
- Artificial Intelligence
- Content
- RAG
- Retrieval
tags_raw:
- AI
- Content
- RAG
- Retrieval
properties:
- type: Documentation
  url: https://developer.dowjones.com/documents/factiva_integration-factiva_retrieval_api
- type: Authentication
  url: https://developer.dowjones.com/documents/factiva_integration-essentials-authentication
- type: GitHubRepository
  url: https://github.com/dowjones/factiva-retrievalapi-demo
contact:
- FN: Dow Jones Developer Support
  email: api.support@dowjones.com
  url: https://developer.dowjones.com/support