Entity News Intelligence for Researchers, Knowledge Teams, and AI Builders
Track entity-based news in real time across global sources in 50+ languages with boolean search, targeted filters for Wikidata entities, countries, and languages, and output shapes that fit the job: headlines, summaries, or full stories. Built for researchers, knowledge graph teams, AI builders, and entity intelligence users, with API, MCP, web apps, Slack, Microsoft Teams, WhatsApp, and direct integrations for entity monitoring, knowledge graph enrichment, profile analysis, and AI-ready research workflows.
Wikidata entity news search for knowledge-graph workflows and AI research
Wikidata gives applications a structured way to represent companies, executives, countries, cities, products, institutions, events, and topics. This service lets teams retrieve news by `wikidata_id`, which is especially powerful when your product already uses entity IDs instead of loose keyword strings.
Why entity-ID monitoring matters
Knowledge graphs, research tools, profile pages, entity-resolution systems, and AI assistants work best when they can tie retrieval to stable identifiers. Wikidata is one of the most important public linked-data systems for that kind of structured workflow.
What Problem Does It Solve?
Keyword monitoring is often noisy when entities share names, appear in multiple languages, or need to be disambiguated. Wikidata IDs give developers and analysts a cleaner way to retrieve entity-linked news and then enrich it with graph-aware applications and AI.
Who Is It For?
Developers building knowledge-graph products, entity pages, profile systems, and research tools.
Analysts and investigators monitoring companies, people, institutions, places, and topics with stable IDs.
Content teams enriching biographies, company pages, issue hubs, and topic dashboards.
AI teams that want entity-aware retrieval for research agents and assistant workflows.
Key Benefits
Retrieve news by `wikidata_id` instead of relying only on ambiguous text search.
Monitor companies, people, locations, institutions, products, and topics in one structured model.
Combine Wikidata retrieval with boolean search, geography, and language filters.
Use headlines, briefs, and full text according to the depth required.
Access the same entity-aware workflow through API, MCP, and the web app.
Use Cases
Knowledge-graph applications that attach recent news to entity records.
Research tools and profile pages that need clean entity monitoring.
AI assistants that resolve entities first and then retrieve relevant news.
Issue tracking and intelligence workflows centered on specific entities and relationships.
How It Works
Resolve the entity to its Wikidata ID and store that ID in your application or workflow.
Retrieve headlines, briefs, or full text for that entity and optionally add boolean filters.
Filter by language or geography, then route results into pages, dashboards, copilots, or AI agents.
AI and MCP Workflows
Use MCP so AI agents can pull news for a known entity ID before writing a briefing, profile summary, or investigation note.
Combine Wikidata retrieval with other ontologies such as exchange MICs, industries, products, and places.
Automate entity-centric research pipelines with less ambiguity and better traceability.
Frequently Asked Questions
What kinds of entities can this service support? Companies, people, places, institutions, products, topics, and many other Wikidata-linked entities.
Why use Wikidata IDs instead of names? Because IDs are much better for disambiguation and structured workflows.
Can AI agents use entity IDs directly? Yes. MCP is very useful for that pattern.
Getting Started
Start by storing the Wikidata IDs that define your target entities, watchlists, or graph nodes. Then choose headlines, briefs, or full text depending on how much detail your users need. API, MCP, and web app access are included. Each headline costs 1 credit, each brief costs 2 credits, and each full text result costs 5 credits. For entity-heavy monitoring products, the annual plan offers stronger value because you pay for only 10 months and receive 12 months of access, which means 2 months free.
Getting Started
Choose a plan
Pick monthly or annual billing. Annual billing gives two months free.
Set searches and filters
Use keywords, boolean operators, source, country, language, and date filters.
Use results in your workflow
Review in the web app or connect results to alerts, dashboards, API, MCP, Slack, Microsoft Teams, or WhatsApp.
Plans, credits, and subscribe links
Annual plans charge for 10 months and include 12 months of access, so you receive two months free. For news services, each headline uses 1 credit, each brief uses 2 credits, and each full story uses 5 credits. Platform services use the same credit-led plan structure for search and retrieval volume.