Overview
Wikidata NewsFlow API & MCP Server - Entity-Linked News Retrieval by Press Monitor
Wikidata NewsFlow lets development teams, analysts, and AI agents retrieve news directly by Wikidata ID - replacing noisy keyword searches with precise, entity-resolved retrieval across 20+ languages.
The Problem with Keyword-Based News Monitoring
Keyword monitoring breaks down when entities share names, appear in multiple languages, or require disambiguation. A search for "Mercury" returns results about planets, car brands, and chemical elements. Wikidata IDs eliminate this noise by anchoring retrieval to a stable, globally unique identifier for each entity.
How Wikidata NewsFlow Solves It
This service lets you retrieve headlines, briefs, or full-text articles for any Wikidata-linked entity - companies, executives, countries, cities, products, institutions, events, and topics. Because retrieval is tied to a stable identifier rather than a text string, your results are precise from the first query.
Concrete Use Case: Compliance and PEP Monitoring
A compliance team monitoring politically exposed persons (PEPs) stores Wikidata IDs for each individual on their watchlist. Each day, the system retrieves briefs for those entities, filters by relevant languages and geographies, and feeds results into a case-management platform. New sanctions-related coverage is flagged automatically - with zero false matches from individuals who happen to share the same name.
Who Is It For?
- Developers building knowledge-graph products, entity pages, profile systems, and research tools
- Compliance and risk analysts monitoring companies, PEPs, and institutions with stable IDs
- Content teams enriching biographies, company pages, issue hubs, and topic dashboards
- AI engineering teams that need entity-aware retrieval for research agents and assistant workflows
Key Capabilities
- Retrieve news by wikidata_id instead of relying 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
- Access headlines, briefs, and full text according to the depth your workflow requires
- Built-in translation across 20+ languages for global monitoring
- Access the same entity-aware workflow through REST API, MCP Server, and web app
AI Agent and MCP Integration
The included MCP Server allows AI agents to pull entity-linked news directly within their reasoning loop. An agent can resolve an entity to its Wikidata ID, retrieve recent coverage, and produce a briefing, profile summary, or investigation note - all without custom glue code. Combine Wikidata retrieval with other ontologies such as exchange MICs, industries, and geographies for multi-dimensional research pipelines.
Getting Started
- Subscribe through AWS Marketplace and obtain your API credentials.
- Store the Wikidata IDs that define your target entities, watchlists, or graph nodes.
- Choose your content depth: headlines (1 credit), briefs (2 credits), or full text (5 credits).
- Call the API or configure the MCP Server for your AI agent framework.
- Apply optional boolean, language, and geography filters to refine results.
API, MCP, and web app access are all included with your subscription. The annual plan offers 12 months of access for the cost of 10 months.
Security and Data Handling
All API traffic is encrypted in transit. Authentication is handled via API keys issued per account. Please contact Press Monitor for detailed information about data residency, retention policies, and compliance certifications.
Evaluation and Next Steps
To explore integration options, request a sandbox API key, or schedule a walkthrough of the MCP Server workflow, contact the Press Monitor team through the support channel. Technical documentation covering API schema, authentication, rate limits, and example responses is available upon request.
Frequently Asked Questions
- What kinds of entities are supported? Companies, people, places, institutions, products, topics, and any other entity with a Wikidata ID.
- Why use Wikidata IDs instead of names? IDs eliminate disambiguation errors and enable structured, graph-aware workflows.
- Can AI agents use entity IDs directly? Yes. The MCP Server is designed specifically for that pattern.
- What languages are supported? 20+ languages with built-in translation for cross-lingual monitoring.
Highlights
- Entity-centric news search: Retrieve news directly linked to Wikidata IDs for people, companies, and places - no more ambiguous keyword matches.
- Multilingual & translated coverage: Supports 20+ languages with built-in translation, making global monitoring accessible.
- AI-ready integration: Includes an MCP Server for direct use by AI agents, chatbots, and autonomous research systems.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Micro Tier | Designed for individual users, small teams, and early experiments. Ideal for testing, prototyping, and light monitoring needs. Limited daily searches and alerts. Access to core endpoints (headlines, briefs). Suitable for freelancers, researchers, and small projects. | $25.00 | |
Starter Tier | Built for growing startups and small organizations that need consistent, structured news intelligence. Expanded daily query and alert limits. Full-text articles with metadata and translations. Scheduled digests and basic MCP integration. Perfect for startups building media-driven apps or compliance workflows. | $100.00 | |
Business Tier | Optimized for SMBs, agencies, and mid-sized enterprises that require continuous, cross-market monitoring. High-volume queries and alerts across multiple regions\/languages. Full API and MCP server integration with AI\/LLM workflows. Access to enriched data: entities, Wikidata IDs, sentiment. Priority email support and advanced scheduling. Best for marketing, compliance, and research teams managing multiple clients\/projects. | $250.00 | |
Enterprise Tier | Optimized for SMBs, agencies, and mid-sized enterprises that require continuous, cross-market monitoring. High-volume queries and alerts across multiple regions\/languages. Full API and MCP server integration with AI\/LLM workflows. Access to enriched data: entities, Wikidata IDs, sentiment. Priority email support and advanced scheduling. Best for marketing, compliance, and research teams managing multiple clients\/projects. | $750.00 |
Vendor refund policy
All subscriptions and usage charges for the Wikidata NewsFlow API & MCP Server are billed in advance for the selected period (monthly or annually). Once a billing cycle has started, no refunds will be issued for that period, regardless of usage. Customers may cancel their subscription at any time, and the cancellation will take effect at the end of the current billing period.
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