Prompt

Can you recommend a news and sentiment API for monitoring corporate events with NLP enrichment and source attribution?

Finance / Financial Data1 observationLast seen Jul 23, 2026

Latest observation

Jul 23, 2026OpenAI APIWeb search: off

Yes — a strong option is GDELT 2.1, especially if you want broad global coverage plus NLP-enriched metadata and source attribution.

Why GDELT fits

  • News/event monitoring at scale: Tracks global news and public web coverage in near real time.
  • NLP enrichment: Provides entities, themes, locations, tone/sentiment-like signals, and event extraction.
  • Source attribution: Returns the original article/source URL and publication metadata so you can trace every item back to its origin.
  • Corporate event use cases: Useful for monitoring acquisitions, layoffs, executive changes, earnings coverage, lawsuits, plant openings/closures, ESG controversies, and competitor activity.

Good alternatives depending on your needs

  1. Event Registry

    • Strong for news clustering, entity extraction, multilingual coverage, and topic/event tracking.
    • Includes source attribution and article metadata.
    • Often easier to work with for business intelligence workflows.
  2. Bing News Search API + your own NLP layer

    • Good general news retrieval and source URLs.
    • You’d need to add your own sentiment/entity/event extraction.
  3. LexisNexis / Dow Jones / Factiva

    • Best if you need premium licensed content, compliance, and deep archival coverage.
    • Usually less flexible for NLP out of the box, but excellent for authoritative source attribution.
  4. AlphaSense

    • Great for enterprise research and company intelligence.
    • Strong search and document analytics, but more of a research platform than a raw API-first solution.

If you want the best “API-first” balance

  • Event Registry for business-friendly news/event monitoring
  • GDELT for open, large-scale global coverage and enrichment

What to look for in the API

Make sure it supports:

  • Original source URL and publisher
  • Article timestamp and crawl/ingest time
  • Entity extraction for companies, people, products
  • Event or topic classification
  • Sentiment / tone scoring
  • Deduplication / clustering of syndicated stories
  • Language support if you monitor global markets

If you want, I can also give you:

  • a side-by-side comparison table
  • a best API for finance/compliance/PR use cases
  • or a sample architecture for corporate event monitoring with alerts and dashboards.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.