Prompt
Can you recommend a news and sentiment API for monitoring corporate events with NLP enrichment and source attribution?
Latest observation
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
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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.
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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.
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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.
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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
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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, and Meta AI.