Prompt
What's the best public data API if I care about freshness, attribution, and a sane pricing model?
Latest observation
If your priorities are freshness, clear attribution/licensing, and a predictable pricing model, the best overall fit is usually:
GDELT
Why it stands out
- Freshness: near real-time for global news/event data
- Attribution: sources are explicit and traceable back to origin publishers
- Pricing: the core data is free/public, with straightforward access patterns
Good for
- News monitoring
- Event detection
- Global media analysis
- Alerts and trend tracking
Tradeoffs
- Data can be noisy and requires some cleanup
- The schema is broad and somewhat specialized
- It’s not a general-purpose “everything” API
Other strong candidates depending on your use case
Wikipedia/Wikidata APIs
- Freshness: good, especially for Wikidata edits
- Attribution: very clear CC licensing and provenance
- Pricing: free
- Best for: entities, knowledge graphs, enrichment
US government/open civic data APIs
Examples: Census API, data.gov, BLS, FRED
- Freshness: often strong for official stats
- Attribution: usually very clear
- Pricing: free
- Best for: economic, demographic, policy data
OpenAlex
- Freshness: strong for scholarly metadata
- Attribution: excellent provenance
- Pricing: free
- Best for: research, citations, academic graph data
If you want one “best” answer
- For news/event data: GDELT
- For general structured public facts: Wikidata / OpenAlex / official government APIs, depending on domain
If you want, I can also give you a ranked shortlist by category like news, finance, demographics, geodata, and research.
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?
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