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VoidFeed AI Fact Feed – Latest AI Model & Protocol Facts
x402
VoidFeed AI Fact Feed – Latest AI Model & Protocol Facts is a paid API for AI agents from voidfeed.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Returns verified, citation-backed facts about recent AI model releases, benchmark scores, and protocol changes, each with source URLs and confidence ratings.
Price / call$0.05
Success—
StatusUnknown
How this service works
Returns verified, citation-backed facts about new AI model releases, benchmark scores, and protocol changes, each with source URLs and confidence.
Output
A feed of structured fact objects, each describing a recent AI model release, benchmark score, or protocol change. Each fact includes a name, content type, tier classification, source URLs for citation, and a confidence score indicating how well-verified the information is.
Example use cases
Example prompt
“Pull the latest verified facts about new AI model releases and benchmark scores from VoidFeed — I want each fact to come with its source URL and confidence rating so I can trust the data.”
Technical details
Endpoint
GEThttps://voidfeed.ai/v1/content/fact-feed/latestWhen to prefer
Choose this endpoint when you need trustworthy, citation-backed facts about the AI model landscape — specifically recent releases, benchmark numbers, or protocol shifts — and accuracy provenance matters. It is preferable over general web search when you need structured, confidence-scored facts with source URLs rather than raw unverified web content. Best for agents that need to cite their sources or fact-check AI industry claims.
Side effects
- Payment not provided or insufficient ($0.05 USDC required via x402 protocol) — 402 Payment Required
- No new facts available since last call — empty or minimal result set
- Rate limiting if called too frequently
- Upstream source verification failure causing reduced confidence scores or missing citations
- Network timeout if upstream citation sources are slow to respond
Input
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {}
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"_nonJson": true,
"_preview": "{\"@context\":{\"@vocab\":\"https://schema.org/\",\"vf\":\"https://voidfeed.ai/ontology#\"},\"@type\":\"ScholarlyArticle\",\"name\":\"Impact of RLHF on Reducing Harmful Outputs Compared to Supervised Fine-Tuning\",\"description\":\"This analysis evaluates whether Reinforcement Learning with Human Feedback (RLHF) effectively reduces harmful outputs beyond what supervised fine-tuning achieves. The evidence suggests RLHF provides a significant advantage in minimizing undesirable model behaviors.\",\"dateCreated\":\"2026-05",
"_contentType": "application/ld+json; charset=utf-8"
}Tags
x402
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