No product description has been published for this domain yet. Everything below is measured directly.
Data & Analyticsstocknews.aiTracked since 2026-08-192 discovery sources
2.5KBacklinks
303Referring domains
24Domain authority
+17.4%Referring domains · 90 days
Authority & distribution
How strong is Stocknews AI’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
2.5KCurrent snapshot
Referring domains
303Current snapshot
Authority
24Domain authority · category median 22
90-day move
+17.4%Referring domains, last 90 days
At 24, Stocknews AI sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Stocknews AI”
No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.
Data & AnalyticsSeen 2026-08-19 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://stocknews.ai/
Observed across 2 discovery sources.
Research questions
What the evidence answers about Stocknews AI.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What problem does Stocknews AI solve for investors and analysts?
Stocknews AI simplifies finding market-moving financial news and provides structured signal data for better decision-making. It delivers AI-analyzed news signals with source links, sentiment, and price context through a REST API, MCP, and a News Agent.
Who is the target audience for this product?
The product is designed for investors and AI agents who need structured financial news signals for analysis and decision-making. The homepage explicitly mentions it provides signals for both investors and AI agents.
What features and access methods does Stocknews AI offer?
Stocknews AI offers AI-analyzed financial news signals with importance, confidence, sentiment, and source data. Users can access these signals through a REST API, an MCP (Model Context Protocol), and a dedicated News Agent for exploring and analyzing news.
In what situations is this product used?
It is used for finding market-moving stock news and conducting financial research. The signals help users understand news impact, such as identifying bullish contract signals and analyzing their effect on revenue visibility and investor interest.
What is Stocknews AI?
Stocknews AI is a product that provides AI-analyzed financial news signals and a related API. It is categorized as a Data & Analytics tool focused on delivering structured data for querying, transformation, and analysis.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Stocknews AI intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured