Contextual reader Q&A
Carry article title, visible text, selected text, teams, players, and page metadata into every question and follow-up.
EdgeFinder for Sports Media
Turn every sports page into a research surface
Give readers contextual analysis beside the article, game, player, or statistical claim they are already viewing. EdgeFinder extracts or receives the relevant page context, calls league-specific research tools, and returns an answer that stays grounded in the source topic.
- Article-aware questions
- Native sports charts
- Publisher-controlled experience
Ground the assistant in the page, then go deeper
The article or page establishes the subject. EdgeFinder uses that context to resolve entities and select the sports data needed for the reader's question.
Data-grounded analysis
Call existing NFL, NBA, and MLB research tools for schedules, standings, injuries, player trends, roster moves, and statistical claims.
Native visual explanations
Render EdgeFinder chart fences for supported game, shot, pass, rush, target, and drive visualizations inside the publisher surface.
Editorially scoped output
Keep fantasy, betting, injury, contract, schedule, or chart angles conditional on the article and reader request instead of forcing fixed modules.
Workflows
Designed for article and right-rail experiences
First-card insight
Generate an initial research card that adds statistical context to the article rather than merely summarizing it.
Reader follow-up
Resolve pronouns and article-specific entities across multiple turns while continuing to pass the source context.
Interactive visual
Return a chart when the reader asks for a shot map, pass chart, trend, comparison, or other supported visual.
Example
Attach the article to the question
Publishers can send structured page metadata and the relevant text instead of relying on browser screenshots.
EdgeFinder context
{
"message": "How does this change the team's rotation?",
"league": "nba",
"context": {
"page": {
"url": "https://publisher.example/article",
"title": "Team announces a major roster move"
},
"visibleTextSummary": "Article summary and named entities...",
"selectedText": "The paragraph the reader highlighted..."
}
}Frequently asked questions
What teams need to know
Does EdgeFinder only summarize articles?
No. The article establishes context, but the response should use league data tools to add relevant evidence, comparisons, schedules, standings, injuries, or player analysis.
Can the publisher control the UI?
Yes. The API returns analysis for the partner-owned interface. Publishers control placement, branding, access, prompts, and rendering.
Can EdgeFinder return charts?
Yes. Supported responses can include native chart fence formats for general charts, NBA shot charts, and NFL pass, rush, target, and drive charts.
Put EdgeFinder in the workflow
Use EdgeFinder directly, or integrate the sports intelligence platform through the API, SDK, and supported agent interfaces.