A change-detection API without the page-checker noise
Page-change checkers alert on every pixel and email a human. Hypeline is built for systems: it extracts the real content, keeps only genuine changes, deduplicates them, and delivers them as events over SSE, cursor catch-up and signed webhooks.
Where the two differ
| Page-change checkers | Hypeline | |
|---|---|---|
| What it flags | Any visual or DOM change on the page | Genuinely new content, after extracting the main text |
| Noise | Alerts on ads, banners and timestamps | Template and timestamp churn filtered out |
| How you get alerts | Email or a dashboard you check | An API: SSE, cursor catch-up and signed webhooks |
| Duplicates | Repeats the same change on each check | Deduplicated, one event per real change |
| Scale | One page at a time, set up by hand | Thousands of sources with adaptive scheduling |
| Beyond HTML | Web pages only | Feeds and live push sources too, in one stream |
Frequently asked questions
What is a change-detection API?
It is an interface that watches sources for you and emits an event whenever genuinely new content appears, so your own code can react in real time instead of a person eyeballing a page-monitoring dashboard.
How is this different from a page-change checker?
Tools like page monitors alert on any change, including ads, banners and timestamps, and usually notify a human by email. Hypeline extracts the real content first, keeps only genuine changes, removes duplicates, and delivers them as events over SSE, cursor or webhooks so systems can act on them.
How does it avoid false alarms?
It extracts the main content from each page and compares fingerprints over time, so cosmetic edits, template changes and timestamp churn do not produce events. You get real changes, not raw diffs.
Can it watch many pages at once?
Yes. It is built to watch large numbers of sources, with per-source adaptive scheduling that checks active sources often and backs off on quiet ones, while respecting robots.txt and rate limits.
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