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GET /v1/sites/{siteId}/vitals/history

Get a site's speed history and change timeline.

Svi hosting krajnji točke

Autentifikacija

Pošaljite API ključ kao bearer token. Ova krajnja točka ne navodi određenu dozvolu u specifikaciji, stoga dajte svom ključu najmanje što mu je potrebno i provjerite odgovor umjesto da pretpostavljate.

Ova krajnja točka ne prihvaća ID organizacije. Vaš ključ već identificira organizaciju kojoj pripada, a odgovor je ograničen na nju.

Isprobajte

Zamijenite sve unutar šiljastih zagrada svojim vlastitim vrijednostima, a rezervirano mjesto za ključ s ključem iz vaše nadzorne ploče.

curl -X GET https://api.zinndigital.com/v1/sites/{siteId}/vitals/history \
  -H "Authorization: Bearer zdk_live_…"

Prijavljeni ste? API konzola na vašoj nadzornoj ploči automatski unosi stvarni ID vaše organizacije i vaš vlastiti ključ te šalje zahtjev prema aktivnom API-ju kako biste mogli vidjeti stvarni odgovor. Otvori ovu krajnju točku u API konzoli

Pojedinosti

How the site's speed has moved over time, **and what changed on the site**, on one axis — so a customer can see that activating a plugin cost them 0.4 s rather than having to remember it. **This is the consumer that was missing.** Vitals rows have been kept since #626 with a comment saying they exist "so the Performance tab can show a trend"; nothing ever read them, there was no time-series endpoint, and there was no charting library in the repo. The trend was being stored correctly, for weeks, for nobody. **Two producers, one axis.** `points` are Lighthouse measurements taken off the request path by a scheduled sweep. `events` are what the site reported about itself over a signed webhook (plugin activated, core updated, theme switched, PHP version changed), merged with its successful deploys. Events carry the time they happened **on the site**, so a webhook delivered late still lands beside the score it explains. **`score_delta` is computed here.** Two clients subtracting two nullable columns is two chances to render `-87` for "we did not measure the earlier one". ⚠️ **Cadence.** The sweep measures a fixed number of sites per hour, so on a large estate a site's points can be days apart. A site that reports a change is moved to the front of the next sweep, which is why the timeline — not the sweep — is the primary signal for attributing a regression (docs/85 §4.2). RLS-scoped to a site the caller can view (`sites.view`); an out-of-scope or unknown id is a `404` alike, exactly like `getSite`.

Parametri

NazivVrstaObaveznoŠto je to
siteId (path)UuidDaSite ID (UUIDv7).
days (query)integerNeHow far back to look. Clamped rather than rejected — this is a cheap read of the caller's own data, so a `422` on `days=0` would be a worse experience than a sensible window, an…

Odgovor

NazivVrstaObaveznoŠto je to
pointsSiteVitalsHistoryPoint[]DaOldest → newest, so a chart renders it without reversing. Capped; when a site has more measurements than the cap, the **most recent** are returned — a chart that stopped before…
eventsSiteEvent[]DaOldest → newest, on the same axis as `points`.
stack_typestringDaThe site's configured stack — `static`, `php`, `wordpress`, `woocommerce`, `node`, `one_click`. Decides which advice and which events apply: a static site must never be given Wo…
stack_packsstring[]DaWhat the newest lab run detected. Resolves `one_click`, which is a container for "whatever the customer installed" and therefore knows nothing about itself.
opportunitiesSiteVitalsOpportunity[]DaThe newest lab run's opportunities. On a customer surface these are the same rows `getSiteVitals` returns; on the staff surface they additionally include `owner: platform` audit…
recommendationSpeedUpRecommendationDaWhich optimisation tier to lead with for this site, and the evidence for it (docs/85 §7). Before this, the speed-up offer fired on a traffic-light band alone while the platform…

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