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Analüütika: vaade

Analüütika on kasutaja oleku lugemine. Lehtrid, hoidmine ja kohordid on päringud sama reaalajas projektsiooni üle, millele ülejäänud mootor tegutseb.

At a glance

Host
https://eu.api.prodantix.com
Ingest
POST /v1/events, /v1/identify, /v1/group
Batch size
1 to 1000 events per batch
Answers
202 Accepted: accepted for processing, not yet stored
Auth
projectKey as a bearer token
  • Lehtrid ja hoidmine arvutatud reaalajas olekul, mitte öise andmelao koondamisena
  • Kohordid määratakse korra ja püsivad ajakohasena sündmuste saabudes
  • Pole SQL-i edasi-tagasi reisi, olek on juba küsimuse jaoks vormitud

Kuidas see töötab

Events land on the EU ingestion host, are buffered through Redpanda and written to ClickHouse. Queries read from ClickHouse, so a funnel over thirty days answers in the same shape whether it spans a thousand events or a billion.

Ingestion answers 202. That is acceptance for processing, not proof of storage, a malformed event is still dropped further down the pipeline.

Kust seda leida

SurfaceOperation
RESTPOST /v1/events · POST /v1/identify · POST /v1/group
GraphQLanalytics query · events query · dashboards, cohorts
MCPprodantix.analytics.runQuery

Näide

curl -X POST "https://eu.api.prodantix.com/v1/events" \
  -H "Authorization: Bearer $PRODANTIX_KEY" \
  -H "Content-Type: application/json" \
  -d '{"batch":[{"distinct_id":"u_8f3a","name":"order.completed","properties":{"amount":4200}}]}'

Querying a funnel

GraphQL
query Funnel($projectId: String!) {
  analytics {
    funnel(
      projectId: $projectId
      steps: ["signup.started", "signup.completed", "order.completed"]
      window: "P30D"
    ) {
      step
      users
      conversion
    }
  }
}