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@absolutejs/analytics

v0.1.1

Published

Typed, tenant-fenced, privacy-thresholded product and operational analytics primitives for AbsoluteJS.

Readme

@absolutejs/analytics

Typed product and operational analytics primitives for AbsoluteJS.

The package deliberately does not provide an unbounded client event collector. Callers declare every dimension and measure, identity-shaped dimensions are rejected, cardinality is bounded, and cohorts smaller than a configured privacy threshold are suppressed. The result is deterministic aggregate evidence that can feed dashboards, Outcomes, SLOs, incidents, and release gates without turning application telemetry into a shadow user database.

import {
  aggregateAnalytics,
  defineAnalyticsSchema,
} from "@absolutejs/analytics";

const schema = defineAnalyticsSchema({
  name: "route-performance",
  dimensions: ["route", "release"],
  dimensionNormalizers: { route: normalizeRouteTemplate },
  measures: ["durationMs"],
  minimumCohortSize: 10,
});

const snapshot = aggregateAnalytics(schema, observations, {
  groupBy: ["route", "release"],
  quantiles: [0.5, 0.75, 0.95, 0.99],
});

Tenant identity belongs at the storage/query authorization boundary and is not an analytics dimension. Prompts, tokens, email addresses, IP addresses, and user identifiers do not belong in this package's event contract.

Privacy thresholds apply independently to every measure as well as to its group. Dimension values that are direct email or IP identifiers are rejected; route-like values should use normalizeRouteTemplate or a stricter domain-specific normalizer before grouping. Hosts remain responsible for tenant authorization, bounded query variation, retention, and erasure.

compareCohorts requires both sample sizes to meet its configured minimum before it can label a directional change as a regression.