Event and metric ingestion
Defined as an explicit contract so operators can review it before it runs.
Knowledge & context · Concept
An API-first analytics and decision intelligence platform that turns events, metrics and business outcomes into reproducible, machine-consumable answers.
HeadlessAnalytics is built for SaaS teams, developers, ecommerce operators, marketing analysts, enterprises.
HeadlessAnalytics replaces embedded analytics silos, manual BI reporting and proprietary dashboard-only analytics.
An API-first analytics and decision intelligence platform that turns events, metrics and business outcomes into reproducible, machine-consumable answers.
Work stays inside an explicit scope: named sources, defined permissions, bounded execution, retained evidence.
Five contracts the product is specified around. Each one is a boundary as much as a feature.
Defined as an explicit contract so operators can review it before it runs.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Defined as an explicit contract so operators can review it before it runs.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
The same three steps apply whether a person or an agent is driving.
Start from the boundary HeadlessAnalytics is allowed to act inside: the workspace, the sources, the budget, the authority.
Expose the same capability through the interface a human uses and the interface an agent calls, with one permission model.
Every action leaves a record that can be inspected, replayed and challenged before the next one runs.
HeadlessAnalytics is documented as a concept: requirements, interfaces and evidence expectations. It is not presented as a live service.