Infrastructure

Platform

KittySports is a modular motorsports intelligence stack built for canonical data operations, driver and constructor ratings, predictive modeling outputs, and market-observational analytics.

The platform is designed as infrastructure first — all consumer products and data feeds are powered by the same underlying layers.

Status

Platform Status

✔KRS Ratings EngineLive

✔Public KRS Feed (v1)Live

✔KittyGP IntegrationLive

◐Data-derived signal automationIn Development

◐Pro APIPlanned

◐Enterprise APIPlanned

Live · API Catalog

Published Platform Feeds

The actual live platform surface, read from /feed/v1/index.json. Versions, maturity, freshness, and dependencies reflect the real published feeds.

Feed	apiVersion	dataVersion	Maturity	Depends On	Generated
krs-catalog	v1	f1@hybrid-openf1-2026-partial+motogp@ocblacktop-motogp-2026+nascar@ocblacktop-2026	prototype	krs	2026-07-28T23:10:22.414Z
krs-canonical	v1	f1@hybrid-openf1-2026-partial+motogp@ocblacktop-motogp-2026+nascar@ocblacktop-2026	prototype	krs, krs-nascar, krs-motogp	2026-07-28T23:41:47.773Z
krs	v1	hybrid-2026	prototype	—	2026-06-30T15:27:23.447Z
krs-nascar	v1	ocblacktop-2026	prototype	—	2026-07-28T03:43:48.462Z
krs-motogp	v1	ocblacktop-motogp-2026	prototype	—	2026-07-28T14:30:55.021Z
markets	v1	aggregate-2026	prototype	—	2026-07-11T17:50:56.224Z
signals	v1	signals-2026	prototype	krs, markets	2026-07-11T17:50:57.154Z
intelligence	v1	intelligence-2026	prototype	krs, markets, signals	2026-07-11T17:50:57.721Z

8 feeds · catalog generated 2026-07-28T23:42:07.172Z

Architecture

Three-Layer Architecture

The platform is organized into three vertical layers, each building on the layer below. This structure ensures clean separation between data provenance, intelligence production, and output delivery.

Data Layer

Domains

Canonical event, session, timing, and entrant records. Provider-agnostic ingestion with normalized schemas.

Intelligence Layer

Domains

Ratings engine, predictive models, confidence framework, and immutable prediction records.

Output Layer

Domains

Market comparison engine, projections feed, standings feed, and partner API infrastructure.

Capabilities

Platform Pillars

Six core capability areas that define the KittySports intelligence platform scope.

DATA

Canonical Sports Data

Unified event, session, lap, and entrant records built for consistency and replayability across historical and future datasets.

RATINGS

Driver & Constructor Ratings

Normalized strength ratings spanning individual drivers and constructors, calibrated against historical performance baselines.

PREDICTION

Predictive Modeling

Scenario-aware projections for finish outcomes, points, and variance using form, context, and constructor weighting.

ANALYTICS

Market Comparison

Observational comparison between proprietary model outputs and publicly available market-implied probability lines.

Historical Intelligence

Deep historical archive and attribution layer for calibrating model confidence and tracking model-vs-actual outcomes over time.

API

API / Data Infrastructure

Structured feed delivery layer for partner products, downstream analytics workflows, and external data consumers.

Domains

Infrastructure Domains

Each domain represents a discrete infrastructure capability within the platform stack.

Data Layer

Canonical Events

In Development

Normalized event, round, and session records unified across source providers.

Session & Timing Records

Planned

Lap-level and sector-level timing data structured for historical replay and analysis.

Historical Archive

In Development

Deep historical dataset spanning seasons, entrants, and results — built for long-range model calibration.

Provider Abstraction

In Development

Decoupled ingestion layer isolating upstream data providers from the canonical model.

Intelligence Layer

Ratings Engine

Operational

Driver and constructor strength scoring engine with configurable factor weighting and version history.

Predictive Models

Operational

Scenario-aware finish projections (podium / top-5 / top-10 / points) computed from Driver Strength — live in the KRS feed at prototype maturity.

Confidence Framework

In Development

Multi-signal uncertainty quantification — a confidence score is computed and published per driver today; broader cross-layer coverage is in development.

Auditability & Replayability

Planned

Immutable prediction records and model snapshot versioning for forensic model-vs-actual analysis.

Output Layer

Market Comparison Engine

In Development

Observational analytics comparing internal projections against publicly available market-implied lines.

Standings & Projections Feed

In Development

Structured output feed for championship standings projections and driver trajectory tracking.

API Infrastructure

Operational

Feed delivery layer is live — the versioned, read-only KRS v1 feed powers KittyGP today. Partner API keys, higher rate limits, and commercial tiers are planned.

Properties

Key Platform Properties

Architectural principles that guide platform design decisions.

Auditability

Every prediction output is an immutable record with a full input snapshot, enabling retrospective forensic analysis.

Replayability

Historical data snapshots allow any past race weekend to be re-processed through updated model versions.

Provider Abstraction

Upstream data sources are isolated behind a canonical schema layer — swapping providers does not affect downstream systems.

Version History

Model and rating snapshots are versioned. Each output is tied to the model state that produced it.

Confidence-Gated Outputs

All projection outputs carry a confidence score — consumers can filter or weight by certainty level.

Extensibility

The platform is designed to extend to additional motorsports categories without re-architecting core infrastructure.