Skip to main content
KEPAiX
INTELLIGENCE PLATFORM
PUBLIC PROJECT
KepAIx Architecture

Structured Market
Intelligence Architecture

Verified Inputs. Protected Processing. Versioned JSON. Human + Developer + AI x402 Access.
KepAIx is engineered as an educational market intelligence platform that transforms verified public inputs and protected internal processing into structured, versioned JSON for developers, AI agents, researchers, dashboards, and educational applications. The architecture emphasizes confidence reporting, timestamps, transparent uncertainty, source limitations, and stable public product identities. The system explains what is available without exposing proprietary formulas, weights, thresholds, normalization, heuristics, prompts, adaptive rules, or reasoning assembly.
PlatformEducational market intelligence
SchemaVersion 0.1.0
AccessFree discovery + premium x402
MethodsPublic outputs, protected processing

Architecture Summary

Verified Inputs KepAIx begins with source-dependent market information that may vary in freshness, completeness, and availability.
Protected Processing Internal formulas, weights, thresholds, normalization, heuristics, prompts, adaptive rules, and reasoning assembly remain proprietary.
Structured Outputs Public products return organized JSON with stable identifiers, schema information, timestamps, confidence, and limitations.
Two Access Layers Free APIs support discovery and evaluation, while separate premium x402 paths support human reports, developer applications, and AI-agent access.

System Map

Market Data Inputs Public and source-dependent inputs provide the raw context available to KepAIx.
Product Verification Only products that exist and can be documented accurately are included in the public catalog.
Versioned JSON Public interfaces expose structured responses with schema version 0.1.0.
Free + x402 Access Builders can evaluate free discovery APIs or request premium resources through x402 v2.
Verify. Process. Structure. Qualify. Deliver.
KepAIx separates public interface design from proprietary intelligence assembly. The architecture exposes useful educational outputs, stable product identities, confidence context, timestamps, and source limitations while protecting internal methods and implementation details.
1VerifyConfirm the source and product are real and publicly supportable.
2ProcessApply protected internal intelligence assembly.
3StructureReturn predictable, machine-readable JSON.
4QualifyReport confidence, timestamps, uncertainty, and limitations.
5DeliverServe free discovery or premium x402 resources.

What KEPS Means

Knowledge-Enhanced Prediction Systems KEPS remains a useful internal architectural concept for systems that combine structured observations, protected interpretation, confidence context, and later review.
Public Positioning KEPS is not the primary public identity of KepAIx. The public platform is an educational market intelligence platform with verified products and documented interfaces.
Why The Distinction Matters Separating internal architecture language from public product identity prevents confusion and keeps external claims precise.

What This Page Explains

The Platform Structure How verified inputs, protected processing, public JSON, and access layers fit together.
The Product Boundaries Which public products are verified today and how they are identified.
The Builder Path How developers and AI agents evaluate free APIs and request premium x402 resources.

The Four Architecture Layers

1. Input Layer Source-dependent market information enters with freshness and completeness constraints.
2. Protected Core Private formulas, weights, thresholds, normalization, heuristics, prompts, and adaptive rules assemble intelligence.
3. Public Product Layer Verified products expose structured, versioned JSON with confidence and limitations.
4. Access Layer Free discovery APIs and premium x402 resources serve developers, researchers, dashboards, and AI agents.

The Problem: Market Intelligence Friction

Fragmented Inputs Market context is spread across regime, liquidity, derivatives, confidence, and risk signals.
Weak Machine Readability Developers and agents often encounter inconsistent structures, missing timestamps, and unclear limitations.
Unclear Claims Outputs are less trustworthy when certainty, freshness, and source constraints are not stated plainly.

The KepAIx Answer

Stable Product Identity Every verified public resource has a defined name, identifier, endpoint, and role.
Structured Output Responses are designed for predictable parsing by software, dashboards, and AI agents.
Truth-First Context Confidence, timestamps, uncertainty, source limitations, and educational notices remain visible.

Verified Public Product Architecture

Free Discovery APIs KEP-API-001 through KEP-API-004 provide public educational intelligence for discovery, testing, and integration planning.
Premium x402 Access Paths Structured x402 resources serve developers and AI agents, while the ATLAS Premium Human Report provides a separate browser-facing protected report.
Related Arena Experience The Prediction Arena remains a related educational experience, not the primary identity of the architecture.
Read API Docs Arena How It Works

Verified Product Catalog

KEP-PLATFORM-001KepAIx Educational Market Intelligence Platform.
KEP-API-001Main Brain Snapshot API — /api/main-brain.php
KEP-API-002Market Regime API — /api/market-regime.php
KEP-API-003Liquidity Lite API — /api/liquidity-lite.php
KEP-API-004Derivatives Intelligence API — /api/derivatives.php
KEP-X402-001x402 Market Regime Intelligence — /api/x402-market-regime.php — 0.01 USDC structured access
KEP-X402-002ATLAS Premium structured intelligence — /api/x402-atlas.php — 0.02 USDC developer / AI-agent access
ATLAS Human ReportATLAS Premium Human Report — /api/x402-atlas-human-report.php — 0.10 USDC browser report

Trust & Method Boundaries

Confidence Is Not Certainty Confidence values communicate model context, not guaranteed correctness or guaranteed outcomes.
Source Limits Stay Visible Source-dependent information may be stale, delayed, incomplete, or unavailable.
Protected Methods Stay Private Formulas, weights, thresholds, normalization, heuristics, prompts, adaptive rules, and reasoning assembly are not exposed publicly.

Why x402 Matters In The Architecture

Human + Machine-Payable Access x402 v2 supports separate products: software and AI agents can unlock documented structured resources programmatically, while human readers can purchase the protected ATLAS Premium Human Report through the browser client.
Sustainable Delivery Premium per-request access helps support infrastructure and continued product improvement.
No Guaranteed Value Payment unlocks a resource. It does not guarantee usefulness, completeness, profit, accuracy, or any market outcome.
Developer Access x402 Challenge

Technical Positioning

Educational Market Intelligence Platform The primary public category for KepAIx.
Structured Versioned JSON The public interface standard for developers, AI agents, researchers, and dashboards.
Free + Premium Access Discovery APIs and machine-payable x402 resources form the external access architecture.

AI Search Understanding

Clear Entity Language KepAIx should be understood as a platform with named, verified public products—not as only a game, widget, or single API.
Structured Concepts Product identifiers, endpoints, schema versions, confidence, timestamps, and limitations help AI systems interpret the platform accurately.
Careful Claims Public documentation avoids certainty, profit claims, trading instructions, custody claims, and unsupported product descriptions.

Development Timeline

1
Educational Intelligence Foundation KepAIx began by organizing market context for educational use without custody, brokerage, or automated trading.
2
Main Brain Development The platform developed a protected intelligence core capable of producing public summaries, confidence context, and regime information.
3
Public Product Layer KepAIx added verified public APIs for Main Brain snapshots, market regime, liquidity, and derivatives intelligence.
4
x402 Premium Access The platform now separates premium x402 access into structured developer / AI-agent resources and a 0.10 USDC ATLAS Premium Human Report using x402 v2 on Algorand Mainnet.
5
Unified Product Architecture The current architecture aligns product identifiers, schema version 0.1.0, documentation, confidence, limitations, and protected methods.

Explore Related Architecture Paths

KepAIx HomeStart with the verified platform and product overview. DevelopersExplore JSON resources, product identifiers, and x402 access. API DocsReview endpoint behavior, schema details, examples, and limitations. x402 ChallengeSee the human report, developer / AI-agent resources, verified browser flow, and current x402 terms. WhitepaperRead the full platform specification and public product standard. About KepAIxLearn the mission, leadership, trust standards, and educational boundaries.

Truth-First Architecture Statement

Educational OnlyKepAIx provides educational market intelligence, not financial advice.
Confidence, Not CertaintyOutputs remain uncertain and source-dependent.
Protected MethodsPublic interfaces do not expose proprietary processing.
Pay-Per-Use x402x402 unlocks separate human and machine-readable products; payment does not imply guaranteed value or outcomes.
Review API Docs View x402 Challenge