What Is an AI Market Intelligence API?
An AI market intelligence API is a machine-readable service that returns structured context about market conditions, signals, confidence, risk, consensus, and limitations for use in software, dashboards, research workflows, and AI-agent systems.
A raw market-data API may return prices, volume, candles, or order-book values. An intelligence API adds interpretation and structure around those inputs. It can help software answer questions such as: What broad market state is being detected? How confident is the system? Is risk elevated? Do human participants agree with the AI signal? When was the information generated?
KepAIx is designed as an educational intelligence layer. It publishes structured context and visible limitations without claiming guaranteed accuracy, profitable predictions, or personalized advice.
Why Structured Intelligence Matters
Developers and AI agents need predictable fields, timestamps, status values, confidence indicators, and documented limitations. A paragraph written only for human readers is harder for software to parse, compare, cache, validate, and incorporate into a larger workflow.
What KepAIx Provides
KepAIx exposes multiple educational intelligence endpoints. Each endpoint has a distinct responsibility so developers can request only the context needed for their application.
/api/market-regime.php
Compact market-state, direction, confidence, risk, and bullish-versus-bearish context.
/api/main-brain.php
Public Main Brain state, direction, confidence, performance context, and freshness.
/api/liquidity-lite.php
Compact liquidity-oriented context intended for lightweight integrations.
/api/derivatives.php
Educational derivatives intelligence and related market conditions.
/api/human-consensus.php
Current human votes, percentages, consensus, disagreement, and round timing.
/api/teacher-lessons.php
Educational learning metrics, recent lessons, participation, and comparison outcomes.
/api/statistics.php
Structured public statistics for platform and intelligence evaluation.
/api/reasoning.php
Public educational reasoning context without exposing protected internal methods.
Example JSON Response
The exact fields vary by endpoint. A compact market-intelligence response may follow a structure like this:
{
"project": "KepAIx",
"type": "educational_market_intelligence",
"market_mode": "risk_on",
"brain_direction": "bullish",
"confidence": 58,
"risk_score": 43,
"bullish_percentage": 27.8,
"bearish_percentage": 7.8,
"generated_at": "2026-07-13T14:44:53-04:00",
"disclaimer": "Educational information only."
}
Example values are shown to explain structure. Applications should always read the live endpoint, validate the response, check timestamps, handle missing fields, and respect endpoint-specific documentation.
Call the API With curl
The public Market Regime endpoint can be requested without authentication:
curl -fsSL https://kepaix.com/api/market-regime.php
A production integration should also verify the HTTP status, content type, JSON validity, generated timestamp, and any disclaimer or limitation fields included in the response.
JavaScript Example
const endpoint = "https://kepaix.com/api/market-regime.php";
async function loadKepaixIntelligence() {
const response = await fetch(endpoint, {
headers: {
"Accept": "application/json"
}
});
if (!response.ok) {
throw new Error(`KepAIx request failed: ${response.status}`);
}
const intelligence = await response.json();
console.log("Market mode:", intelligence.market_mode);
console.log("Direction:", intelligence.brain_direction);
console.log("Confidence:", intelligence.confidence);
return intelligence;
}
loadKepaixIntelligence().catch(console.error);
Python Example
import requests
endpoint = "https://kepaix.com/api/market-regime.php"
response = requests.get(
endpoint,
headers={"Accept": "application/json"},
timeout=15,
)
response.raise_for_status()
intelligence = response.json()
print("Market mode:", intelligence.get("market_mode"))
print("Direction:", intelligence.get("brain_direction"))
print("Confidence:", intelligence.get("confidence"))
Using KepAIx With AI Agents
AI agents can use KepAIx endpoints as structured external context. The response can be combined with other verified sources, user instructions, application rules, and explicit risk boundaries.
A responsible agent workflow should:
- check the endpoint status before trusting the response;
- verify that JSON parsing succeeded;
- inspect the generated timestamp and freshness;
- treat confidence as context rather than certainty;
- preserve educational disclaimers and limitations;
- avoid turning general intelligence into personalized financial advice;
- fall back safely when data is stale, incomplete, or unavailable.
Developer Use Cases
Free and x402 Access
KepAIx provides multiple free public educational endpoints. These are suitable for exploration, documentation review, prototypes, dashboards, and developer testing.
KepAIx also operates a verified x402 Market Regime endpoint:
/api/x402-market-regime.php returns HTTP 402 when payment is required. The verified payment challenge advertises x402 version 2, Algorand, USDC asset 31566704, a price of 0.01 USDC, and a 60-second payment timeout.
A payment-required response is not the same as a successful paid request. Applications must complete the supported payment flow and receive a successful resource response before paid access is proven.
Market Intelligence vs Raw Market Data
Market data describes observed values such as price, volume, open interest, funding, order-book depth, or volatility. Market intelligence organizes signals and observations into a more interpretable context.
KepAIx should not be treated as a replacement for primary market-data providers. It is an educational intelligence layer that can be used alongside raw data, independent research, and application-specific logic.
Limitations and Responsible Use
- Market intelligence can be incomplete, delayed, uncertain, or wrong.
- Confidence values are not guarantees.
- Historical accuracy does not guarantee future results.
- Endpoint availability and schemas should be validated by client applications.
- KepAIx does not provide personalized investment recommendations.
- Developers are responsible for safe error handling and appropriate application disclosures.
KepAIx provides educational information only. It does not provide financial, investment, trading, tax, legal, betting, gambling, or fund-management services.
Frequently Asked Questions
Start Building
Begin with the Market Regime endpoint, inspect the live JSON, then review the full API documentation, OpenAPI specification, Postman documentation, and developer examples before integrating additional services.