Now in public beta

Financial Intelligence
Infrastructure

Scalable ML-powered APIs for forecasting, risk analytics, and market insights — built for developers and quants.

3
API Endpoints
99.9%
Uptime SLA
<100ms
Avg Latency
50+
Assets Supported
Capabilities
Everything you need to build
intelligent financial apps

Plug our APIs directly into your platform and start delivering ML-powered insights in minutes.

Trend Forecasting
Short-term market direction analysis powered by ML models trained on multi-asset time series data.
Volatility Estimation
Real-time volatility scoring for individual assets and portfolios using GARCH-inspired models.
Risk Analytics
Quantitative risk scoring and max drawdown estimation with configurable confidence intervals.
Anomaly Detection
Identify unusual market behavior, structural breaks, and regime changes using statistical scoring.
How it works
Three steps to market insights
1
Input asset or data
Pass any ticker symbol — equities, crypto, indices, or FX pairs — via query param.
2
API runs ML models
Our inference layer processes the request through trained forecasting and risk models in milliseconds.
3
Get structured insights
Receive clean JSON responses with trend direction, confidence scores, volatility, and risk metrics.

Start building with QuantAPI

Join developers and quants using our APIs to power their next generation of financial tools.

Interactive Demo

Run live analysis

Enter any asset symbol and get instant ML-powered insights from our API.

Asset Analysis

Type a ticker or pick one below

AAPL BTC NIFTY ETH TSLA GOLD
Trend Direction
Model forecast
—
Confidence
Model certainty
—
Volatility Score
30-day estimate
—
Risk Level
Risk scoring
—
Anomaly Detected
Structural break signal
—

Demo uses mock ML logic. Connect your own backend for live data.

Overview
Endpoints
SDKs

API Reference

The QuantAPI REST API provides ML-powered financial analytics via simple HTTP requests. All responses are JSON. Base URL: https://api.quantapi.io/v1

GET /forecast

Returns trend direction, confidence score, and volatility estimate for a given asset symbol using our short-term forecasting model.

ParameterTypeRequiredDescription
assetstringrequiredAsset ticker symbol (e.g. AAPL, BTC)
Request
GET https://api.quantapi.io/v1/forecast?asset=AAPL
Response · 200 OK
{
  "trend": "uptrend",
  "confidence": 0.64,
  "volatility": 0.21
}
GET /risk-score

Returns a qualitative risk label and numerical risk score for the specified asset based on drawdown and volatility metrics.

ParameterTypeRequiredDescription
assetstringrequiredAsset ticker symbol
Request
GET https://api.quantapi.io/v1/risk-score?asset=AAPL
Response · 200 OK
{
  "risk": "medium",
  "score": 0.55
}
GET /anomaly

Detects structural breaks and unusual market behavior using statistical anomaly scoring. Returns a boolean flag and a continuous score.

ParameterTypeRequiredDescription
assetstringrequiredAsset ticker symbol
Request
GET https://api.quantapi.io/v1/anomaly?asset=AAPL
Response · 200 OK
{
  "anomaly": false,
  "score": 0.12
}
Python SDK example
Python
import requests

res = requests.get('https://api.quantapi.io/v1/forecast',
  params={'asset': 'AAPL'})
data = res.json()
print(data['trend'], data['confidence'])