API Documentation
Overview
ZeroAI provides hourly and daily cryptocurrency price predictions. Our API delivers forecasted prices for selected cryptocurrencies with high accuracy, drawing data from binance.us.
API Endpoint
https://jgnojpprhahljpqfmqqs.supabase.co/functions/v1/zeroai-api
Frequency of Data Update
Hourly Forecasts: Updated every integer hour for the upcoming hour.
Daily Forecasts: Updated at 00:00 UTC daily for the next day.
Note: The day begins at UTC time (GMT+0). Please avoid repeated requests for the same data.
Available Cryptocurrencies
Bitcoin (BTC)
Ethereum (ETH)
Request Format
GET https://jgnojpprhahljpqfmqqs.supabase.co/functions/v1/zeroai-api?symbol=[cryptocurrency]
Example: https://jgnojpprhahljpqfmqqs.supabase.co/functions/v1/zeroai-api?symbol=btc
Response Format
Each request returns a JSON array containing two objects: one for the hourly forecast (1h) and one for the daily forecast (1d). Each object includes the following fields:
symbol: Cryptocurrency symbol (e.g., BTC, ETH).
average: Average of the highest and lowest prices over the last period.
moving_average: Average price over the last five periods (5 hours or 5 days).
forest_price: Price predicted by the Random Forest model. Known for stable predictions over larger periods.
prophet_price: Price predicted by the Neural Prophet model. Often more accurate when there are clear price trends.
lstm_price: Price predicted by the LSTM model. Known for good fit and wider prediction ranges, capable of handling minor unpredictable price fluctuations.
stacking_price: The meta-model price, derived from the Ridge algorithm based on the first three models. It's the primary forecast used by ZeroAI, known for good performance in trend prediction.
real_price: Closing price of the previous period, also the current price at the time of data retrieval.
prediction_date: The time of prediction. Format:
YYYY-MM-DDTHH:MM:SS.000Z.frequency: Time scale of the prediction (
1dfor daily,1hfor hourly).generation_time: Time when the prediction was generated.
accuracy: Relative error of the last period in percentage (e.g., 0.23 for 0.23%).
open: Opening price of the last period.
high: Highest price of the last period.
low: Lowest price of the last period.
price_deviation: Absolute error of the last period, measured as Mean Absolute Error (MAE).
pred_img: URL to the prediction chart image.
Example Response:
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