Siraat Open Data API

About the dataset

For the first time in history, Muslims can measure the quality of their Salah — not just whether it was prayed, but how present, sincere and complete it was. Siraat turns that into a structured, anonymised, open dataset for the whole Ummah.

Understanding the Salah Quality Score

Every prayer is scored from 1 to 10 (also shown as a percentage and an A–F grade). The score is not a black box — it is a transparent, additive formula. It begins with the average of seven quality dimensions, then adds small bonuses for the sunnah acts that beautify a prayer and subtracts penalties for lapses, before being clamped to the 1–10 range.

score = clamp( BASE + BONUSES − PENALTIES , 1.0 , 10.0 )

BASE = ( khushu + wudu + niyyah + confidence
         + tadabbur + ruku + sujud ) / 7

Privacy comes first

Every record is de-identified before it ever leaves Siraat. The data is rich enough for serious analysis, yet no individual can be recognised.

Endpoints

All endpoints are open GET requests that return JSON. Click any URL to try it.

Quick start

No authentication needed. Point any tool at the endpoints — or pull the CSV straight into spreadsheets, Looker Studio, or a data notebook.

// Fetch community stats
const res = await fetch('https://siraat.org/api/public/stats')
const stats = await res.json()
console.log(stats)

// Fetch the first 1000 de-identified prayer records
const r = await fetch('https://siraat.org/api/public/records?limit=1000')
const { records } = await r.json()

import pandas as pd

# Load every de-identified record straight into a DataFrame as CSV
url = "https://siraat.org/api/public/records?format=csv"
df = pd.read_csv(url)

# Ready to plot on a map: each row has latitude, longitude, city & country
map_df = df.dropna(subset=["latitude", "longitude"])
print(map_df[["city", "latitude", "longitude", "quality_score"]].head())

# Community stats
curl https://siraat.org/api/public/stats

# Records as CSV, only Fajr prayers in Ghana
curl "https://siraat.org/api/public/records?prayer=Fajr&country=Ghana&format=csv"

library(readr)

# Load de-identified records directly into R
df <- read_csv("https://siraat.org/api/public/records?format=csv")
summary(df$quality_score)

Field dictionary

Every column returned by the /records endpoint. Dates use the ISO 8601 calendar format (YYYY-MM-DD) and times are plain time-of-day values in UTC (HH:MM:SS), so the feed reads identically anywhere in the world.

What can you build?

The data is open for good. Here are a few of the many ways it can be put to use.

Frequently asked