Spec

Frammenti di codice

curl "https://api.oanor.com/elo-api/v1/meta" \
  -H "x-oanor-key: oanor_test_..."

await fetch("https://api.oanor.com/elo-api/v1/meta", {
  headers: { "x-oanor-key": "oanor_test_..." }
});

$ch = curl_init("https://api.oanor.com/elo-api/v1/meta");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$out = curl_exec($ch);

import requests
requests.get(
    "https://api.oanor.com/elo-api/v1/meta",
    headers={"x-oanor-key": "oanor_test_..."}
)

Risposta di esempio

Una risposta reale di questo endpoint, acquisita dall'ultimo health check.

{
    "data": {
        "name": "Elo Rating API",
        "notes": "Expected score Ea = 1 / (1 + 10^((Rb − Ra) / 400)); new rating = R + K × (score − expected). A higher K-factor makes ratings move faster (32 is common; 16–24 for established players, 40 for new ones). Ratings are returned rounded to whole numbers, with a precise value alongside. This computes ratings — it does not store players or a leaderboard. Nothing is stored.",
        "version": "v1",
        "endpoints": [
            {
                "path": "/v1/expected",
                "params": {
                    "a": "player A's rating (required)",
                    "b": "player B's rating (required)"
                },
                "returns": "the win probability of each player and the favourite"
            },
            {
                "path": "/v1/match",
                "params": {
                    "a": "player A's rating (required)",
                    "b": "player B's rating (required)",
                    "k": "K-factor (default 32)",
                    "result": "a (A wins), b (B wins), draw — or 1, 0.5, 0 for A"
                },
                "returns": "both updated ratings, the point changes and expected scores"
            },
            {
                "path": "/v1/meta",
                "params": [],
                "returns": "this document"
            }
        ],
        "description": "Compute Elo ratings — the rating system used in chess, esports, games and leaderboards. The expected endpoint returns each player's win probability from their two ratings (the classic 1 / (1 + 10^((Rb−Ra)/400)) formula), tells you the favourite and the rating gap. The match endpoint applies a result — a win, a loss or a draw for player A — and returns both players' updated ratings, the points gained and lost, and the expected scores, using a configurable K-factor (default 32). Pure local maths, no key."
    },
    "meta": {
        "timestamp": "2026-06-03T17:42:19.795Z",
        "request_id": "af353ebe-e101-4a9c-8fd0-181168ef546d"
    },
    "status": "ok",
    "message": "Meta",
    "success": true
}