Tennis Prediction API:
power your product with TIPERO's AI engine

Who uses the Tennis Prediction API

What's in the API

REST endpoints for daily picks, historical performance, and live stats. WebSocket channel for live odds-drift alerts. JSON over HTTPS, Bearer-token auth.

Sample response — /v1/predictions/today

// GET /v1/predictions/today  (truncated)
{
  "date": "2026-05-07",
  "tour": "ATP",
  "published_at": "2026-05-06T22:30:00Z",
  "picks": [
    {
      "match_id": "atp-2026-05-07-sinner-alcaraz",
      "player_pick": "Jannik Sinner",
      "opponent": "Carlos Alcaraz",
      "surface": "clay",
      "tournament": "Madrid Open",
      "confidence": 62,
      "ev_pct": 4.8,
      "kelly_stake_units": 0.85,
      "tier": "CORE",
      "best_odds": 2.10,
      "best_book": "Pinnacle",
      "model_features": { /* full feature dump */ }
    }
    // ...more picks
  ]
}

Code samples

cURL

curl -H "Authorization: Bearer YOUR_API_KEY" \
     https://api.tipero.app/v1/predictions/today?tour=ATP

JavaScript / Node

const r = await fetch("https://api.tipero.app/v1/predictions/today", {
  headers: { Authorization: `Bearer ${process.env.TIPERO_API_KEY}` }
});
const data = await r.json();
data.picks.forEach(p => console.log(p.player_pick, p.confidence, p.ev_pct));

Python

import requests, os
r = requests.get(
  "https://api.tipero.app/v1/predictions/today",
  headers={"Authorization": f"Bearer {os.environ['TIPERO_API_KEY']}"},
)
for p in r.json()["picks"]:
  print(p["player_pick"], p["confidence"], p["ev_pct"])

Pricing

All plans require a signed Data Licence Agreement (DLA). NDAs available on request before discussions. Annual prepay = 17% discount on Starter / Growth.

Reliability & data quality

The model retrains weekly on the prior week's graded outcomes — drift is detected and the calibration head is updated automatically. The historical track record never changes; new training improves future picks, never rewrites past ones. This means your integration's data quality is monotonically improving without you doing anything.

Integration timeline

1. Day 0: You email hello@tipero.app with use case + expected volume. We respond within 24h.
2. Day 1-2: 15-minute demo + DLA review. We provision a sandbox API key (rate-limited but live data) within an hour of agreement.
3. Day 2-7: You build against the sandbox. We're on Slack/email for any questions.
4. Day 7+: First payment processed. Production API key issued. White-label rights activate (Growth+).

Most partners go from first email to live integration in under 14 days.

Why TIPERO over building it in-house

Time-to-market

Building a calibrated tennis prediction model takes 6-18 months and requires sports-data engineering, ML calibration, and grading infrastructure. TIPERO has this running in production — your integration takes days, not quarters.

Track record & trust

Every pick is publicly graded on our track record page. Your customers can verify the historical performance independently. You don't have to take our word for it; the data is on the public site.

Cost vs in-house build

A senior data scientist + sports data engineer + cloud infrastructure for a tennis ML model runs €120-250k/year fully loaded. TIPERO Growth at €1,499/month = €17,988/year. Even at Enterprise pricing, the savings are 5-10x — and you get the model, not just access to one.

Continuous improvement

Self-learning v3 head retrains weekly. New features (FlashScore stats integration, surface-specific Elo refinements, market-signal blending) ship monthly. You inherit all of these without contract renegotiation.

FAQ