API · /openf1-api

OpenF1 Live Timing API

healthy 4,533 Subscribers

Formula 1 live timing and telemetry as an API, powered by OpenF1 — clean JSON, no key. List race weekends and their sessions (practice, qualifying, sprint, race), the drivers in any session with team and colours, and dive into the timing: lap times with sector splits and speed-trap speeds, pit stops with durations, tyre stints with compound and lap range, track weather (air and track temperature, humidity, rainfall, wind), race-control messages (flags, safety cars, penalties) and team-radio clips. Granular session-by-session data from 2023 onward. Distinct from F1 reference data: this is the live-timing and telemetry layer — ideal for live dashboards, strategy and lap-time analysis, second-screen apps and Discord bots. 9 data endpoints. Authenticated with an x-oanor-key; fair-use rate limits per plan.

api.oanor.com/openf1-api
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Machine-readable spec so AI agents can integrate this API.

/api/openf1-api/openapi.json
/api/openf1-api/llms.txt

Discovery: GET /api/index.json lists every API.

OpenF1 Live Timing API — live data on the oanor API marketplace

API health

healthy
Uptime
100.00%
Server probes · 24h
Avg latency
229 ms
Server probes · 24h
Subscribers
4,533
active
Total calls
190
last 7 days
status Full status page → · 20 probes/24h

Pricing

Pick a tier — billed monthly, cancel anytime.

Free

Free

  • 3,000 calls / month
  • 5 requests / second
  • Hard cap (429 above quota, no overage)
  • 3,000 calls/month
  • 5 req/sec
  • All 9 data endpoints
  • Telemetry & timing
  • No credit card
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Starter

€7.50 /month

  • 55,000 calls / month
  • 15 requests / second
  • Hard cap (429 above quota, no overage)
  • 55,000 calls/month
  • 15 req/sec
  • Sessions, laps & stints
  • Email support
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Pro

€31.00 /month

  • 300,000 calls / month
  • 30 requests / second
  • Hard cap (429 above quota, no overage)
  • 300,000 calls/month
  • 30 req/sec
  • Live dashboards & analysis
  • Priority support
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Mega

€97.00 /month

  • 1,300,000 calls / month
  • 80 requests / second
  • Hard cap (429 above quota, no overage)
  • 1,300,000 calls/month
  • 80 req/sec
  • Broadcast & platform scale
  • Dedicated SLA
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Built by

Related APIs

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Formula 1 API

Formula 1 reference data as an API, built on the Ergast / Jolpica F1 dataset — every driver, constructor and circuit in F1 history plus every season since 1950. Look up a driver by id or name (e.g. hamilton → Lewis Hamilton, code HAM, #44, British), a constructor/team (ferrari → Ferrari), or a circuit with its coordinates and country (monza → Autodromo Nazionale di Monza, Italy); or search across all three (e.g. "verstappen" → Jos & Max Verstappen). 879 drivers, 214 constructors, 78 circuits. Ideal for motorsport apps, fantasy F1, sports trivia and data dashboards.

api.oanor.com/f1-api

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Turbocharger Boost API

Turbocharger and boost engineering maths as an API, computed locally and deterministically — the pressure-ratio, charge-air and airflow numbers a tuner, engine builder or motorsport engineer sizes forced induction with. The pressure-ratio endpoint gives the compressor pressure ratio = absolute manifold pressure ÷ ambient = (atmospheric + boost) ÷ atmospheric, so 10 psi at sea level is a 1.68 ratio — the x-axis of every compressor map, which climbs at altitude where ambient pressure is lower. The charge-air endpoint shows why an intercooler matters: compressing air heats it (T₂ = T₁ × (1 + (PR^0.2857 − 1)/efficiency)), and hot air is less dense, so the real gain is the charge density ratio = pressure ratio × (T₁/T_charge), not the pressure ratio alone — 10 psi at 70 % compressor efficiency makes ~93 °C and a 1.37 density ratio with no intercooler, rising toward 1.6 once an intercooler claws back the heat, and the estimated power gain tracks the density. The airflow endpoint gives the engine mass airflow ≈ displacement × (rpm/2) × volumetric efficiency × charge density, in lb/min — the y-axis of the compressor map you plot against the pressure ratio to land in the efficient island and avoid surge or choke. Everything is computed locally and deterministically, so it is instant and private. Ideal for engine-tuning and turbo-sizing tools, dyno and data-logging apps, and motorsport calculators. Pure local computation — no key, no third-party service, instant. Sizing estimates — verify on a dyno. 3 compute endpoints. For engine displacement and compression use an engine API; for shop compressed air a compressor API.

api.oanor.com/turbo-api

Air-Fuel Ratio API — oanor API marketplace

Air-Fuel Ratio API

Air-fuel ratio and lambda maths for engine tuning as an API, computed locally and deterministically — the lambda, AFR and mixture numbers a tuner, ECU developer or motorsport engineer dials fuelling in with. The lambda endpoint turns a measured air-fuel ratio into lambda (the AFR divided by the fuel's stoichiometric AFR — 14.7 for gasoline) and the equivalence ratio φ = 1/lambda, classifying the mix as rich, stoichiometric or lean: a gasoline AFR of 13.0 is lambda 0.88, an 11.6 % rich mixture, the sort used at wide-open throttle for power and a cooler, safer burn. The afr endpoint runs it the other way — pick a target lambda and it gives the AFR the wideband should read — and because the AFR number is fuel-specific (E85's stoichiometric AFR is about 9.8, not 14.7) it always works from the right fuel, which is why pros tune in lambda when switching fuels. The mixture endpoint links the air the engine breathes to the fuel the injectors must add: give an air mass and a target lambda and it returns the fuel mass (or vice-versa), the heart of how an ECU sizes fuelling from measured airflow. Built-in stoichiometric ratios for gasoline, E10, E85, ethanol, methanol, diesel, LPG, propane, methane/CNG and hydrogen, or pass your own. Everything is computed locally and deterministically, so it is instant and private. Ideal for engine-tuning and dyno tools, ECU and standalone-management apps, motorsport and data-logging utilities. Pure local computation — no key, no third-party service, instant. 3 compute endpoints. For engine displacement and power use an engine API; for chemical reaction stoichiometry a stoichiometry API.

api.oanor.com/airfuel-api

Quarter Mile Drag API — oanor API marketplace

Quarter Mile Drag API

Quarter-mile drag-strip maths as an API, computed locally and deterministically — the classic empirical estimates a racer, tuner or car enthusiast uses to relate a car's power and weight to its performance. The et endpoint gives the predicted elapsed time and trap speed from flywheel horsepower and race weight using the standard formulas — ET = 5.825 × (weight ÷ hp) raised to the one-third, trap speed = 234 × (hp ÷ weight) raised to the one-third — so a 3,000 lb car with 300 hp is predicted to run about 12.6 seconds at 109 mph, assuming a competent launch and decent traction. The horsepower endpoint runs it in reverse: because trap speed is set by power-to-weight and barely by the launch, hp ≈ weight × (trap ÷ 234) cubed is a popular way to estimate flywheel power straight off a timeslip. The power-to-weight endpoint gives the ratio that actually decides acceleration — in horsepower per pound, horsepower per ton and watts per kilogram, the cleanest cross-unit figure — with a performance class from commuter through hot hatch and supercar to hypercar, because a light 200 hp car can beat a heavy 400 hp one. Everything is computed locally and deterministically, so it is instant and private. Ideal for drag-racing and tuner apps, car-spec and comparison tools, automotive enthusiasts and motorsport dashboards. Pure local computation — no key, no third-party service, instant. Empirical estimates assuming a good launch and traction — not a timeslip. 3 compute endpoints. For aerodynamic drag use a drag API; for gearing use a gear-ratio API.

api.oanor.com/quartermile-api

Frequently asked questions

Quick answers about pricing, quotas, and integration.

How do I get an API key for OpenF1 Live Timing API?
Sign up for free at oanor.com, generate an API key from the developer dashboard, and call OpenF1 Live Timing API with the x-oanor-key header. No credit card needed for the free tier.
What's the rate limit for OpenF1 Live Timing API?
Free tier allows 1 request per second. Paid plans scale up to 50 requests per second on the Mega tier. Hard limits return HTTP 429 above the quota — no surprise overage charges.
How much does OpenF1 Live Timing API cost?
OpenF1 Live Timing API has a free tier with 100 calls / month. Paid plans start at €7.50 / month with higher quotas and faster rate limits.
Can I cancel my subscription anytime?
Yes. Plans are billed monthly and you can cancel anytime from your billing dashboard. No long-term contracts and no cancellation fee.
Is OpenF1 Live Timing API GDPR-compliant?
All requests to OpenF1 Live Timing API go through our EU-based gateway. Your upstream API key never leaves our server and no personal data is shared with the upstream provider beyond the request you send.

Pick an endpoint from the list on the left to see its details and try it.

Code snippets

Sign up to get an API key, then call any path under your slug.

curl https://api.oanor.com/openf1-api/SOME_PATH \
  -H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/openf1-api/SOME_PATH", {
  headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/openf1-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
    "https://api.oanor.com/openf1-api/SOME_PATH",
    headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())

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