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Saylor Innovations Running Pace & Race Predictor
x402
Saylor Innovations Running Pace & Race Predictor is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Calculates running pace per km/mile and speed from distance and time, then predicts finishing times for standard race distances using the Riegel formula.
Price / call$0.01
Success—
StatusUnknown
How this service works
Running pace per km and mile and speed from distance and time, plus Riegel race predictions for the mile, 5K, 10K, half marathon and marathon.
Output
Returns pace per km (mm:ss), pace per mile (mm:ss), speed in km/h and mph, total distance in meters, time in seconds, formatted time string, and an array of Riegel-formula race predictions for mile, 5K, 10K, half marathon, and marathon — each with predicted time, pace per km, pace per mile, and distance in meters. Also includes source attribution and a plain-language caveat note.
Example use cases
Marathon finish time prediction
“I just did a half marathon in 1 hour 58 minutes. Use that to predict what my full marathon finishing time would be, and also tell me my pace per kilometer and mile.”
Training run pace breakdown
“I ran 8km in 44 minutes and 15 seconds today. What was my pace per km and per mile, and how fast was I going in km/h and mph?”
Race goal pacing strategy
“If I want to finish a 5K in 24 minutes 30 seconds, what pace per mile and per km would that be, and what does the Riegel formula say my 10K and half marathon times would be at that fitness level?”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/health/running-pace?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need accurate running pace calculations from raw distance and time inputs, especially when race time predictions across multiple standard distances (mile through marathon) are needed in a single call. It is purpose-built for running and endurance sports, unlike generic unit-conversion APIs that lack the Riegel prediction model.
Side effects
- Missing required 'distance' or 'time' query parameters returns an error
- Malformed time string (not h:mm:ss, mm:ss, or seconds) causes parsing failure
- Invalid or unrecognized unit value falls back to default (km) or may error
- Zero or negative distance/time values may produce nonsensical results
- Extremely short distances or times may yield unreliable Riegel predictions
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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