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PennyRail Naive Baseline Forecaster
x402
PennyRail Naive Baseline Forecaster is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Generates mean, naive, and drift baseline time-series forecasts with 95% prediction intervals as a sanity-check floor before using more complex models.
Price / call$0.001
Success—
StatusUnknown
How this service works
Generate mean, naive and drift baseline forecasts with simple 95% prediction intervals. Useful as a sanity floor before paying for a more complex forecasting model. Exact-match PennyRail gap-arbitrage route.
Output
Returns mean, naive, and drift baseline forecast values along with 95% prediction intervals for each method, providing a statistical floor against which more sophisticated models can be benchmarked.
Example use cases
Sanity-check before ML investment
“I have 18 months of weekly website traffic numbers and I want to see what a naive baseline forecast says before I spend money on a proper ML model — give me the mean, naive, and drift forecasts with 95% prediction intervals.”
Benchmark for model comparison
“Generate naive, mean, and drift baseline forecasts with 95% prediction intervals for my quarterly revenue series so I can compare them against the ARIMA model my team built.”
Quick forecast for budget planning
“I need a fast rough forecast of my monthly utility costs using my last 12 months of data — just give me the simple baseline forecasts with prediction intervals, nothing fancy.”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/bazaar/forecast-naiveWhen to prefer
Choose this endpoint when you need a cheap, fast sanity-check forecast before committing to expensive or complex time-series models. It is ideal as a benchmark baseline, a first-pass prediction, or when the cost of a sophisticated model is not yet justified. Prefer this over ML-based forecasting APIs when simplicity, speed, and cost ($0.001/call) matter most.
Side effects
- Insufficient historical data points causing degenerate or missing forecasts
- Malformed body payload resulting in a 400 validation error
- Missing required fields in the input body causing rejection
- Payment not settled or x402 payment header missing causing 402 response
- Body type mismatch between declared bodyType and actual payload format
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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