pretickSales
Plan inventory and staffing around the next wave of demand.
Forecasting AI
Give it numbers.
Get the next set.
Turn the numbers you have into a view of what comes next. Forecast sales, revenue, costs, and pricing—the numbers behind real-world decisions.
5 free forecasts · No card required · Pay as you go
A little history. A clearer tomorrow.
Weekly sales · illustrative forecast
ObservedForecast + uncertaintyOne API call ↗
One endpoint. Any numeric time series.History in → forecasts outBuilt for developers. Ready for agents.
From data to decisions
See what could come next.
Build what happens after.
Revenue
Put a range around future revenue, with room for uncertainty.
Costs
Anticipate changing expenses, capacity, and resource needs.
Pricing
Explore the next movement in prices and market signals.
AI, beyond words
Most AI answers in words.
Pretick answers in numbers.
Language models generate language. Forecasting models learn from numerical time series to predict what might come next. No one can see the future—but AI can find patterns and signals that may not be obvious to us.
A forecasting model, on demand.
Call Chronos-2, Amazon’s time-series foundation model, through one simple endpoint. No recruiting, no infrastructure to manage. Just a request that costs cents.
A team of perspectives.
We’re building toward access to multiple foundation models: compare their forecasts, explore where they disagree, and combine their views into a consensus. Think of it as an on-demand team of numerical analysts.
A simpler forecasting stack
One endpoint.
A whole new outlook.
Send chronological numbers. Choose how far ahead to look. Get numerical predictions and uncertainty ranges back as JSON, ready for your app or AI agent.
Start with pretrained Chronos-2. No model hosting or training pipeline required.
Read the documentation ↗POST https://pretick.ai/v1/timeseries/forecast
Authorization: Bearer pretick_live_…
{
"history": {
"columns": ["sales", "temperature"],
"values": [ ...chronological numeric rows ]
},
"frequency": "1d",
"targets": ["sales"],
"horizon": 7,
"quantiles": [0.1, 0.5, 0.9]
}
// Numbers in. Numerical forecasts out.Forecasts are estimates, not guarantees. Test against your own held-out data before using them for decisions.