01Solve
A separate checker tests every constraint against the solution.
- status
- optimal
- gap
- to the proven bound
- checks
- every constraint, pass or fail
Compute for AI agents
Compute that answers.
Your agent asks the question. OneShot computes the answer and shows the checks.
01 Solve
What is the best choice?
Routes, carrier awards, truck loads and shift rosters, solved to a proven bound.
Solve reference- RoutingVehicles, stops, capacities and time windows
- AllocationLanes to carriers, lots to suppliers
- PackingItems into bins by size and weight
- SchedulingJobs on machines and people, in order
agent.solve({
problem: 'allocation',
allocation: {
objective: 'minimise_cost',
items: [{id: 'lane-1', quantity: 10}],
options: [{id: 'carrier-a', capacity: 10}],
pairs: [{item: 'lane-1', option: 'carrier-a', cost: 500}]
}
})
02 Predict
What will happen?
Run a scenario thousands of times, or forecast a series. Every number comes with its range.
Predict reference- SimulationMonte Carlo runs on uncertain inputs, percentiles out
- ForecastA time series in, prediction intervals out
agent.predict({
model: 'simulation',
simulation: {
variables: [{ id: 'burn',
distribution: { kind: 'normal', mean: 80, sd: 15 } }],
outputs: [{ id: 'runway', expression: '900 / burn' }]
}
})
03 Life sciences
What does the biology say?
Predict a protein's shape, dock a molecule, align sequences, and look up what is known.
Gene Summary referenceModels
- Protein structureA 3D model from a sequence, scored per residue
- DockingHow a molecule binds, poses ranked
- Sequence alignmentAgainst each other or a reference set
Lookups
agent.tool('lookup/gene-summary', {
symbol: 'TP53'
})Every sequence and molecule is screened before it runs.
Bring your sequencesEvery answer carries its checks.
02Predict
Every number comes with its range and the checks that ran.
- percentiles
- p5 to p95
- intervals
- 80% and 95%
- checks
- consistency of the inputs
03Life sciences
Every model answer says how sure it is and which model gave it.
- confidence
- per residue, per pose
- model
- name and version
- screen
- passed before it ran
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