Describe the task.
Label a few trials.
Wizard is Dydema’s mixture model for EEG classifiers. It tests licensed pretrained models on your own labeled trials and hosts the one that does best as your classifier. New trials come back labeled.
- Any 10-10 or 10-20 layout, any sampling rate, any trial length.
- ERP, motor imagery and movement, and sleep staging; other tasks are tested on your data.
- The choice is measured on your labels, and every score is in the response.
Research use only. Not a medical device.
curl -sS https://dydema--eegapi-gateway.modal.run/v1/task-models \
-H "Authorization: Bearer $DYDEMA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"description": "Motor imagery: imagined left-hand vs right-hand movement, 0-4 s after the cue",
"labels": ["left", "right", "left", …],
"x": [[[...]]],
"sampling_rate_hz": 250,
"units": "uV",
"channels": ["C3", "Cz", "C4", "FC3", "FC4", "CP3", "CP4", …]
}'View example responses
{
"object": "task_model",
"id": "clf_…",
"status": "active",
"classes": ["left", "right"],
"training_report": {
"balanced_accuracy": …,
"chance": 0.5
}
}
POST /v1/task-models/clf_…/predictions
{
"object": "list",
"data": [{ "object": "classification", "index": 0, "label": "right",
"probabilities": { "left": 0.21, "right": 0.79 } }]
}Signal values are omitted here. Run the complete example →
Send what you recorded. Get a classifier chosen on your data.
Send the trials you have
One epoch per trial, cut around your own event markers, with a label for each. Any sampling rate and any 10-10 or 10-20 layout, in any order. The API matches channels by name, resamples, and says in the response what it did.
Describe the task; your data decides
Wizard reads your description and the dataset's shape, never the signal, and selects licensed pretrained models or classical methods that fit it. Each is fitted and scored on your own trials; the best held-out score wins, and the training report comes back in the response.
Label new trials, and know what it cost
The task model is hosted with its own prediction route: each new trial comes back with a label and the probability of every class. Every response says what it cost, and the dashboard lists your task models with their measured accuracy.
Wizard selects compatible methods for your task and compares them on your labeled trials, retaining reference evidence when labels are scarce. The selected model is pinned to its exact version. Emotion recognition and clinical uses are refused. Research use only.
- Methods
- Selected automatically for your task, channels and available evidence.
- Input
- Reads the task description and the dataset's shape, never the signal.
- Selection
- Each method validated on your trials; the best is refitted on all of them.
- Output
- Held-out and cross-validated accuracy; a label and class probabilities per trial.
POST /v1/task-modelsCreate a task model
A task description and labeled trials in; a hosted task model out, with a validation report.
POST /v1/task-models/{id}/predictionsLabel new trials
Trials in; one label and the probability of every class per trial out, from a pinned model version.
PATCH · DELETE /v1/task-models/{id}Expire or delete
Set or clear an expiry, rename, or stop hosting; also on the dashboard.
Pay to create, then to host.
A one-time create fee ($1.00) includes the whole fit. Hosting is $1.00 a month per model, with an optional expiry. Predictions are billed per window ($0.003). No request or compute fees.
One task model
$1.00 once · $1.00 / month · $0.003 / window
USD, effective 2026-09-23. Test keys pay nothing.
Start
Fit your first task model.
Sign in, create a key, send labeled trials.
Need higher limits or a custom agreement? info@dydema.com