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Documentation Index

Fetch the complete documentation index at: https://docs.verial.ai/llms.txt

Use this file to discover all available pages before exploring further.

Datasets hold synthetic patient data (FHIR bundles, files, or other formats) that can be loaded into Sandboxes. Datasets can be hand-crafted or generated from a prompt.

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Endpoints

MethodEndpointDescription
GET/datasetsList datasets
POST/datasetsCreate a dataset
GET/datasets/{id}Get dataset details
PATCH/datasets/{id}Update a dataset
DELETE/datasets/{id}Delete a dataset

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Dataset Object

FieldTypeDescription
idstringUnique identifier
namestringDataset name
descriptionstring | nullOptional description
typeFHIR | Files | nullData format
dataunknown | nullThe dataset contents
configobject | nullGeneration or schema configuration
organization_idstringParent organization
created_atdatetimeCreation timestamp
updated_atdatetimeLast modification timestamp

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SDK Example

// Create a dataset
const dataset = await verial.datasets.create({
  name: 'Diabetes patient panel',
})

// List all datasets
const datasets = await verial.datasets.list()

// Get a specific dataset
const details = await verial.datasets.get({ id: dataset.id })

// Update
await verial.datasets.update({
  id: dataset.id,
  description: '50 patients with Type 2 diabetes',
  data: fhirBundle,
})

// Generate data from a prompt
await verial.datasets.generate({
  id: dataset.id,
  prompt: '10 patients with pending prior auth requests',
})

// Delete
await verial.datasets.delete({ id: dataset.id })