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Halowerk Med Trial Eligibility Parser
x402
Halowerk Med Trial Eligibility Parser is a paid API for AI agents from med.halowerk.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-15).
Parses a clinical trial's eligibility section into structured inclusion and exclusion criteria items, each with classification and verbatim source sentence
Price / call$0.006
Success—
StatusUnknown
How this service works
Retrieves the eligibility section of a registered trial and separates it into inclusion and exclusion criteria as individual items, each classified where the classification is unambiguous and each carrying the verbatim source sentence. The source sentence is the substance rather than a nicety: eligibility criteria decide whether a person can enter a study, a structured item without its origin cannot be checked, and a wrongly structured one goes unnoticed.
Output
A structured list of eligibility criteria items, each indicating whether it is an inclusion or exclusion criterion, its classification (where unambiguous), and the verbatim source sentence from the original trial registration.
Example use cases
Patient screening for trial enrollment
“I need to check if my patient qualifies for trial NCT03661073 — can you extract all the inclusion and exclusion criteria as individual structured items with the exact text from the trial registration?”
Research assistant eligibility review
“Pull the eligibility criteria for trial NCT04447781 and organize them into classified inclusion and exclusion items so I can review each one with its verbatim source.”
Clinical trial comparison tool
“For trial NCT05012345, break down the eligibility section into separate structured criteria — I want each criterion classified as inclusion or exclusion and tagged with the original sentence it came from.”
Technical details
Endpoint
POSThttps://med.halowerk.com/v1/trial-eligibilityWhen to prefer
Choose this endpoint when you need a machine-readable, item-by-item breakdown of a clinical trial's eligibility criteria with source traceability — especially for patient screening workflows, trial comparison tools, or compliance checks where the verbatim original text matters. Prefer it over raw text scraping because it handles the inclusion/exclusion classification automatically and preserves the source sentence for auditability.
Side effects
- Trial not found or not registered — returns an error indicating the trial ID is invalid or unrecognized
- Eligibility section absent or unparseable — returns an error or empty result if the trial has no structured eligibility text
- Ambiguous criterion classification — items with unclear polarity may be returned unclassified rather than forced into a category
- Network or upstream data source timeout — returns a service error if the clinical trial registry is unreachable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| nct_id | string | Registry identifier, e.g. NCT04267848. |
Tags
x402
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