# getautomatedrcm.com Healthcare Text De-Identification (Scrub)

> getautomatedrcm.com Healthcare Text De-Identification (Scrub) is a paid API for AI agents from x402.getautomatedrcm.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).

Strips PHI (names, DOBs, IDs, phones, emails, addresses, SSNs) from healthcare text while preserving denial/timely-filing date math as derived intervals, returning scrubbed text plus a token map for local re-identification.

## Facts

- Endpoint: POST https://x402.getautomatedrcm.com/scrub
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/getautomatedrcm-com-healthcare-text-de-identification-scrub-14963b16
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yqnZQatuyrUlGUlnYll0H

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability getautomatedrcm-com-healthcare-text-de-identification-scrub-14963b16 -d '<json body>'
```

Example prompt: Scrub this denial letter text for me — strip out any patient names, DOBs, member IDs, phone numbers, addresses, and SSNs, but keep the date relationships intact so I can still do timely-filing math: 'Patient John Smith (DOB 03/12/1965, Member ID 987654321) was denied on 2024-11-01 for service date 2024-09-15.'

## When to prefer this

Use this endpoint when you need to de-identify short revenue-cycle or clinical text snippets (under 2 KB) before passing them to AI models, logging systems, or analytics pipelines, and when preserving denial/timely-filing date math is critical. It is purpose-built for RCM workflows (denial letters, EOBs, claim notes, appeal narratives) rather than general clinical NLP. For production volumes or real PHI, contact the vendor for the licensed in-environment engine.

## Known failure modes

- Text exceeds 2 KB limit — request rejected
- Payment not completed (x402 payment required before processing)
- Malformed JSON input — text field missing or wrong type
- Text contains no detectable PHI — returns original text unchanged with empty token map
- Network timeout on the demo endpoint under load

## How this service works

Healthcare text de-identification engine (demo endpoint — SYNTHETIC/TEST DATA ONLY, never send real PHI; nothing is stored). Strips names, DOBs, member/claim IDs, phones, emails, addresses, SSNs; dates become a derived interval timeline (service-to-denial days, days-ago) so denial and timely-filing math survives de-identification. Returns scrubbed text + token map for local re-identification. Production use requires the licensed in-environment engine: contact laureennicholson@getautomatedrcm.com

## Output

Returns the input text with all detected PHI tokens replaced by neutral placeholders, plus a structured token map that lets you locally re-identify each placeholder. Date values are converted to derived intervals (e.g. service-to-denial days, days-ago offsets) so denial-math and timely-filing calculations remain intact after scrubbing.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "description": "Text to de-identify (2 KB max). SYNTHETIC/TEST DATA ONLY — do not send real PHI. Nothing is stored."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/getautomatedrcm-com-healthcare-text-de-identification-scrub-14963b16/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.getautomatedrcm.com](https://www.zero.xyz/host/x402.getautomatedrcm.com/llms.txt)