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Case Study Email and Phone Pattern Masking
x402
Case Study Email and Phone Pattern Masking is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Masks email addresses and phone numbers in case study documents using deterministic pattern matching, returning sanitized Markdown or plain text.
Price / call$0.01
Success—
StatusUnknown
How this service works
Case study - Email and phone pattern masking: Email and phone pattern masking for Case study. Supplied Markdown or plain text, up to 20,000 characters. Deterministic processing and document templates; no generative prose or fact checking. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded email and phone pattern masking deliverable.
Output
Returns the input Markdown or plain text with all email addresses and phone numbers replaced by masked/redacted patterns, preserving the rest of the document structure and content intact. Processing is deterministic — the same input always yields the same masked output.
Example use cases
Pre-publication case study sanitization
“I need to publish this case study on our website but it contains client email addresses and phone numbers — can you mask all the contact details in this document before I post it? Here's the full text: [case study content]”
Redacting client contacts for legal review
“Our legal team needs a version of this customer success case study with all emails and phone numbers removed before we share it externally. Please mask all contact patterns in this case study text.”
Anonymizing case study for sales deck
“I want to include this case study in a sales presentation but need to hide all the contact information first. Can you redact every email address and phone number from this Markdown document?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-writing-case-study-contact-mask?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, deterministic, rule-based masking of email and phone patterns in case study documents specifically. It is not a generative AI service, so output is consistent and reproducible. Prefer this over general-purpose LLM redaction when you need guaranteed pattern-level determinism and low cost ($0.01 USDC per call) for repeated processing of case study-format content.
Side effects
- Input text exceeds 20,000 character limit — request will be rejected
- Non-text or binary content submitted — cannot process
- Unusual or obfuscated contact formats may not be detected by pattern matching
- Empty or missing text field returns empty or default response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Tags
x402
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