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PennyRail Email Extractor
x402
PennyRail Email Extractor is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.001/call, status down (last checked 2026-09-15).
Extracts all email addresses found within an input text string
Price / call$0.001
Success—
StatusDown
How this service works
Machine-readable settlement service
Output
A JSON object containing the email addresses extracted from the provided input text, likely as an array of matched email strings found within the content.
Example use cases
Extract contacts from scraped webpage
“I just scraped the HTML from a company's contact page — can you pull out all the email addresses from this text blob so I can build a contact list?”
Parse emails from support ticket
“Here's the raw text of a customer support ticket with a long thread — find all the email addresses mentioned in it so I know who was involved in the conversation.”
Harvest emails from job posting
“I have the full text of a job posting that lists several recruiter contacts. Can you extract just the email addresses from it?”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/nano/text.extract-emails--find-email-addressesWhen to prefer
Choose this endpoint when you need a quick, low-cost ($0.001 USDC) microservice call to extract email addresses from arbitrary text without setting up your own regex or NLP pipeline. Ideal for agents processing scraped content, documents, or user-submitted strings where contact email harvesting is needed on demand.
Side effects
- No emails found in input — returns empty list or empty result
- Malformed or non-string input causes validation error
- Obfuscated emails (e.g. 'user [at] domain [dot] com') may not be detected
- Very large input strings may time out or be truncated
- Payment failure via x402 results in 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | string |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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