PennyRail HTML Entity Decode

x402

PennyRail HTML Entity Decode is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).

Decodes HTML entities in a text string, converting encoded characters like &, <, and   back to their plain-text equivalents

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Machine-readable settlement service

Output

Returns a JSON object containing the decoded text string with all HTML entities converted to their corresponding Unicode or ASCII characters (e.g. & → &, < → <,   → non-breaking space).

Example use cases

Clean scraped web content

“I scraped some product descriptions from a website and they're full of HTML entities like &amp; and <br> — can you decode all those entities so I get clean, readable text?”

Fix email template encoding

“My email template got double-encoded somewhere and now has things like &mdash; and &copy; all over it — can you decode the HTML entities so it reads properly again?”

Normalize API response text

“The API I'm calling returns item descriptions with HTML entities like “ and ” instead of real quote marks — can you decode those entities into normal characters?”

Technical details

Endpoint

POSThttps://pennyrail.vercel.app/api/p/nano/text.html-entities--html-entity-decode

When to prefer

Use this endpoint when you need a reliable, pay-per-use HTML entity decoding service without deploying your own text-processing infrastructure — especially useful in agent pipelines processing scraped web content, sanitizing API responses, or cleaning user-generated HTML-encoded data at scale.

Side effects

Missing or malformed input object returns a validation error
Non-string input value may cause unexpected output or error
Payment failure (402) if USDC not provided or insufficient
Malformed HTML entities in input may be left unchanged or cause partial decoding
Empty string input returns empty string with no error

Input

Schema · Request body

Field	Type	Description
inputrequired	object

Output

Schema · Response

{
  "type": "object",
  "additionalProperties": true
}

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Example use cases

Clean scraped web content

“I scraped some product descriptions from a website and they're full of HTML entities like &amp; and <br> — can you decode all those entities so I get clean, readable text?”

Fix email template encoding

“My email template got double-encoded somewhere and now has things like &mdash; and &copy; all over it — can you decode the HTML entities so it reads properly again?”

Normalize API response text

“The API I'm calling returns item descriptions with HTML entities like “ and ” instead of real quote marks — can you decode those entities into normal characters?”

Technical details

Endpoint

POSThttps://pennyrail.vercel.app/api/p/nano/text.html-entities--html-entity-decode

When to prefer

Side effects

Missing or malformed input object returns a validation error
Non-string input value may cause unexpected output or error
Payment failure (402) if USDC not provided or insufficient
Malformed HTML entities in input may be left unchanged or cause partial decoding
Empty string input returns empty string with no error

Input

Schema · Request body

Field	Type	Description
inputrequired	object

Output

Schema · Response

{
  "type": "object",
  "additionalProperties": true
}