PennyRail Base64 Decode

x402

PennyRail Base64 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 a Base64-encoded string and returns the original decoded content

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Machine-readable settlement service

Output

Returns a JSON object containing the decoded output of the provided Base64-encoded input string, restoring the original plain text or binary representation.

Example use cases

Decode base64 API response payload

“I'm getting a base64-encoded payload from another service — can you decode this for me: eyJ1c2VyIjoiYWxpY2UiLCJyb2xlIjoiYWRtaW4ifQ==”

Extract embedded text from encoded token

“This JWT body segment looks base64 encoded — decode dXNlcl9pZD0xMjM0NTY3ODkw so I can read what's inside it.”

Recover readable config from encoded string

“Someone handed me this config string in base64 and I need to read it: aG9zdD1sb2NhbGhvc3Q7cG9ydD01NDMyO2RiPW15ZGF0YWJhc2U= — can you decode it?”

Technical details

Endpoint

POSThttps://pennyrail.vercel.app/api/p/nano/encoding.base64-decode--decode-base64

When to prefer

Choose this endpoint when you need a simple, stateless, pay-per-call Base64 decoding operation without setting up local utilities or libraries — particularly in agent pipelines where a lightweight external utility call is preferable. Useful in x402 micropayment-enabled workflows where billing per transformation is acceptable.

Side effects

Invalid Base64 input string returns an error response
Empty input field causes a validation error
Padding issues in Base64 string may cause decoding failure
Non-string input types rejected by schema validation

Input

Schema · Request body

Field	Type	Description
inputrequired	string

Output

Schema · Response

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

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Example use cases

Decode base64 API response payload

“I'm getting a base64-encoded payload from another service — can you decode this for me: eyJ1c2VyIjoiYWxpY2UiLCJyb2xlIjoiYWRtaW4ifQ==”

Extract embedded text from encoded token

“This JWT body segment looks base64 encoded — decode dXNlcl9pZD0xMjM0NTY3ODkw so I can read what's inside it.”

Recover readable config from encoded string

“Someone handed me this config string in base64 and I need to read it: aG9zdD1sb2NhbGhvc3Q7cG9ydD01NDMyO2RiPW15ZGF0YWJhc2U= — can you decode it?”

Technical details

Endpoint

POSThttps://pennyrail.vercel.app/api/p/nano/encoding.base64-decode--decode-base64

When to prefer

Side effects

Invalid Base64 input string returns an error response
Empty input field causes a validation error
Padding issues in Base64 string may cause decoding failure
Non-string input types rejected by schema validation

Input

Schema · Request body

Field	Type	Description
inputrequired	string

Output

Schema · Response

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