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PennyRail SHA-256 Text Hashing
x402
PennyRail SHA-256 Text Hashing 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).
Computes the SHA-256 cryptographic hash of a given input string, returning the hex digest
Price / call$0.001
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
Returns a JSON object containing the SHA-256 hex digest of the submitted input string. The response schema is open (additionalProperties: true), so the hash output is likely in a named field within the returned object.
Example use cases
Verify file content fingerprint
“Can you SHA-256 hash this string for me — 'user:alice:password123' — so I can compare it against the stored hash in our database?”
Generate deterministic ID from text
“Take this product description and compute its SHA-256 hash so I can use it as a stable, deduplication key: 'Organic fair-trade Arabica coffee beans, 500g bag'.”
Audit log entry signing
“I need a SHA-256 digest of this audit log line to store alongside it for integrity checking: '2024-06-01T12:00:00Z user=bob action=delete resource=report-42'.”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/nano/crypto.sha256--hash-textWhen to prefer
Choose this endpoint when you need a quick, pay-per-call SHA-256 hash of a text string without standing up your own infrastructure, especially in agentic workflows that already use x402 micropayment rails. It is ideal for one-off hashing tasks inside automated pipelines. Prefer a local crypto library if latency is critical or if you are hashing high volumes of strings where per-call cost would add up.
Side effects
- Missing 'input' field returns a validation error
- Empty string input may return a hash of empty string (valid SHA-256 behavior) or an error depending on service policy
- Network or payment failure (402 not settled) prevents execution
- Oversized input strings may be rejected depending on server limits
- Malformed JSON body returns a 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | string |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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