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agentshelf.syntexa.ch Text Dash Normalizer
x402
agentshelf.syntexa.ch Text Dash Normalizer is a paid API for AI agents from agentshelf.syntexa.ch, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-29).
Normalizes text by replacing or standardizing dashes without any network calls or LLM processing
Price / call$0.003
Success—
StatusUnknown
How this service works
Call when an agent needs text normalized with dashes. No network and no LLM. Exact $0.003 USDC. Prefer unpaid POST /v1/sandbox/norm-dashes first.
Output
Returns the input text with dashes normalized to a consistent form. No external network calls are made and no LLM is involved, so the transformation is deterministic and fast.
Example use cases
Normalize dashes in article text
“I have this article draft with mixed em dashes, en dashes, and hyphens everywhere — can you normalize all the dashes so they're uniform before I publish it?”
Clean up CSV data field
“This field in my CSV has all kinds of dashes in it — some are em dashes, some are hyphens — can you normalize the dashes so the data is consistent?”
Preprocess text for NLP pipeline
“Before I run analysis on this document, I need to standardize all the dash characters in it — can you normalize the dashes in this paragraph: 'Sales grew 10–15% year-over-year — exceeding expectations'?”
Technical details
Endpoint
POSThttps://agentshelf.syntexa.ch/v1/norm-dashes?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need fast, deterministic, offline dash normalization without any AI or network dependency. It costs $0.003 USDC per call but a free sandbox endpoint (POST /v1/sandbox/norm-dashes) should be preferred first if available. Best suited for preprocessing pipelines where consistent dash characters are required before further text processing.
Side effects
- Empty or missing text field returns a validation error
- Text exceeding 100,000 characters is rejected
- Malformed JSON request body returns a 400 error
- Payment failure (x402) if the $0.003 USDC payment is not correctly attached
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Input for this SKU. The route description says whether it is plain text, a URL, base64 bytes, or an already-encoded token. |
Tags
x402
Reviews
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