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Machine Shop Batch Normalize Text
x402
Machine Shop Batch Normalize Text is a paid API for AI agents from api.pay-forge.online, paid per call via x402, $0.006/call, status unknown (last checked 2026-10-20).
Normalizes and cleans up to 100 text strings in a single batch call, returning standardized text results.
Price / call$0.006
Success—
StatusUnknown
How this service works
Turn Apify product scrape results into safe catalog updates with Catalog Update Gate. Find evidence in supplied documents, compare snapshots, extract typed JSON fields, inspect x402 quotes and assess API migrations. Preview inputs, evidence and cost for free. No live web search, scheduled monitoring or third-party purchasing.
Output
Returns a JSON array of result objects, each containing a 'text' field with the normalized version of the corresponding input string. The order matches the input array, allowing direct index-based mapping back to the originals.
Example use cases
Cleaning scraped product names
“I scraped 80 product names from various sources and they're all inconsistently formatted — some all caps, some with extra spaces, some with weird punctuation. Can you normalize all of them into clean, consistent text so I can load them into my database?”
Standardizing user-submitted form fields
“We collected 60 free-text entries from a survey form and users typed things very inconsistently. Can you run them all through normalization so we get clean, uniform strings before we analyze the responses?”
Preparing text for document comparison
“I have two sets of extracted text snippets from different document versions — about 40 strings total — and I want to normalize them first so whitespace and casing differences don't throw off my comparison. Can you clean them up?”
Technical details
Endpoint
POSThttps://api.pay-forge.online/v1/batch-normalize-text?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to normalize multiple text strings in a single API call (up to 100 at once), especially when you want cost-efficient batch processing at $0.006 USDC per call rather than single-item normalization. It is particularly useful for pre-processing pipelines, data cleaning before storage or comparison, and standardizing heterogeneous text from scraped or user-submitted sources.
Side effects
- More than 100 items submitted — request rejected due to maxItems constraint
- Non-string items in the array — may cause schema validation errors
- Empty items array — returns empty results array
- Malformed JSON body — returns 400 error
- Payment not provided or insufficient — returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| items | array |
Output
Schema · Response
{
"type": "json",
"example": {
"results": [
{
"text": "Hello world"
},
{
"text": "A"
}
]
}
}Tags
x402
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