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PennyRail Word Frequency Counter
x402
PennyRail Word Frequency Counter is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Counts the frequency of each word in a given text string, returning word occurrence statistics
Price / call$0.001
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
An object mapping each unique word (lowercased or as tokenized) to its integer occurrence count within the input text. The response structure is open-ended but typically returns key-value pairs of word strings to frequency numbers.
Example use cases
Blog post keyword density check
“Take this draft blog post and tell me which words I'm using most frequently so I can see if I'm overusing certain terms: 'Content marketing is about creating content that drives content engagement...'”
Customer review term analysis
“Count how many times each word shows up in this batch of customer feedback: 'Great product great service great value, but the shipping was slow and the packaging was damaged.'”
Detect repeated filler words in writing
“Analyze this essay excerpt and count each word so I can identify which filler words I'm overusing: 'Basically, the thing is that basically we need to basically reconsider our approach to the thing.'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/nano/text.word-frequency--word-countsWhen to prefer
Use this endpoint when you need a lightweight, pay-per-call word frequency computation without standing up your own NLP pipeline. It is ideal for spot-checking word distribution in short to medium text passages. Prefer this over building custom tokenizers when you need quick, disposable word count results for content auditing, SEO keyword checks, or writing quality reviews.
Side effects
- Empty or missing 'input' field returns a validation error
- Extremely long text strings may hit payload size or processing limits
- Non-string input types will fail schema validation
- Payment failure (402) if USDC balance is insufficient
- Response schema is open-ended, so field names may vary across versions
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | string |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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