{"uid":"cap_QDu7ybj4s2ivyXHU_CjML","slug":"pennyrail-word-frequency-counter-54c80396","name":"PennyRail Word Frequency Counter","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/nano/text.word-frequency--word-counts","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"string"}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_4lEWeNVnJ0uHD3zVzo4Hm","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Counts the frequency of each word in a given text string, returning word occurrence statistics","exampleAgentPrompt":"Can you count how many times each word appears in this paragraph: 'The quick brown fox jumps over the lazy dog. The dog barked at the fox.'","exampleUseCases":[{"title":"Blog post keyword density check","prompt":"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...'"},{"title":"Customer review term analysis","prompt":"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.'"},{"title":"Detect repeated filler words in writing","prompt":"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.'"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:07:54.233Z","isFirstParty":false}