{"uid":"cap_3b7pZbl5s7q6aZDn1w5CV","slug":"pennyrail-html-entities-converter-e36ddd9b","name":"PennyRail HTML Entities Converter","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/nano/text.html-entities--html-entities","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"object"}}},"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_kBCr88eQCXbVqtZHcFNSu","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":"Converts text containing HTML entities to decoded plain text (or vice versa) via a paid micro-settlement API","exampleAgentPrompt":"Can you decode the HTML entities in this string for me: 'Caf&eacute; &amp; Bistro &mdash; great food &lt;3' and give me back the plain readable text?","exampleUseCases":[{"title":"Decode scraped HTML entity text","prompt":"I scraped some product descriptions from a website and they're full of HTML entities like &amp;, &lt;, &quot; and &eacute; — can you run them through the HTML entities converter to get back clean readable text?"},{"title":"Encode user content for HTML display","prompt":"I need to safely embed this user-submitted comment into an HTML page — can you encode all the special characters like <, >, &, and quotes as HTML entities so it won't break the markup?"},{"title":"Fix entity-garbled API response","prompt":"The API I'm calling returns product names with garbled HTML entities like 'Tom&apos;s Caf&eacute;' — can you decode those entities so I get the proper human-readable names back?"}],"resultDescription":"A JSON object containing the converted text with HTML entities either decoded to their Unicode/plain-text equivalents or encoded from raw characters into HTML entity syntax, depending on the direction of conversion requested.","failureModes":["Missing or malformed 'input' object returns a 4xx error","Payment not included or insufficient USDC causes 402 Payment Required response","Invalid or non-text input type may return an error or empty result","Network timeout on the Vercel serverless function under cold start conditions","Ambiguous conversion direction if the API requires explicit mode selection but none is provided"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, pay-per-use HTML entity encoding or decoding operation without standing up your own text-processing infrastructure. It is well-suited for AI agent pipelines that occasionally encounter HTML-encoded text in scraped content, API responses, or user-submitted data and need it normalized to plain text. At $0.001 USDC per call it is cost-effective for low-to-moderate volume single-string conversions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T07:21:41.122Z","isFirstParty":false}