{"uid":"cap_PsBQF3y0zZM9JOuMjqOqN","slug":"agentshelf-strip-emoji-text-normalizer-270fe271","name":"AgentShelf Strip-Emoji Text Normalizer","description":"Call when an agent needs text normalized with strip-emoji. No network and no LLM. Exact $0.004 USDC. Prefer unpaid POST /v1/sandbox/norm-strip-emoji first.","url":"https://agentshelf.syntexa.ch/v1/norm-strip-emoji?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","examples":["Hello, World!"],"maxLength":100000,"minLength":1,"description":"Input for this SKU. The route description says whether it is plain text, a URL, base64 bytes, or an already-encoded token."}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.004","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":"$0.004/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_hslVJNt5cyMLymcMeXYgw","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.004","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Removes all emoji characters from a text string, returning clean normalized text without any emoji","exampleAgentPrompt":"Can you strip all the emojis from this text and give me the clean version: 'Great job team! 🎉🚀 We crushed our Q3 targets 💪 — see you at the celebration dinner tonight! 🍕🥂'?","exampleUseCases":[{"title":"Sanitize user-submitted comments","prompt":"I need to clean up this user comment before storing it in our database — strip all the emojis out of it: 'Love this product!!! 😍❤️🔥 Best purchase ever 👌👏'"},{"title":"Normalize chatbot training data","prompt":"Can you remove all emojis from this training sentence so I can add it to our NLP dataset: 'Thanks for your help today 😊🙏 Really appreciated it! 💯'?"},{"title":"Clean social media copy for print","prompt":"I need the emoji-free version of this social media caption for our print newsletter: 'Summer sale is HERE 🌞🛍️ Up to 50% off all items 🏷️💥 Shop now before it's gone 👇'"}],"resultDescription":"The endpoint returns the input text with all emoji characters removed, leaving plain normalized text. The response contains the cleaned string with emoji stripped out but all other characters preserved.","failureModes":["Text exceeds 100,000 character limit — request rejected","Empty string input — rejected due to minLength:1 constraint","Malformed JSON body — 400 bad request","Payment of $0.004 USDC not attached or invalid — 402 Payment Required","Network timeout if service is temporarily unavailable"],"whenToPreferThis":"Choose this endpoint when you need a deterministic, fast, no-LLM approach to stripping emoji from text. It requires no language model inference, runs offline logic only, and costs a fixed $0.004 USDC per call. Prefer this over LLM-based cleaning when you need predictable, exact removal of emoji characters at scale without the variability or cost of a generative model. Note: the description recommends trying an unpaid sandbox endpoint at POST /v1/sandbox/norm-strip-emoji first to verify behavior before incurring charges.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T06:50:08.622Z","isFirstParty":false,"canonicalSlug":"agentshelf-strip-emoji-text-normalizer-270fe271"}