{"uid":"cap_AVethdMWhol3NwrCbH1Rl","slug":"agentshelf-syntexa-ch-spaces-to-tabs-normalizer-ba797f97","name":"agentshelf.syntexa.ch Spaces-to-Tabs Normalizer","description":"Call when an agent needs text normalized with spaces-to-tabs. No network and no LLM. Exact $0.008 USDC. Prefer unpaid POST /v1/sandbox/norm-spaces-to-tabs first.","url":"https://agentshelf.syntexa.ch/v1/norm-spaces-to-tabs?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":"0.008","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":"$0.008/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.008","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.008","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_tYgnkdAaI4RYcp9VNRk2u","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.008","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Converts all space characters in text to tab characters, returning normalized text with no network dependencies or LLM processing.","exampleAgentPrompt":"Can you normalize this text by converting all spaces to tabs: '    function hello() {\\n        return true;\\n    }'?","exampleUseCases":[{"title":"Code indentation style conversion","prompt":"I have this Python snippet that uses 4-space indentation but my project requires tabs — can you convert all the spaces to tabs? Here's the code: '    def greet():\\n        print(\"hello\")'"},{"title":"Config file tab normalization","prompt":"This config file was authored with spaces but our parser expects tab-separated values — please replace every space with a tab character in this text: 'key1 value1\\nkey2 value2'"},{"title":"Makefile whitespace fix","prompt":"Makefiles require tabs for recipe lines and someone accidentally used spaces throughout this one — convert all spaces to tabs for me: '    clean:\\n        rm -rf build'"}],"resultDescription":"The endpoint returns the input text with every space character replaced by a tab character. The response is the normalized string, processed locally without any network calls or LLM involvement, making it deterministic and fast.","failureModes":["Empty or missing 'text' field returns a validation error","Text exceeding 100,000 characters is rejected with a length error","Payment failure (insufficient USDC balance) results in a 402 Payment Required response","Malformed JSON body returns a 400 Bad Request"],"whenToPreferThis":"Choose this endpoint when you need a guaranteed, deterministic, no-LLM conversion of spaces to tabs in text up to 100,000 characters. It is ideal for code formatting pipelines, config file normalization, or any workflow requiring exact whitespace substitution without probabilistic output. If the free sandbox endpoint POST /v1/sandbox/norm-spaces-to-tabs is available, prefer that first to avoid the $0.008 USDC charge.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T06:50:02.332Z","isFirstParty":false,"canonicalSlug":"agentshelf-syntexa-ch-spaces-to-tabs-normalizer-ba797f97"}