{"uid":"cap_SIbJpCr_rTcXEy6O5GOg4","slug":"kihustle-morphological-stemmer-light-7aef7117","name":"KiHustle Morphological Stemmer Light","description":"Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.","url":"https://kihustle.tech/agents/api/v1/morphological-stemmer-light","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string"}}},"responseSchema":{"type":"json","example":{"result":"processed","status":"success"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_eWieGKSD--UhF3Nj8avib","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Performs lightweight morphological stemming on input text, reducing words to their root/stem forms","exampleAgentPrompt":"Can you stem all the words in this text so I get the root forms: 'Die Kinder spielten gestern im Garten und lachten laut'?","exampleUseCases":[{"title":"NLP pipeline text normalization","prompt":"Before I run my search index, I need to stem this paragraph of German text so different word forms all map to the same root — can you run it through the morphological stemmer: 'Die Unternehmen investierten stark in neue Technologien und Automatisierungslösungen'?"},{"title":"Vocabulary reduction for classification","prompt":"I'm training a text classifier and want to reduce the vocabulary by stemming. Can you stem this batch of words so inflected forms collapse to their base: 'laufend läuft gelaufen laufen'?"},{"title":"Search keyword normalization","prompt":"I want my search engine to match 'Automatisierung', 'automatisiert', and 'automatisieren' to the same root term — can you stem all three words using the morphological stemmer?"}],"resultDescription":"Returns a JSON object with a 'result' field containing the processed/stemmed text and a 'status' field indicating success. The stemmed output reduces words in the input text to their morphological root forms.","failureModes":["Empty or missing 'text' field returns an error or undefined behavior","Extremely long text strings may time out or return partial results","Non-text or binary input may produce malformed output","Service may not support all languages equally — optimized for specific language(s) like German","Generic error response with status 'error' for malformed JSON input"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost stemming step in a text preprocessing pipeline, particularly for German-language content or multilingual NLP workflows. It is well-suited for normalization before search indexing, embedding generation, or text classification where full morphological analysis is unnecessary. At $0.002 per call it is cost-effective for moderate volumes. Prefer heavier NLP libraries or language-specific stemming APIs if you need part-of-speech tagging, lemmatization with context, or support for many languages simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:58:24.280Z","isFirstParty":false}