{"uid":"cap_BEXX_z-jgJv9xnKrE6wRy","slug":"semantic-redundancy-pruner-mcp-03e45680","name":"Semantic Redundancy Pruner MCP","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/semantic-redundancy-pruner-mcp/api/process?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Xb-aMYA1ezB9qET0TmFTE","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes and removes semantically redundant content from text, returning a pruned version with duplicate or overlapping meaning eliminated.","exampleAgentPrompt":"Can you prune this paragraph to remove any semantically redundant sentences? Here's the text: 'The project is complete and finished. We achieved our goals and met our objectives. The team worked hard and put in significant effort.'","exampleUseCases":[{"title":"Deduplicating research summary notes","prompt":"I've compiled notes from multiple sources on climate change and there's a lot of repeated information. Can you prune the text to remove semantically redundant sentences so I'm left with only unique content?"},{"title":"Cleaning up AI-generated marketing copy","prompt":"This AI-generated product description keeps repeating itself with similar phrases. Can you remove the semantically redundant parts and give me a tighter, more concise version?"},{"title":"Compressing verbose legal document excerpts","prompt":"I have a long contract clause that says the same thing multiple ways. Can you prune out the semantically redundant sentences so it reads more cleanly without losing any distinct meaning?"}],"resultDescription":"Returns a processed version of the input text with semantically redundant or duplicate content removed, leaving only semantically distinct sentences or phrases.","failureModes":["Empty or missing 'data' field returns an error or empty result","Extremely long inputs may be truncated or time out","Non-text or binary data in the 'data' field may produce unexpected output","If the input has no redundancy, the original text is returned unchanged"],"whenToPreferThis":"Choose this endpoint when you need to automatically detect and remove semantically equivalent or overlapping content from text — especially useful for deduplicating AI-generated content, summarizing multi-source documents, or compressing verbose passages. Prefer it over simple deduplication tools when semantic similarity (not just exact string matching) needs to be detected.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:42:31.329Z","isFirstParty":false,"canonicalSlug":"semantic-redundancy-pruner-mcp-03e45680"}