{"uid":"cap_yYQ6_I_C6nh_E9jCvDKTq","slug":"satori-aligner-mcp-ab0946a7","name":"Satori Aligner 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/satori-aligner-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_lIVijlUwyHlG9hoPh6U_H","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":"Processes input data through a satori-aligner pipeline, likely performing alignment, calibration, or normalization of agent or model outputs.","exampleAgentPrompt":"Run this response text through the satori aligner to calibrate and normalize it: 'The results show a 42% improvement in task completion across all tested scenarios.'","exampleUseCases":[{"title":"Agent output alignment check","prompt":"Take this agent-generated summary and run it through the satori aligner to make sure it's properly aligned and calibrated before I send it to the client."},{"title":"Normalize raw model response","prompt":"I have this raw output from my language model — can you process it through the satori aligner to normalize it? The text is: 'User satisfaction scores varied significantly across demographic groups.'"},{"title":"Pre-publication data calibration","prompt":"Before I publish this analysis report, please pass the following data string through the satori aligner to apply alignment calibration: 'Q3 revenue projections indicate a 15% growth trajectory assuming stable market conditions.'"}],"resultDescription":"Returns a processed and aligned version of the submitted data string, with alignment or calibration applied by the satori-aligner pipeline. The exact response structure is not documented, but likely includes the transformed output and possibly alignment metadata or a confidence signal.","failureModes":["Empty or missing 'data' field returns validation error","Malformed JSON body results in 400 Bad Request","Payment not attached or insufficient USDC balance triggers 402 Payment Required","Service unavailable or pipeline error returns 500","Oversized input string may be rejected or truncated"],"whenToPreferThis":"Choose this endpoint when you need to apply satori-style alignment or calibration to a data string as part of an agentic pipeline. Prefer it over generic text processing APIs when your workflow specifically requires the satori-aligner normalization step, or when downstream systems expect satori-aligned outputs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:45:53.144Z","isFirstParty":false,"canonicalSlug":"satori-aligner-mcp-ab0946a7"}