{"uid":"cap_z4hi7sSdxf_BesuA0wyzG","slug":"token-dictionary-encoder-mcp-d7e5dc23","name":"Token Dictionary Encoder 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/token-dictionary-encoder-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":"0.15","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":"$0.15/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.15","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.15","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_zIOe8g5A3uBeT37lP2Y1a","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.15","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Encodes input data using a token dictionary encoding scheme, mapping text or structured data to tokenized dictionary representations","exampleAgentPrompt":"Can you encode this text string using the token dictionary encoder: 'The quick brown fox jumps over the lazy dog'?","exampleUseCases":[{"title":"Preprocessing text for LLM pipelines","prompt":"I need to tokenize this paragraph before feeding it into my model pipeline — can you run it through the token dictionary encoder: 'Customer satisfaction is our top priority and we strive to deliver excellence daily.'"},{"title":"Encoding structured labels for classification","prompt":"Encode this category label string 'product_returns_damaged_goods_q3_2024' using the token dictionary encoder so I can use it as a consistent key in my classification system."},{"title":"Normalizing API payloads to token format","prompt":"Take this raw event description and encode it into token dictionary format for me: 'UserLoginFailed_MaxAttemptsExceeded_IPBlock_triggered'"}],"resultDescription":"Returns a token-dictionary-encoded representation of the submitted string data, mapping the input to a structured set of tokens or dictionary identifiers suitable for downstream NLP or data processing tasks.","failureModes":["Empty or missing 'data' field returns a validation error","Malformed or non-string input may cause a processing failure","Excessively long strings may exceed processing limits and return a payload size error","Service unavailability may result in a 402 or 5xx error requiring retry"],"whenToPreferThis":"Choose this endpoint when you need to convert raw string data into a token-dictionary encoded format as part of an NLP preprocessing pipeline, token-based indexing system, or any workflow requiring consistent dictionary-based tokenization. Prefer it over general-purpose tokenizers when a dictionary-bound token mapping is specifically required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T12:51:11.606Z","isFirstParty":false,"canonicalSlug":"token-dictionary-encoder-mcp-d7e5dc23"}