{"uid":"cap_ytv9A07aWcYc9ABz-ETgP","slug":"pennyrail-batch-text-json-transform-utility-f7988eba","name":"PennyRail Batch Text & JSON Transform Utility","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/standard/batch.utility--batch-text-json-transforms?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"object"}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_mgfCy91M-extzJ52vlbuK","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Applies batch text and JSON transformations to a submitted input object, returning the transformed results.","exampleAgentPrompt":"Can you run a batch text and JSON transform on this payload for me — I need to pass in my input object and get back the processed, restructured results?","exampleUseCases":[{"title":"Normalize API response fields","prompt":"I have a bunch of raw JSON records from our data pipeline that need field names normalized and text values trimmed — can you run them through a batch JSON transform so they're consistent before we store them?"},{"title":"Bulk reformat nested JSON structures","prompt":"I've got a nested JSON object with mixed text and data fields that needs to be restructured into a flat format — can you batch transform it so every value is at the top level?"},{"title":"Clean and convert text fields in JSON","prompt":"These customer records have messy text in several fields — can you batch-process the JSON and apply text transforms to clean up whitespace, fix casing, and standardize the values across the whole object?"}],"resultDescription":"Returns a JSON object containing the transformed output of the submitted input, with additional properties reflecting the results of the applied text and JSON batch transformations.","failureModes":["Missing required 'input' field returns a validation error","Malformed JSON in the request body causes a parse error","Unsupported or ambiguous transformation targets may return partial or empty results","Payment not settled via x402 protocol results in a 402 Payment Required response","Overly large input payloads may cause timeouts or truncated results"],"whenToPreferThis":"Choose this endpoint when you need to apply multiple text and JSON transformations to a payload in a single call, particularly in automated pipelines where batch efficiency matters. It is well-suited for agentic workflows that need to normalize, reformat, or convert structured data without spinning up dedicated transformation infrastructure. Prefer this over single-record transform endpoints when processing collections or compound objects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:38:17.637Z","isFirstParty":false,"canonicalSlug":"pennyrail-batch-text-json-transform-utility-f7988eba"}