{"uid":"cap_N1SRdaXRKJbiFyX7hs2cb","slug":"energy-meter-imports-trimmed-typed-conversion-f639f14c","name":"Energy Meter Imports — Trimmed Typed Conversion","description":"Energy meter imports — Trimmed typed conversion: Trimmed typed conversion for Energy meter imports. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV trimmed typed conversion report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-energy-normalise?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"reading_id,observed_on,meter_id,consumed_kwh,cost_amount\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3","maxLength":100000,"minLength":1},"maximum":{"type":"number","default":1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":-1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"delimiter":{"enum":[",",";","\t"],"type":"string","default":","},"max_cell_length":{"type":"integer","default":1000,"maximum":5000,"minimum":1},"allowed_categories":{"type":"array","items":{"type":"string","default":"","maxLength":100,"minLength":1},"default":["group-a","group-b"],"maxItems":100,"minItems":0}}},"responseSchema":null,"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_jSCxU94U4fw3I6sXQLXSW","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":"Validates and converts a CSV table of energy meter import records (up to 1000 rows) into a trimmed, typed report with category filtering and numeric range checks.","exampleAgentPrompt":"Can you validate and normalize my energy meter import CSV — it has columns reading_id, observed_on, meter_id, consumed_kwh, and cost_amount, comma-delimited, with allowed categories group-a and group-b, and numeric values should be between 0 and 1000000?","exampleUseCases":[{"title":"Energy billing CSV quality check","prompt":"I've got a CSV file of energy meter readings with columns reading_id, observed_on, meter_id, consumed_kwh, and cost_amount — can you run it through the trimmed typed conversion check using comma as delimiter, allowing only categories group-a and group-b, and flag anything outside the range 0 to 500000?"},{"title":"Meter data import pre-validation","prompt":"Before we import these energy meter records into our system, can you validate this CSV for type correctness and trim any whitespace? It's comma-separated, up to 800 rows, allowed meter groups are site-1 and site-2, and consumed_kwh should never exceed 9999."},{"title":"Multi-site utility data normalization","prompt":"We have monthly energy readings from three meter groups — alpha, beta, gamma — in a semicolon-delimited CSV. Can you normalize and type-check it, keeping numeric values between -1000000000000 and 1000000000000, and give me a trimmed typed conversion report?"}],"resultDescription":"A trimmed typed conversion report covering up to 1000 CSV rows, with whitespace-trimmed and type-coerced cell values, category validation against the allowed list, numeric range enforcement, and row-level validation results indicating which records passed or failed.","failureModes":["CSV exceeds 100,000 character limit — request rejected","More than 1000 rows submitted — validation may be truncated or rejected","Invalid delimiter not in allowed set (',', ';', tab) — parse error","Cell length exceeds max_cell_length — flagged as invalid","Numeric value outside specified minimum/maximum bounds — flagged rows","Category values not in allowed_categories list — flagged rows","Malformed CSV with unmatched quotes — parse error"],"whenToPreferThis":"Choose this endpoint when you need fast, in-process validation and typed normalization of energy meter CSV data (up to 1000 rows) without any external enrichment or data egress. It is purpose-built for the energy meter import schema (reading_id, observed_on, meter_id, consumed_kwh, cost_amount) with support for category whitelisting and numeric range constraints. Prefer it over generic CSV validators when you need a domain-specific trimmed typed conversion report at low cost ($0.01 per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:12:02.507Z","isFirstParty":false,"canonicalSlug":"energy-meter-imports-trimmed-typed-conversion-f639f14c"}