{"uid":"cap_WN9iVWLy_U2Dciapo7hKr","slug":"energy-readings-base-100-index-series-2342968d","name":"Energy Readings Base-100 Index Series","description":"Energy readings - Base-100 series: Base-100 series for Energy readings. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded base-100 series deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-energy-readings-index?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","meter","date","kwh","cost"],"properties":{"kwh":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"cost":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"meter":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1}},"additionalProperties":false},"default":[{"kwh":10,"cost":1,"date":"2026-10-01","meter":"group-a","row_id":"row-1"},{"kwh":20,"cost":2,"date":"2026-10-02","meter":"group-b","row_id":"row-2"},{"kwh":15,"cost":3,"date":"2026-10-03","meter":"group-a","row_id":"row-3"},{"kwh":30,"cost":4,"date":"2026-10-04","meter":"group-b","row_id":"row-4"}],"maxItems":200,"minItems":1},"field":{"enum":["kwh","cost"],"type":"string","default":"kwh"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_3Gx52X7FpwQ-YOsi4Tw6G","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":"Computes a base-100 indexed series from up to 200 energy meter records (kWh or cost), normalizing all values relative to a chosen base row.","exampleAgentPrompt":"I have 4 daily energy meter readings — meter group-a read 10 kWh on 2026-10-01, group-b read 20 kWh on 2026-10-02, group-a read 15 kWh on 2026-10-03, and group-b read 30 kWh on 2026-10-04 — can you generate a base-100 index series using the first row as the baseline and the kWh field?","exampleUseCases":[{"title":"Monthly consumption trend indexing","prompt":"I have daily kWh readings for two meters across October — can you index them all to a base of 100 starting from the first reading so I can compare how usage grew relative to day one?"},{"title":"Cost benchmarking across meter groups","prompt":"I've got cost records for meters A and B over the past week; please create a base-100 cost index using the cost field with row 0 as the baseline so I can see how spending evolved relative to the start."},{"title":"Energy audit baseline normalization","prompt":"I'm running an energy audit and need to normalize 50 meter readings to a common base-100 index using the kWh field — the baseline should be row index 10 which represents our pre-retrofit reference point."}],"resultDescription":"Returns a base-100 indexed series for each supplied energy record, where the value at the chosen base_index row is set to 100 and all other values are scaled proportionally. Includes local data-quality processing flags per record. No external enrichment or forecasting is applied.","failureModes":["Input array is empty or exceeds 200 rows — validation error","base_index references a row position outside the supplied array bounds","Base row value is zero or null, making division undefined — arithmetic error or null result","Date strings do not match YYYY-MM-DD pattern — schema validation failure","kWh or cost values exceed allowed numeric bounds — rejected input","field enum value is not 'kwh' or 'cost' — schema error"],"whenToPreferThis":"Choose this endpoint when you need a local, deterministic base-100 normalization of energy meter records (kWh or cost) without any external API calls, forecasting, or enrichment. It is ideal for benchmarking consumption or cost trends relative to a specific reference row across up to 200 records. Prefer it over general analytics services when you want a lightweight, bounded, reproducible index computation at low cost ($0.01 USDC per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:43.663Z","isFirstParty":false,"canonicalSlug":"energy-readings-base-100-index-series-2342968d"}