{"uid":"cap_8i5HJha2BD-uQY6gaYttT","slug":"water-monitoring-string-normalisation-40f0d1f8","name":"Water Monitoring String Normalisation","description":"Water monitoring - String normalisation: String normalisation for Water monitoring. 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 string normalisation deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-water-monitoring-normalise?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site","date","litres","cost"],"properties":{"cost":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"site":{"type":"string","default":"","maxLength":80},"litres":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1}},"additionalProperties":false},"default":[{"cost":1,"date":"2026-10-01","site":"group-a","litres":10,"row_id":"row-1"},{"cost":2,"date":"2026-10-02","site":"group-b","litres":20,"row_id":"row-2"},{"cost":3,"date":"2026-10-03","site":"group-a","litres":15,"row_id":"row-3"},{"cost":4,"date":"2026-10-04","site":"group-b","litres":30,"row_id":"row-4"}],"maxItems":200,"minItems":1}}},"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_cTAid3Ckwm0DnmqBfdRvS","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":"Normalises site names, dates, and other string fields in water monitoring records (up to 200 rows) for local data-quality processing.","exampleAgentPrompt":"Can you normalise these water monitoring records for me? I have 4 rows with site names like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, litres values of 10, 20, 15, and 30, and costs of 1, 2, 3, and 4 — please clean and standardise the string fields.","exampleUseCases":[{"title":"Cleaning messy site name labels","prompt":"I've got 50 water monitoring records where the site names are inconsistent — things like 'Site A', 'site-a', 'SITE A' all mixed together. Can you run string normalisation on them so they're all in a consistent format? Each row has a row_id, site, date, litres, and cost."},{"title":"Standardising dates before pipeline ingestion","prompt":"Before I push these 120 water usage records into our data pipeline, can you normalise the string and date fields? The dates need to be in YYYY-MM-DD format and the site names need to be cleaned up — I have row IDs, sites, litres, and costs for each row."},{"title":"Data quality pass on multi-site water data","prompt":"We collected water monitoring data from 3 sites over the past month — about 180 rows total — and the string fields are a mess with mixed casing and formatting. Can you run a normalisation pass on them so all the site names and dates are consistent?"}],"resultDescription":"A normalised set of up to 200 water monitoring records with cleaned and standardised string fields (site names, dates), along with any data-quality indicators derived from local processing. No external enrichment is applied.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, site, date, litres, cost) causes record rejection","Dates not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside ±1,000,000,000,000 bounds are rejected","Empty row arrays return a bad-request error","Payment failure (x402) blocks the request entirely"],"whenToPreferThis":"Choose this endpoint when you have water monitoring tabular data (up to 200 rows) that needs local string normalisation and data-quality cleanup without any external enrichment, forecasting, or third-party lookups. It is best suited for pre-processing pipelines where consistent site names and date formats are required before downstream analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:38.195Z","isFirstParty":false,"canonicalSlug":"water-monitoring-string-normalisation-40f0d1f8"}