{"uid":"cap_oxgAb8Lr3o6eNkoGPUvuR","slug":"feed-observations-string-normalisation-exact-row-deduplication-82c4c92f","name":"Feed Observations — String Normalisation + Exact Row Deduplication","description":"Feed observations — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied feed observations records (item_count, duplicate_items). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-web-11-020?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","item_count","duplicate_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"item_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"site_group":{"type":"string","default":"","maxLength":80},"duplicate_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","item_count":10,"site_group":"group-a","duplicate_items":1},{"date":"2026-10-02","row_id":"row-2","item_count":20,"site_group":"group-b","duplicate_items":2},{"date":"2026-10-03","row_id":"row-3","item_count":15,"site_group":"group-a","duplicate_items":3},{"date":"2026-10-04","row_id":"row-4","item_count":30,"site_group":"group-b","duplicate_items":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_VidnRwQvLCYKlqzOTUfOg","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 strings and identifies exact duplicate rows in feed observation records (item_count, duplicate_items) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you run string normalisation and exact row deduplication on these feed observation records — I have 4 rows with site groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, item counts of 10, 20, 15, 30, and duplicate_items of 1, 2, 3, 4? I need both the normalisation and dedup reports.","exampleUseCases":[{"title":"Pre-ingestion feed data cleanup","prompt":"Before I load these feed observations into our pipeline, can you normalise the string fields and flag any exact duplicate rows? I've got 50 rows with site_group, date, item_count, and duplicate_items fields that need cleaning."},{"title":"Daily feed quality audit","prompt":"Run a string normalisation and exact deduplication check on today's feed observation export — it has about 120 rows across several site groups with dates in October 2026, and I want to see both reports to catch any dirty or repeated records."},{"title":"Investigating duplicate items in feed report","prompt":"I suspect some rows in our feed observation dataset are exact duplicates — can you run the deduplication analysis on these 80 rows and also normalise the site_group strings so we have clean, consistent values in the output?"}],"resultDescription":"Returns 2 independent analytical reports: (1) a string normalisation report detailing how text fields (e.g. site_group) were standardised, and (2) an exact row deduplication report identifying which rows among the submitted records are exact duplicates, covering up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error — batch must be split","Missing required fields (row_id, site_group, date, item_count, duplicate_items) causes rejection","Malformed date strings not matching YYYY-MM-DD pattern fail schema validation","Empty rows array (minItems:1 violated) returns an error","Numeric values outside the allowed range cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and exact duplicate detection on feed observation records in a single low-cost call ($0.01 USDC). It is purpose-built for feed data with item_count and duplicate_items fields, operates locally without external lookups, and is ideal for pre-ingestion data quality checks or periodic feed audits on datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:07.947Z","isFirstParty":false,"canonicalSlug":"feed-observations-string-normalisation-exact-row-deduplication-82c4c92f"}