{"uid":"cap_eQhN4HfoNH-wetSTSi-de","slug":"feed-observations-record-quality-audit-string-normalisation-numeric-bb947121","name":"Feed Observations — Record Quality Audit + String Normalisation + Numeric Interval Filter","description":"Feed observations — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied feed observations records (item_count, duplicate_items). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-web-11-197?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},"field":{"enum":["item_count","duplicate_items"],"type":"string","default":"item_count"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_k-vllV-7j-xjd02A0EKdc","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":"Audits record quality, normalises strings, and filters by numeric interval for up to 200 feed observation rows in a single call, producing 3 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric interval filter on my feed observations data — here are up to 50 rows with row_id, site_group, date, item_count, and duplicate_items — filter on the item_count field between 0 and 100?","exampleUseCases":[{"title":"Feed data quality check before ingestion","prompt":"I have a batch of feed observation rows with item_count and duplicate_items — can you audit their record quality, normalise the site_group strings, and flag any rows where item_count falls outside 5 to 500?"},{"title":"Duplicate rate anomaly investigation","prompt":"Run a quality audit and numeric interval filter on my feed observations, filtering on duplicate_items between 0 and 10, so I can spot rows with suspiciously high duplicate counts before I process them."},{"title":"Pre-reporting data cleaning for site groups","prompt":"Before I build my weekly report, can you normalise the site_group strings and do a record quality audit on these 120 feed observation rows, and also filter item_count between 1 and 1000 to catch any outliers?"}],"resultDescription":"Three independent analytical reports for the supplied feed observation rows: (1) a record quality audit identifying missing, malformed, or invalid fields; (2) a string normalisation report for the site_group field; and (3) a numeric interval filter report showing which rows have the selected field (item_count or duplicate_items) within the specified minimum/maximum range. All processing is local with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — request rejected","Invalid date format (non-YYYY-MM-DD) in any row — validation error","Missing required row fields (row_id, site_group, date, item_count, duplicate_items) — schema error","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Invalid field enum value (must be item_count or duplicate_items) — parameter error","minimum greater than maximum — may produce empty interval filter result"],"whenToPreferThis":"Choose this endpoint when you need a combined record quality audit, string normalisation, and numeric interval filter for feed observation data (item_count, duplicate_items) in a single low-cost call. It is ideal for pre-ingestion data validation pipelines, ad-hoc data cleaning, or quality checks on batches up to 200 rows. Prefer it over general-purpose data tools when you specifically need all three reports together and your data conforms to the feed observations schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:43:14.557Z","isFirstParty":false,"canonicalSlug":"feed-observations-record-quality-audit-string-normalisation-numeric-bb947121"}