{"uid":"cap_wYHZZzSEKP_wYWhv69r98","slug":"community-survey-record-quality-audit-and-numeric-row-ordering-dcecef93","name":"Community Survey Record Quality Audit and Numeric Row Ordering","description":"Community survey — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied community survey records (response_count, invitation_count). 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-news-14-007?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","response_count","invitation_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"response_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"invitation_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","response_count":10,"invitation_count":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","response_count":20,"invitation_count":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","response_count":15,"invitation_count":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","response_count":30,"invitation_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["response_count","invitation_count"],"type":"string","default":"response_count"}}},"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_N5DecF8vVyZYcIx_-3Zfm","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 data quality and applies numeric row ordering to community survey records (response_count, invitation_count) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and numeric row ordering on my community survey data? I have rows with row_id, channel_group, date, response_count, and invitation_count — up to 50 rows — and I want to audit the response_count field.","exampleUseCases":[{"title":"Survey data quality check before reporting","prompt":"I need to audit the quality of my community survey dataset before I present it — can you check these 80 survey rows for data quality issues and also rank them by response_count? Each row has a row_id, channel_group, date, response_count, and invitation_count."},{"title":"Channel group response ranking","prompt":"Can you take my survey records across different channel groups and give me a numeric ordering by invitation_count? I want to see which rows rank highest, plus a quality audit to catch any bad data. I have about 120 rows ready."},{"title":"Monthly survey data validation","prompt":"I've got 200 rows of community survey data from October — each with a date, channel_group, response_count, and invitation_count. Please run a record quality audit and numeric row ordering on the response_count field so I can spot any data problems and see the ranking."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying data issues, missing values, or anomalies in the supplied community survey rows; and (2) a numeric row ordering report ranking the rows by the specified field (response_count or invitation_count). Results are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit","Missing required fields (row_id, channel_group, date, response_count, or invitation_count) in one or more rows","Date fields not matching YYYY-MM-DD pattern — validation error","Invalid field enum value — only response_count or invitation_count accepted","Empty rows array — minItems constraint violated","Numeric values outside allowed range causing schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric ordering/ranking report on community survey records (response_count and invitation_count) in a single call. It is ideal for pre-reporting data validation workflows, survey data hygiene checks, and channel group performance ranking without needing any external data sources or live lookups. Prefer this over generic data tools when your dataset fits within 200 rows and you want two bundled reports at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-01T00:41:01.357Z","isFirstParty":false,"canonicalSlug":"community-survey-record-quality-audit-and-numeric-row-ordering-dcecef93"}