{"uid":"cap_WwU7_BLeyGRIa9GolCmK8","slug":"market-survey-observations-record-quality-audit-string-normalisation-885ce0e6","name":"Market Survey Observations — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Market survey observations — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied market survey observations records (respondent_count, sample_weight). 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-company-06-198?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","respondent_count","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"respondent_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","sample_weight":1,"respondent_count":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","sample_weight":2,"respondent_count":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","sample_weight":3,"respondent_count":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","sample_weight":4,"respondent_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["respondent_count","sample_weight"],"type":"string","default":"respondent_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_IMJHFr_IFiMqL5lBeZX6i","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":"Runs three local analytical reports on market survey observation rows: a record quality audit, string normalisation, and a daily sum series for respondent_count or sample_weight fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and daily sum series on these market survey observation rows — I have respondent_count and sample_weight fields per company group and date, and I want to use respondent_count as the target field?","exampleUseCases":[{"title":"Survey data quality check before reporting","prompt":"I have up to 150 rows of market survey observations with respondent_count, sample_weight, company_group, and date — can you run a full quality audit on them and flag any bad records before I hand them off to the analyst team?"},{"title":"Daily respondent totals by group","prompt":"Take these market survey observation records grouped by company and date and give me a daily sum series for the respondent_count field so I can see how total respondents accumulate day by day."},{"title":"Normalise messy company group strings in survey export","prompt":"My market survey export has inconsistent company_group labels across rows — can you run string normalisation on the data so the group names are cleaned up and standardised?"}],"resultDescription":"Three independent reports returned together: (1) a record quality audit flagging issues per row, (2) normalised string values for string fields, and (3) a daily sum series for the selected numeric field (respondent_count or sample_weight), all computed locally from the supplied rows without external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, company_group) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern mismatch","Numeric values outside allowed range (-1e12 to 1e12) rejected","Invalid field enum value (not respondent_count or sample_weight) causes error","Empty rows array rejected by minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have up to 200 market survey observation rows and need all three analytical reports (quality audit, string normalisation, daily sum series) in a single low-cost call. It is purely local computation with no external lookups or predictions, making it deterministic and fast. Prefer it over separate per-report endpoints when you want a bundled 3-in-1 analysis at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:42:51.891Z","isFirstParty":false,"canonicalSlug":"market-survey-observations-record-quality-audit-string-normalisation-885ce0e6"}