{"uid":"cap_A805JPOdT04kY-Uu_2Atq","slug":"job-listing-inventories-record-quality-audit-string-normalisation-4ad2747b","name":"Job Listing Inventories — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Job listing inventories — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied job listing inventories records (listing_count, duplicate_listings). 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-13-205?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","listing_count","duplicate_listings"],"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},"listing_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duplicate_listings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","listing_count":10,"duplicate_listings":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","listing_count":20,"duplicate_listings":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","listing_count":15,"duplicate_listings":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","listing_count":30,"duplicate_listings":4}],"maxItems":200,"minItems":1},"field":{"enum":["listing_count","duplicate_listings"],"type":"string","default":"listing_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_wu-Q6bxdyo2zqdBtGZIYn","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 analytical reports on job listing inventory data: record quality audit, string normalisation, and secondary-measure weighted mean for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and weighted mean report on my job listing inventory data? I have rows for group-a and group-b from 2026-10-01 through 2026-10-04 with listing_count values of 10, 20, 15, and 30 and duplicate_listings of 1, 2, 3, and 4 — use listing_count as the primary field.","exampleUseCases":[{"title":"Auditing recruiter job listing data quality","prompt":"I have a CSV of job listing counts and duplicate listings across multiple company groups over the past week — can you run a quality audit and string normalisation on it so I can spot bad records before we import it into our dashboard?"},{"title":"Weighted mean for duplicate listing analysis","prompt":"I need the secondary-measure weighted mean for duplicate_listings across these four company groups for October — here are the rows with listing_count and duplicate_listings values. Can you run that report?"},{"title":"Cleaning job inventory export before reporting","prompt":"We pulled a job inventory export with listing_count and duplicate_listings for group-a and group-b and there are some messy string fields. Can you normalise the strings and give me a quality audit so we know what's usable before the Monday report?"}],"resultDescription":"Three independent analytical reports returned in a single response: (1) a record quality audit flagging anomalies or missing values in the supplied rows, (2) string normalisation results for text fields such as company_group, and (3) a secondary-measure weighted mean computed over the selected numeric field (listing_count or duplicate_listings). All computed locally from the supplied data — no external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit and will be rejected","Missing required fields (row_id, date, company_group) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside the allowed range cause rejection","Empty rows array returns an error","Invalid field enum value (not listing_count or duplicate_listings) causes failure"],"whenToPreferThis":"Choose this endpoint when you need three combined analytical operations — quality audit, string normalisation, and weighted mean — on job listing inventory data in a single low-cost call. It is best when you have up to 200 rows of listing_count and duplicate_listings data per company group and want batch local analysis without external dependencies or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:13.091Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-record-quality-audit-string-normalisation-4ad2747b"}