{"uid":"cap_fEPqTo6Bk2GbNnCNr7ysm","slug":"job-listing-inventories-string-normalisation-exact-row-deduplication-d16b20b2","name":"Job Listing Inventories — String Normalisation & Exact Row Deduplication","description":"Job listing inventories — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied job listing inventories records (listing_count, duplicate_listings). 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-company-13-020?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}}},"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_q2V1nPUOYbKB4kr3haYVO","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 job listing inventory data (listing_count, duplicate_listings) for up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you normalise the strings and remove exact duplicate rows from my job listing inventory data? I have rows with fields like company_group, date, listing_count, and duplicate_listings — here are up to 200 rows I need cleaned and deduplicated, with 2 separate reports back.","exampleUseCases":[{"title":"Deduplicating recruiter job board exports","prompt":"I've pulled a job listing inventory export with company groups like 'group-a' and 'group-b', dates, listing counts, and duplicate listing counts — can you run exact row deduplication and string normalisation on these records and give me 2 reports?"},{"title":"Cleaning multi-source listing aggregation","prompt":"We aggregate job listings from multiple sources and end up with messy, duplicated rows. Can you normalise the string fields and flag exact duplicate rows in this dataset of up to 200 job listing inventory records by company group and date?"},{"title":"Auditing listing counts before dashboard publish","prompt":"Before I publish our recruitment dashboard, I need to validate my job listing inventory data — please normalise all the string fields and identify any exact duplicate rows across these company group entries with their listing_count and duplicate_listings values."}],"resultDescription":"Returns 2 analytical reports: one covering string normalisation results (standardised field values across company_group, date, and other string fields) and one covering exact row deduplication results (identifying which rows among the supplied up to 200 records are exact duplicates based on all field values).","failureModes":["Payload exceeds 200 rows — request rejected with validation error","Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) — row-level error returned","Invalid date format (must match YYYY-MM-DD pattern) — validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minimum 1 item required","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical deduplication and string normalisation specifically for job listing inventory records with listing_count and duplicate_listings fields. It is ideal when you want two independent reports in a single call for up to 200 rows without any live lookup, external data enrichment, or prediction — just deterministic data cleaning and duplicate detection on data you supply.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:40.565Z","isFirstParty":false,"canonicalSlug":"job-listing-inventories-string-normalisation-exact-row-deduplication-d16b20b2"}