{"uid":"cap_oAHYqVXE4KvZ-_9g3aqiv","slug":"editorial-turnaround-data-quality-suite-record-audit-string-ff6eccff","name":"Editorial Turnaround Data Quality Suite — Record Audit + String Normalisation + Equal-Width Histogram","description":"Editorial turnaround — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied editorial turnaround records (draft_hours, review_hours). 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-news-15-202?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","draft_hours","review_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"draft_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"review_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","draft_hours":10,"review_hours":1,"channel_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","draft_hours":20,"review_hours":2,"channel_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","draft_hours":15,"review_hours":3,"channel_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","draft_hours":30,"review_hours":4,"channel_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["draft_hours","review_hours"],"type":"string","default":"draft_hours"}}},"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_a4nGYLfeDvQNiKWk8pmp6","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 editorial turnaround data (draft_hours, review_hours): a record quality audit, string normalisation, and an equal-width histogram — all locally, with no external calls.","exampleAgentPrompt":"Run a record quality audit, string normalisation, and a 5-bin equal-width histogram on draft_hours for these editorial turnaround records: row-1 (group-a, 2026-10-01, draft 10h, review 1h), row-2 (group-b, 2026-10-02, draft 20h, review 2h), row-3 (group-a, 2026-10-03, draft 15h, review 3h).","exampleUseCases":[{"title":"News desk pipeline quality check","prompt":"I have 50 editorial turnaround records from our news desk — can you run a full quality audit on them, normalise the channel group strings, and give me a 10-bin histogram of draft_hours so I can see where time is clustering?"},{"title":"Review hours distribution analysis","prompt":"Audit these 120 editorial records for data quality issues, normalise any inconsistent string values, and generate an equal-width histogram with 8 bins for review_hours — I want to understand how review time is distributed across my editorial team."},{"title":"Editorial data cleansing before reporting","prompt":"Before I send this editorial turnaround dataset to my editor-in-chief, can you check it for record quality problems, fix up the string fields, and show me a 5-bin histogram of draft_hours so I can spot any outliers?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging issues like nulls, out-of-range values, and malformed fields across up to 200 rows; (2) normalised string values for text fields such as channel_group; (3) an equal-width histogram for the selected numeric field (draft_hours or review_hours) with the configured number of bins and their counts/boundaries.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","bins value outside 1–30 range returns a schema validation error","Missing required fields (row_id, channel_group, date, draft_hours, review_hours) cause row-level errors","Non-numeric values in draft_hours or review_hours (where null not intended) may degrade histogram output","Payment of 0.01 USDC not fulfilled via x402 protocol results in 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) batch analytical pass over editorial turnaround records — specifically when you want all three of quality auditing, string normalisation, and histogram distribution in a single call with no external data dependencies. Ideal for newsroom data pipelines, editorial ops dashboards, or pre-reporting data validation workflows involving draft and review timing data up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:43.279Z","isFirstParty":false,"canonicalSlug":"editorial-turnaround-data-quality-suite-record-audit-string-ff6eccff"}