{"uid":"cap_7W-bRdnYvdHUfN7lmG-0Z","slug":"source-attribution-record-quality-audit-string-normalisation-grouped-9d6e1680","name":"Source Attribution — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Source attribution — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied source attribution records (cited_sources, verified_links). 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-02-194?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","cited_sources","verified_links"],"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},"cited_sources":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"verified_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","cited_sources":10,"verified_links":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","cited_sources":20,"verified_links":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","cited_sources":15,"verified_links":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","cited_sources":30,"verified_links":4}],"maxItems":200,"minItems":1},"field":{"enum":["cited_sources","verified_links"],"type":"string","default":"cited_sources"}}},"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_TifwLVxnf79Wh2JkDTsjB","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 (record quality audit, string normalisation, and grouped numeric summary) on up to 200 source attribution rows containing cited_sources and verified_links fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and grouped numeric summary on my source attribution data? Here are 4 rows — row-1 through row-4 with channel groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, cited_sources values of 10, 20, 15, 30, and verified_links values of 1, 2, 3, 4 — please analyse the cited_sources field.","exampleUseCases":[{"title":"News desk citation quality check","prompt":"I have 50 rows of news source attribution data with row IDs, dates, channel groups, and counts of cited_sources and verified_links — can you run a record quality audit plus string normalisation on the channel_group labels and give me a grouped numeric summary of cited_sources across those channel groups?"},{"title":"Verified links anomaly detection by group","prompt":"Run a record quality audit and grouped numeric summary on these 120 source attribution records — I want to see if verified_links counts look healthy across each channel_group, and flag any normalisation issues in the string fields."},{"title":"Monthly attribution data cleanup","prompt":"Here are 200 rows of monthly source attribution records with dates, row IDs, channel groups, and cited_sources and verified_links numbers — please audit the record quality, normalise the string fields, and give me a grouped numeric breakdown of the verified_links field."}],"resultDescription":"Three analytical reports for the submitted source attribution rows: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report cleaning channel_group and other string fields; and (3) a grouped numeric summary (e.g. counts, totals, averages) of the selected numeric field (cited_sources or verified_links) broken down by channel_group. All processing is local with no external lookups.","failureModes":["Fewer than 1 row submitted — minItems validation error","More than 200 rows submitted — maxItems validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation error","cited_sources or verified_links values outside ±1,000,000,000,000 range — schema rejection","Invalid field enum value (not 'cited_sources' or 'verified_links') — schema rejection","Missing required fields (row_id, channel_group, date) on any row — validation error"],"whenToPreferThis":"Choose this endpoint when you need three bundled offline analytical reports (quality audit, string normalisation, grouped numeric summary) on source attribution data in a single low-cost call. It is ideal when you have up to 200 rows with cited_sources and verified_links fields and do not need live data lookups, predictions, or external enrichment. It is more cost-effective than calling separate data quality, normalisation, and aggregation services individually.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:44.810Z","isFirstParty":false,"canonicalSlug":"source-attribution-record-quality-audit-string-normalisation-grouped-9d6e1680"}