{"uid":"cap_KvH2QKjxBPkxF1KpikWkz","slug":"social-post-observations-record-quality-audit-string-normalisation-8431e22e","name":"Social Post Observations — Record Quality Audit + String Normalisation + Duplicate Key Report","description":"Social post observations — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied social post observations records (impressions, engagement_count). 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-13-192?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","impressions","engagement_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"impressions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80},"engagement_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","impressions":10,"channel_group":"group-a","engagement_count":1},{"date":"2026-10-02","row_id":"row-2","impressions":20,"channel_group":"group-b","engagement_count":2},{"date":"2026-10-03","row_id":"row-3","impressions":15,"channel_group":"group-a","engagement_count":3},{"date":"2026-10-04","row_id":"row-4","impressions":30,"channel_group":"group-b","engagement_count":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_L1sUP_fduTGX9wTuLLTLL","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 social post observation data (impressions, engagement_count): a record quality audit, string normalisation, and duplicate key detection, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and duplicate key check on my social post observations data? I have up to 50 rows with fields like row_id, channel_group, date, impressions, and engagement_count that I need cleaned and validated.","exampleUseCases":[{"title":"Social media data quality check","prompt":"I've got about 80 rows of social post data with impressions and engagement counts across different channel groups — can you audit the record quality, normalise the string fields, and flag any duplicate row IDs for me?"},{"title":"Pre-analysis deduplication of engagement data","prompt":"Before I run my engagement analysis, I need to check these 120 social post observation records for duplicate keys, string inconsistencies, and overall data quality issues — can you run all three reports on them?"},{"title":"Channel group data validation for reporting","prompt":"We're preparing a report from our social post metrics. Can you validate the quality of these 60 rows of impressions and engagement_count data, normalise any messy channel_group strings, and identify any duplicate row_ids?"}],"resultDescription":"Three independent reports delivered together: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report showing standardised versions of string fields like channel_group; and (3) a duplicate key report identifying rows sharing the same row_id. No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["Exceeding 200 rows returns an error; trim input to ≤200 rows","Missing required fields (row_id, channel_group, date, impressions, engagement_count) cause validation rejection","Malformed date strings not matching YYYY-MM-DD pattern may trigger schema errors","Empty rows array (minItems:1 not met) results in a schema validation failure","Payment of 0.01 USDC not provided or rejected halts the request"],"whenToPreferThis":"Choose this endpoint when you need three data quality operations (quality audit, string normalisation, duplicate key detection) bundled together on social post observation data in a single low-cost call ($0.01 USDC), without requiring any external lookups, live data, or predictions. Ideal for pre-processing social media analytics datasets before aggregation or reporting, especially when working with up to 200 rows of impressions and engagement data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:29.256Z","isFirstParty":false,"canonicalSlug":"social-post-observations-record-quality-audit-string-normalisation-8431e22e"}