{"uid":"cap_ZIrat-2qWi1KM3mjcBH6X","slug":"coordinate-quality-checks-record-audit-string-normalisation-grouped-b044aa4f","name":"Coordinate Quality Checks — Record Audit, String Normalisation & Grouped Numeric Summary","description":"Coordinate quality checks — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied coordinate quality checks records (checked_points, flagged_points). 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-weather-23-194?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","checked_points","flagged_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"checked_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","checked_points":10,"flagged_points":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","checked_points":20,"flagged_points":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","checked_points":15,"flagged_points":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","checked_points":30,"flagged_points":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_points","flagged_points"],"type":"string","default":"checked_points"}}},"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__DhUX7AJWLYa2BXXkrnN2","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, grouped numeric summary) on up to 200 rows of coordinate quality check data (checked_points, flagged_points).","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and grouped numeric summary on my coordinate check records? I have 4 rows of station data — group-a on 2026-10-01 with 10 checked_points and 1 flagged_points, group-b on 2026-10-02 with 20 checked_points and 2 flagged_points, group-a on 2026-10-03 with 15 checked and 3 flagged, and group-b on 2026-10-04 with 30 checked and 4 flagged — use checked_points as the main field.","exampleUseCases":[{"title":"Station network coordinate QA audit","prompt":"I have 50 rows of coordinate quality check results across several station groups with dates, checked_points, and flagged_points — can you run a record quality audit and string normalisation on the station_group names, plus give me a grouped numeric summary using flagged_points as the key field?"},{"title":"Flagged point anomaly investigation","prompt":"I want to find data quality problems in my coordinate monitoring dataset — run an audit and grouped summary on these 30 rows of checked and flagged point counts by station group, using flagged_points as the analysis field."},{"title":"Grouped summary for QA reporting","prompt":"Can you produce a grouped numeric summary and quality audit for my coordinate QA records? I have readings from group-alpha and group-beta across 10 dates, with checked_points and flagged_points for each — I need the three standard reports so I can include them in my quality report."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit identifying missing, malformed, or out-of-range values across the supplied rows; (2) a string normalisation report cleaning and standardising station_group and other string fields; (3) a grouped numeric summary aggregating the selected numeric field (checked_points or flagged_points) by station_group. All computed locally with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds row limit, request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, station_group, date, checked_points, flagged_points) — schema validation failure","checked_points or flagged_points outside allowed numeric range — rejected","Invalid field enum value — must be 'checked_points' or 'flagged_points'","Payment of 0.01 USDC not completed — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need three coordinated data-quality reports (audit, string normalisation, grouped numeric summary) on a batch of up to 200 coordinate quality check records in a single low-cost call. Prefer it over general-purpose analytics when your data specifically has station_group, date, checked_points, and flagged_points fields and you want all three report types bundled for $0.01. Not suitable for live coordinate lookups, map rendering, prediction, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:22.643Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-record-audit-string-normalisation-grouped-b044aa4f"}