{"uid":"cap_FtaAQTRX8SCMAchOIqoz8","slug":"controller-sampling-numeric-distribution-numeric-row-ordering-fb1cb9e5","name":"Controller Sampling — Numeric Distribution + Numeric Row Ordering","description":"Controller sampling — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering for supplied controller sampling records (input_latency_ms, sample_count). 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-game-15-073?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","input_latency_ms","sample_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"game_area":{"type":"string","default":"","maxLength":80},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"input_latency_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","sample_count":1,"input_latency_ms":10},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","sample_count":2,"input_latency_ms":20},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","sample_count":3,"input_latency_ms":15},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","sample_count":4,"input_latency_ms":30}],"maxItems":200,"minItems":1},"field":{"enum":["input_latency_ms","sample_count"],"type":"string","default":"input_latency_ms"}}},"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_jFbrLaVrGPwURRZnICJYx","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":"Analyzes controller sampling data by computing a numeric distribution and numeric row ordering for input_latency_ms or sample_count fields across up to 200 rows.","exampleAgentPrompt":"Can you analyze this batch of controller sampling records and give me both a numeric distribution and a row ordering ranked by input_latency_ms? Here are the rows: row-1 on 2026-10-01 in group-a with input_latency_ms=10 and sample_count=1, row-2 on 2026-10-02 in group-b with input_latency_ms=20 and sample_count=2, row-3 on 2026-10-03 in group-a with input_latency_ms=15 and sample_count=3.","exampleUseCases":[{"title":"Latency distribution across game areas","prompt":"I have 50 controller sampling records across two game areas — can you compute the numeric distribution of input_latency_ms values and rank the rows by that field so I can see which areas have the worst latency?"},{"title":"Sample count ranking for QA review","prompt":"Here are 30 rows of controller sampling data with row IDs, dates, game areas, and sample counts — please give me a numeric distribution and a row ordering ranked by sample_count so I can prioritize which records to review first."},{"title":"Daily latency spread analysis","prompt":"I've got a week's worth of controller sampling logs, about 100 rows, and I want to understand the spread of input latency values — can you produce a distribution report and order all the rows numerically by input_latency_ms?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected field (input_latency_ms or sample_count) showing how values are spread across the supplied rows, and (2) a numeric row ordering that ranks all input rows by the selected field. Analysis is performed locally without external lookups or predictions, covering up to 200 rows.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit and will be rejected","Missing required fields (row_id, game_area, date, input_latency_ms, sample_count) in any row causes validation failure","Invalid date format (not YYYY-MM-DD) causes schema validation error","Invalid field selector value (not 'input_latency_ms' or 'sample_count') causes rejection","Empty rows array or zero rows submitted fails minItems constraint","Payment failure or insufficient USDC balance prevents call completion"],"whenToPreferThis":"Choose this endpoint when you have tabular controller sampling data with input_latency_ms and sample_count fields and need both a distribution summary and a ranked ordering of rows in a single call for $0.01 USDC. It is ideal for offline/batch analysis of up to 200 records without needing live data lookups, predictions, or external integrations. Prefer alternatives if you need more than 200 rows, require category frequency breakdowns, need deduplication, or want daily time-series aggregations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:29.164Z","isFirstParty":false,"canonicalSlug":"controller-sampling-numeric-distribution-numeric-row-ordering-fb1cb9e5"}