{"uid":"cap_SpObxEY1PrOyhiI68I718","slug":"token-supply-snapshots-category-frequencies-explicit-missing-value-fill-5c73f08e","name":"Token Supply Snapshots — Category Frequencies + Explicit Missing-Value Fill","description":"Token supply snapshots — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill for supplied token supply snapshots records (circulating_units, total_units). 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-finance-11-112?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","circulating_units","total_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"circulating_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_units":1,"instrument_group":"group-a","circulating_units":10},{"date":"2026-10-02","row_id":"row-2","total_units":2,"instrument_group":"group-b","circulating_units":20},{"date":"2026-10-03","row_id":"row-3","total_units":3,"instrument_group":"group-a","circulating_units":15},{"date":"2026-10-04","row_id":"row-4","total_units":4,"instrument_group":"group-b","circulating_units":30}],"maxItems":200,"minItems":1},"field":{"enum":["circulating_units","total_units"],"type":"string","default":"circulating_units"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_GTF5HxTBI8Tq43DSvoq0s","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 token supply snapshot records to produce category frequency distributions and fills missing values in circulating_units or total_units fields using zero, mean, or median imputation.","exampleAgentPrompt":"I have up to 200 rows of token supply snapshots with instrument_group, date, circulating_units, and total_units — can you run category frequency analysis on the instrument groups and fill any missing circulating_units values using median imputation?","exampleUseCases":[{"title":"Audit token group distributions in snapshot data","prompt":"I have a batch of 150 token supply snapshot records with instrument groups like 'BTC-layer1' and 'ETH-layer2' — can you count how frequently each group appears and fill in any missing circulating_units using the median?"},{"title":"Zero-fill missing total supply figures","prompt":"My token supply dataset has about 80 rows and some total_units values are null — please run the category frequency report on the instrument groups and fill the missing total_units with zeros."},{"title":"Mean imputation for circulating units in DeFi data","prompt":"I've got 200 rows of DeFi token snapshots grouped by instrument and I need to know the category breakdown plus get the missing circulating_units replaced with the mean value across all rows."}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how often each instrument_group value appears across the supplied rows, and (2) an explicit missing-value fill report where null entries in the selected field (circulating_units or total_units) are replaced using the chosen method (zero, mean, or median). Results are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows supplied — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 range — schema rejection","Missing required fields (row_id, instrument_group, date) — request rejected","Invalid enum value for field or method — schema validation error","Payment not processed or insufficient USDC — x402 payment failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 token supply snapshot records and need both a group-level frequency distribution and missing-value imputation in a single low-cost call. It is ideal for lightweight, offline analytical passes on pre-collected crypto token supply data without needing a live data feed, external enrichment, or prediction — purely local computation on supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:49.499Z","isFirstParty":false,"canonicalSlug":"token-supply-snapshots-category-frequencies-explicit-missing-value-fill-5c73f08e"}