{"uid":"cap_tJsuBDLgUK7kfO4j64JN4","slug":"token-supply-snapshots-string-normalisation-two-measure-correlation-a7ca1d45","name":"Token Supply Snapshots — String Normalisation + Two-Measure Correlation","description":"Token supply snapshots — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-11-033?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}}},"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_14ZJDzGVRDLFsKYBs8GRm","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":"Normalises token supply snapshot data and computes correlation between circulating_units and total_units across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have a batch of token supply snapshots — rows with date, instrument group, circulating units, and total units — can you normalize the strings and compute the correlation between circulating_units and total_units across all the rows?","exampleUseCases":[{"title":"Crypto token supply correlation audit","prompt":"I have daily token supply records for Bitcoin and Ethereum going back 30 days with circulating and total units — can you normalize the instrument names and tell me how correlated the circulating vs total supply figures are across both groups?"},{"title":"DeFi protocol supply consistency check","prompt":"Here are 120 rows of supply snapshots for a DeFi protocol with instrument_group labels that need cleaning — run string normalization on them and give me a correlation report between circulating_units and total_units."},{"title":"Multi-token treasury analytics","prompt":"I'm tracking supply data for five tokens across the last quarter, each row has a date, a group label, and both circulating and total unit counts — normalize the group strings and calculate the two-measure correlation between the supply metrics for me."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report covering the instrument_group and other string fields across submitted rows, and (2) a correlation report quantifying the statistical relationship between circulating_units and total_units. No external data is fetched; all analysis is performed locally on the supplied rows (up to 200).","failureModes":["Fewer than 1 or more than 200 rows submitted — schema validation error","Missing required fields (row_id, date, circulating_units, total_units) — rejection with field error","Date field not matching YYYY-MM-DD pattern — validation failure","Numeric values outside ±1,000,000,000,000 range — schema rejection","Payment not completed via x402 protocol — no response returned"],"whenToPreferThis":"Choose this endpoint when you have pre-assembled token supply snapshot records (circulating_units and total_units per instrument group and date) and need both string normalisation of categorical fields and a correlation analysis between the two numeric supply measures in a single low-cost call. It is ideal for batch offline analysis up to 200 rows without requiring live market data, predictions, or external lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:36.225Z","isFirstParty":false,"canonicalSlug":"token-supply-snapshots-string-normalisation-two-measure-correlation-a7ca1d45"}