{"uid":"cap_S4yGzrkoifMmOFQXmZdYa","slug":"token-circulating-supply-fraction-sequential-input-change-attribution-a3bf3850","name":"Token Circulating Supply Fraction — Sequential Input-Change Attribution","description":"Token circulating supply fraction — Sequential input-change attribution: Sequential input-change attribution for Token circulating supply fraction. Supplied token observations only. Deterministic calculation or caller-threshold verdict, not a live scan, safety proof or trade recommendation. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded sequential input-change attribution report.","url":"https://market.datapackvibe.com/x402/assistant-bx-token-circulating-waterfall?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"after":{"type":"object","default":{"total_tokens":2200000,"circulating_tokens":1100000},"required":["circulating_tokens","total_tokens"],"properties":{"total_tokens":{"type":"number","default":2000000,"maximum":10000000000000000,"minimum":0,"exclusiveMinimum":0},"circulating_tokens":{"type":"number","default":1000000,"maximum":10000000000000000,"minimum":0}},"additionalProperties":false},"before":{"type":"object","default":{"total_tokens":2000000,"circulating_tokens":1000000},"required":["circulating_tokens","total_tokens"],"properties":{"total_tokens":{"type":"number","default":2000000,"maximum":10000000000000000,"minimum":0,"exclusiveMinimum":0},"circulating_tokens":{"type":"number","default":1000000,"maximum":10000000000000000,"minimum":0}},"additionalProperties":false}}},"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_Ros4oNMm9qMubXM5RgtQf","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":"Computes a sequential input-change attribution (waterfall) report for the token circulating supply fraction metric, given before and after token supply observations.","exampleAgentPrompt":"I had 1,000,000 circulating tokens out of 2,000,000 total before, and now I have 1,100,000 circulating out of 2,200,000 total — can you run a sequential input-change attribution on the circulating supply fraction to show how each input change contributed to the shift?","exampleUseCases":[{"title":"Token unlock event impact analysis","prompt":"Before our token unlock event we had 800,000 circulating out of 2,000,000 total tokens; afterward circulating jumped to 1,200,000 with total unchanged at 2,000,000. Run a sequential attribution waterfall so I can see how the circulating increase drove the fraction change."},{"title":"New token mint effect on supply ratio","prompt":"We just minted 500,000 new tokens, bringing total from 1,000,000 to 1,500,000 while circulating stayed at 600,000. Can you do an input-change attribution on the circulating supply fraction to quantify what the mint did to our ratio?"},{"title":"Protocol treasury burn attribution","prompt":"After burning treasury tokens, our total supply dropped from 5,000,000 to 4,500,000 and circulating went from 2,500,000 to 2,500,000. Give me a sequential input-change attribution for the circulating supply fraction so I can see which input movement mattered most."}],"resultDescription":"A deterministic sequential input-change attribution (waterfall) report for the token circulating supply fraction, showing how changes in each input (circulating_tokens and total_tokens) sequentially contributed to the overall change in the fraction. Includes a bounded attribution breakdown, before and after fraction values, and optionally a caller-threshold verdict. No live market data, no safety proof, no trade recommendation.","failureModes":["Missing required fields (circulating_tokens or total_tokens in before/after objects) returns a validation error","total_tokens of zero or negative triggers exclusiveMinimum constraint violation","Values exceeding 10^16 maximum boundary are rejected","Malformed JSON body returns 400-level error","Payment not included or insufficient USDC results in 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need to deterministically decompose why a token's circulating supply fraction changed between two points in time, attributing each input variable's contribution sequentially. Prefer it over a simple before/after comparison when you need a waterfall-style breakdown showing the marginal contribution of circulating_tokens vs total_tokens changes. Not suitable for live price data, safety audits, or trade signals.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:45:15.227Z","isFirstParty":false,"canonicalSlug":"token-circulating-supply-fraction-sequential-input-change-attribution-a3bf3850"}