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Token Circulating Supply Fraction — Sequential Input-Change Attribution
x402
Token Circulating Supply Fraction — Sequential Input-Change Attribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes a sequential input-change attribution (waterfall) report for the token circulating supply fraction metric, given before and after token supply observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Token unlock event impact analysis
“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.”
New token mint effect on supply ratio
“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?”
Protocol treasury burn attribution
“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.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-circulating-waterfall?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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