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Token Supplied Rule-Flag Fraction — One-Input Sensitivity Table
x402
Token Supplied Rule-Flag Fraction — One-Input Sensitivity Table is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Computes a sensitivity table showing how the fraction of flagged rules changes as one input variable (flagged_rules or evaluated_rules) varies across a range of values, given a baseline configuration.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supplied rule-flag fraction — One-input sensitivity table: One-input sensitivity table for Token supplied rule-flag 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 one-input sensitivity table report.
Output
A bounded one-input sensitivity table report listing the computed token supplied rule-flag fraction for each value in the provided input range, holding all other baseline parameters constant. The output is a deterministic calculation, not a live scan or trade recommendation.
Example use cases
Flag fraction sensitivity sweep for token rules
“I have a token with a baseline of 2 flagged rules out of 10 evaluated rules — can you run a sensitivity table varying flagged_rules across [1, 2, 3, 4, 5] to see how the flag fraction shifts?”
Evaluated rules range impact on flag share
“Show me a one-input sensitivity table for token flag share where I hold flagged_rules at 3 and sweep evaluated_rules through [8, 10, 12, 15, 20] against that baseline.”
Threshold compliance check across rule counts
“My token baseline is 5 flagged rules and 25 evaluated rules — run a sensitivity table varying flagged_rules from 3 to 7 in steps so I can see where the flag fraction crosses key levels.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-flag-share-sensitivity?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, bounded sensitivity analysis of how the token rule-flag fraction responds to changes in a single input variable (either flagged_rules or evaluated_rules), particularly when you want to sweep across a defined range of values against a fixed baseline without requiring a live scan or real-time data feed.
Side effects
- evaluated_rules set to 0 causing division by zero (schema enforces exclusiveMinimum:0)
- values array empty or exceeding 50 items
- flagged_rules or evaluated_rules exceeding maximum bounds
- invalid field enum value (must be 'flagged_rules' or 'evaluated_rules')
- payment failure resulting in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field | string | |
| values | array | |
| baseline | object |
Tags
x402
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