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Token Assessment Evidence Coverage — Sequential Input-Change Attribution
x402
Token Assessment Evidence Coverage — 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 report comparing before/after evidence coverage ratios for token assessment observed versus requested fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token assessment evidence coverage — Sequential input-change attribution: Sequential input-change attribution for Token assessment evidence coverage. 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 report showing how evidence coverage (observed_fields / requested_fields ratio) changed between the before and after snapshots, including attributed delta values and a caller-threshold verdict. The report is bounded, not a live scan or trade recommendation.
Example use cases
Audit token data completeness after enrichment
“Before our data enrichment pipeline ran, we had 6 observed fields out of 12 requested for this token assessment. After it ran, we now have 9 observed out of 12 requested. Can you run the sequential input-change attribution to show how evidence coverage shifted?”
Measure coverage regression after schema update
“We updated our token schema and I'm worried evidence coverage dropped — before the update we had 10 observed out of 10 requested, and after it's only 7 observed out of 14 requested. Can you do a waterfall attribution report on that change?”
Validate coverage improvement for compliance review
“For our compliance report, I need to show that token evidence coverage improved: we went from 5 observed fields out of 8 requested to 7.5 observed out of 9 requested. Can you run the before-and-after sequential attribution so we have the documented delta?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-evidence-coverage-waterfall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, cheap ($0.01 USDC) before/after comparison of token evidence coverage using the sequential waterfall attribution method. It is purpose-built for token assessment contexts where you have two snapshots of observed vs requested field counts and need an attributed delta report, rather than a live scan, a batch operation, or a trade signal.
Side effects
- requested_fields cannot be zero or negative (exclusiveMinimum enforced) — will return validation error
- observed_fields exceeding maximum bound (1e16) will be rejected
- missing required 'before' or 'after' sub-objects will cause schema validation failure
- payment not included or underpaid will result in 402 Payment Required response
- malformed JSON body will return 400 Bad Request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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