{"uid":"cap_7Qb5eL2jWnUO-KuLMsdVo","slug":"token-assessment-evidence-coverage-sequential-input-change-attribution-8043621e","name":"Token Assessment Evidence Coverage — Sequential Input-Change Attribution","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-bx-token-evidence-coverage-waterfall?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"after":{"type":"object","default":{"observed_fields":8.8,"requested_fields":11},"required":["observed_fields","requested_fields"],"properties":{"observed_fields":{"type":"number","default":8,"maximum":10000000000000000,"minimum":0},"requested_fields":{"type":"number","default":10,"maximum":10000000000000000,"minimum":0,"exclusiveMinimum":0}},"additionalProperties":false},"before":{"type":"object","default":{"observed_fields":8,"requested_fields":10},"required":["observed_fields","requested_fields"],"properties":{"observed_fields":{"type":"number","default":8,"maximum":10000000000000000,"minimum":0},"requested_fields":{"type":"number","default":10,"maximum":10000000000000000,"minimum":0,"exclusiveMinimum":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_0XFzrBmGfywyQmVgd84Ln","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 report comparing before/after evidence coverage ratios for token assessment observed versus requested fields.","exampleAgentPrompt":"Can you run a sequential input-change attribution for token evidence coverage — before the change I had 8 observed fields out of 10 requested, and after the change it's 8.8 observed out of 11 requested?","exampleUseCases":[{"title":"Audit token data completeness after enrichment","prompt":"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?"},{"title":"Measure coverage regression after schema update","prompt":"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?"},{"title":"Validate coverage improvement for compliance review","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:57:00.140Z","isFirstParty":false,"canonicalSlug":"token-assessment-evidence-coverage-sequential-input-change-attribution-8043621e"}