{"uid":"cap_YaUf34Q_pYCP3ejU0R4xL","slug":"meeting-records-unit-label-consistency-checker-d4d48483","name":"Meeting Records - Unit-Label Consistency Checker","description":"Check meeting segment offset/duration/count units against their declared quantities and repeated metric identities. No guessed conversion, transcript inspection or speech timing validation. Offline typed nonpersonal metadata only. Result retention: 24 hours; minimal receipt metadata: 90 days.","url":"https://www.mahastrategies.com/api/v1/context/meeting-records/unit-label-consistency?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"dataClass":{"enum":["public","synthetic"],"type":"string"},"measurements":{"type":"array","maxItems":32,"minItems":1},"nonpersonalMetadata":{"type":"boolean","const":true}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.012295","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":"$0.012295/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.012295","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.012295","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Z5I14_RIZZvFXkbKtKFpm","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.012295","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Validates that meeting segment offset, duration, and count units match their declared quantities and checks for repeated metric identity conflicts in meeting record metadata.","exampleAgentPrompt":"Check these meeting segment measurements for unit-label consistency — they're synthetic, non-personal metadata — and flag any mismatches between declared units and quantities or any repeated metric identities.","exampleUseCases":[{"title":"Meeting export unit audit","prompt":"I have a batch of meeting segment records with offset and duration fields — all synthetic non-personal metadata — can you check whether the unit labels match the declared quantities and flag any repeated metric IDs?"},{"title":"Segment count unit mismatch detection","prompt":"These meeting records have count and duration declarations I need verified — treat them as public non-personal metadata and tell me if any unit labels are inconsistent with what's declared."},{"title":"Repeated metric identity conflict check","prompt":"Before we publish these meeting segment measurements, can you run a unit-label consistency check on them as synthetic non-personal metadata and surface any repeated metric identities that conflict?"}],"resultDescription":"A validation report indicating whether meeting segment offset, duration, and count unit labels are consistent with their declared quantities, plus a list of any repeated metric identity conflicts found. Results are retained for 24 hours; minimal receipt metadata is kept for 90 days. No transcript content, speech timing, or guessed conversions are included.","failureModes":["Measurements array is empty or exceeds 32 items — returns validation error","dataClass not set to 'public' or 'synthetic' — rejected by schema","nonpersonalMetadata not set to true — request refused","Malformed measurement objects lacking required unit/quantity fields — parsing error","Network timeout for large measurement arrays — no partial result"],"whenToPreferThis":"Use this endpoint when you need a lightweight, offline unit-label consistency check on typed meeting segment metadata (offsets, durations, counts) without any transcript inspection, speech timing analysis, or physical unit conversion. It is ideal for data quality pipelines that need to validate declared units match stated quantities and detect repeated metric identities before downstream processing, using only non-personal metadata.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:46:09.647Z","isFirstParty":false,"canonicalSlug":"meeting-records-unit-label-consistency-checker-d4d48483"}