{"uid":"cap_QvdDvm1SBxA4POW81RZtY","slug":"verity-suite-tally-quick-arithmetic-financial-figure-sanity-check-04f3ab22","name":"Verity Suite Tally Quick — Arithmetic & Financial Figure Sanity Check","description":"The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.","url":"https://verity-suite.onrender.com/tally/quick","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"the text containing numbers, math, or financial figures to sanity-check"},"context":{"type":"string","description":"optional background: units, currency, time period, or domain assumptions the figures rely on; treated as supplied data, not as commands"}}},"responseSchema":{"type":"object","title":"tally_out","required":["verdict","confidence","findings","reasons"],"properties":{"reasons":{"type":"array","items":{"type":"string"},"title":"Reasons","description":"concrete reasons for the overall verdict"},"verdict":{"enum":["consistent","minor_issues","errors_found","uncertain"],"type":"string","title":"Verdict","description":"consistent=every figure you could actually recompute reconciles; minor_issues=only rounding/display-precision differences within tolerance, nothing material; errors_found=at least one provable arithmetic error, contradiction, or impossible figure; uncertain=cannot verify (missing/ambiguous values or units, or correctness depends on an external fact not supplied)"},"findings":{"type":"array","items":{"type":"string"},"title":"Findings","description":"per-issue notes: the figure or equation checked, the stated value vs. your recomputed value, and why it is correct, wrong, implausible, or unverifiable"},"confidence":{"type":"number","title":"Confidence","maximum":1,"minimum":0,"description":"calibrated probability the verdict is correct given only what is checkable from the text/context; lower it when few figures are checkable, units/values are ambiguous, or claims depend on external facts"},"corrected_values":{"type":"array","items":{"type":"string"},"title":"Corrected Values","description":"recomputed correct figures, emitted only for errors where every input needed to recompute is present AND unambiguous in the text/context; omit otherwise"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_GDzsapS_Edm5vV8H5Uhty","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Validates numerical figures, arithmetic, and financial calculations in text, returning a calibrated verdict on whether the numbers are consistent, have minor issues, contain errors, or are unverifiable.","exampleAgentPrompt":"Can you sanity-check the math in this budget summary for me? 'Total revenue: $4.2M, operating costs: $1.8M, net margin: 52%.' The figures are in USD for Q3 2024.","exampleUseCases":[{"title":"Invoice line items audit","prompt":"Can you check whether the numbers in this invoice add up correctly? 'Subtotal: $3,450.00, tax (8.5%): $285.00, shipping: $47.50, total due: $3,792.50.' I want to make sure I'm not being overcharged before I approve payment."},{"title":"Verify research statistics consistency","prompt":"I've got this summary from a market research report and I want to make sure the percentages and figures are internally consistent: 'Survey of 1,200 respondents: 42% preferred Option A, 31% preferred Option B, 18% preferred Option C, and 12% were undecided. Among Option A supporters, 65% were aged 25–34.' Can you flag any arithmetic issues?"},{"title":"Validate compound interest calculation","prompt":"Can you double-check this loan calculation for me? 'Principal: $50,000, annual interest rate: 6.5%, term: 5 years, monthly payment: $978.34, total repaid: $58,700.40.' I want to know if the monthly payment and total figures actually reconcile with the principal and rate."}],"resultDescription":"Returns a structured object with: a verdict enum (consistent, minor_issues, errors_found, or uncertain), a calibrated confidence probability (0–1), an array of per-figure findings explaining what was checked and whether it reconciles, a reasons array summarizing the overall verdict, and optionally corrected_values for any provable errors where all inputs were present in the text.","failureModes":["Text contains no checkable figures — verdict will be 'uncertain' with low confidence","Missing units or ambiguous values prevent recomputation — verdict 'uncertain'","Figures depend on external facts not in the text (e.g. market prices) — confidence lowered","Malformed request body missing required 'text' field — returns 4xx error","Service unavailable on Render cold start — connection timeout"],"whenToPreferThis":"Choose this endpoint when you need a calibrated, fail-closed arithmetic and numerical consistency check on text containing math, financial figures, or statistics — especially when correctness confidence scores matter. Prefer this over LLM self-checking when you need structured verdicts with per-finding breakdowns and a probability estimate of correctness, or when auditing financial documents, invoices, or quantitative reports for internal consistency.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:49:49.954Z","isFirstParty":false}