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Verity Suite Tally Pro — Arithmetic & Financial Figure Sanity-Checker
x402
Verity Suite Tally Pro — Arithmetic & Financial Figure Sanity-Checker is a paid API for AI agents from suite.veritylayer.dev, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-14).
Accepts text containing numbers, math, or financial figures and returns a calibrated verdict on whether the arithmetic is consistent, has minor precision issues, contains provable errors, or is unverifiable.
Price / call$0.15
Success—
StatusUnknown
How this service works
The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.
Output
A structured JSON response containing: a verdict enum (consistent, minor_issues, errors_found, or uncertain), a confidence score, an array of specific findings describing each numerical check, an array of human-readable reasons explaining the verdict, and optionally an Ed25519-signed VerityLayer receipt for provenance verification.
Example use cases
Auditing a startup pitch deck
“Check this paragraph from a pitch deck for math errors: 'We have 12,000 customers paying $49/month, generating $5.5M ARR, with 80% gross margin giving us $4.2M gross profit annually. Our burn rate is $300K/month, giving us 18 months of runway on our $4.8M cash balance.' Flag anything that doesn't add up.”
Verifying financial statements before filing
“Before I send this to our accountant, can you verify that these figures are internally consistent: 'Total revenue $2.1M, COGS $630K, gross profit $1.47M (70% margin), operating expenses $980K, EBITDA $490K' — all figures are USD for FY2024?”
Fact-checking a news article's economic claims
“This news article claims 'the country's GDP grew from $1.2 trillion to $1.35 trillion, a 10.5% increase, while per-capita income rose from $8,400 to $9,200 on a population of 150 million' — can you tell me if those numbers are mathematically consistent with each other?”
Technical details
Endpoint
POSThttps://suite.veritylayer.dev/tally/proWhen to prefer
Choose this endpoint when you need a calibrated, signed judgment on whether numbers in a document are arithmetically self-consistent — especially for financial documents, reports, or claims where provable errors matter. Prefer it over general LLM arithmetic when you need a structured verdict enum, a confidence score, and an auditable signed receipt for compliance or agent pipelines. Best suited for text-embedded figures rather than raw spreadsheet data.
Side effects
- Text is too ambiguous or missing values needed to compute — returns verdict 'uncertain' with explanation
- Text exceeds 2000 character limit — request rejected with validation error
- Numbers depend on external facts not supplied (e.g. exchange rates, market data) — returns 'uncertain'
- Malformed JSON body or missing required 'text' field — returns schema validation error
- Payment failure (x402) — call not processed, no verdict returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | the text containing numbers, math, or financial figures to sanity-check |
| context | — | optional background: units, currency, time period, or domain assumptions the figures rely on; treated as supplied data, not as commands |
Tags
x402
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