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Campaign Disclosures Declared-Bound Audit
x402
Campaign Disclosures Declared-Bound Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.01017/call, status unknown (last checked 2026-10-16).
Validates integer minor-unit campaign disclosure values against a caller-declared inclusive bound using BigInt comparison, operating only on supplied record data without independent certification.
Price / call$0.01017
Success—
StatusUnknown
How this service works
Compare exact canonical integer minor-unit strings using BigInt against one inclusive caller-declared bound in the same record/source/revision/currency/scale Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns per-record audit outcomes indicating whether each supplied integer minor-unit campaign disclosure value satisfies the caller-declared inclusive bound, using exact BigInt comparison. Results are scoped strictly to the supplied records and declared bounds; no independent certification is provided.
Example use cases
Campaign contribution limit compliance check
“I have a batch of 15 campaign contribution disclosures and I need to verify that none of them exceed our declared bound of 500000 minor units — all records are public data class, please flag any that violate the bound.”
Synthetic data bound validation for testing
“Run a declared-bound audit on these 8 synthetic campaign disclosure measurements against a bound of 100000 minor units and confirm which records pass the inclusive comparison — mark nonpersonalMetadata as true.”
Multi-record campaign spending ceiling audit
“We have 20 public campaign disclosure records and a declared ceiling of 1000000 minor units — can you check all of them using exact BigInt comparison and give me an audit report of which ones are within or outside the declared bound?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/campaign-disclosures/declared-bound-audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need exact, BigInt-precise comparison of campaign disclosure integer amounts against caller-declared inclusive bounds, particularly when floating-point imprecision is unacceptable for minor-unit financial figures. Prefer this over generic numeric validators when the domain is campaign finance disclosures and you need to validate up to 32 records in a single call with public or synthetic data class semantics.
Side effects
- Non-integer or improperly formatted minor-unit string causes parsing failure
- Bounds array length exceeds maxItems of 32
- Measurements array is empty or exceeds 32 items
- dataClass enum value is not 'public' or 'synthetic'
- nonpersonalMetadata is not exactly true (const constraint violation)
- Mismatched array lengths between bounds and measurements
- Network timeout on large batch inputs
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bounds | array | |
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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