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Source Packs - Declared-Bound Token Audit
x402
Source Packs - Declared-Bound Token Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010094/call, status unknown (last checked 2026-10-15).
Validates caller-declared token counts against per-source and total pack token ceilings without executing tokenization or packing
Price / call$0.010094
Success—
StatusUnknown
How this service works
Compare caller-declared token counts with per-source and total pack token ceilings. No tokenizer, packing execution or claim that all required evidence fits. Offline typed nonpersonal metadata only. Result retention: 24 hours; minimal receipt metadata: 90 days.
Output
Returns a comparison of each caller-declared source token count against the per-source ceiling and a comparison of the total declared tokens against the pack ceiling, identifying which sources or the aggregate exceed bounds. Includes a minimal receipt with metadata retained for 90 days; full result retained for 24 hours. No tokenization is executed; only declared values are compared.
Example use cases
LLM context budget pre-check
“Before I assemble my RAG context pack, check that my 12 public sources with declared counts don't exceed a per-source ceiling of 15000 tokens and a total pack ceiling of 120000 tokens.”
Synthetic dataset token compliance audit
“I have 5 synthetic data sources I want to pack — can you audit whether my declared token counts stay within a 10000-token-per-source limit and a 40000-token total pack ceiling?”
Multi-source token ceiling validation for pipeline
“Audit my declared token counts for 20 public sources: each source should stay under 25000 tokens and the whole pack shouldn't exceed 200000 tokens total — flag any violations.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/context/source-packs/declared-bound-audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, offline check that caller-declared token counts are within ceiling bounds before committing to context packing — without running a tokenizer or actually assembling the pack. Prefer this over full packing pipelines when you only need a budget pre-flight check on nonpersonal public or synthetic metadata. Ideal for pipeline validation steps that need a cheap, deterministic bound audit with an audit receipt.
Side effects
- Sources array empty or exceeds 32 items — request rejected
- maximumPackTokens or maximumSourceTokens out of range (0–1,000,000) — validation error
- dataClass not one of 'public' or 'synthetic' — schema rejection
- nonpersonalMetadata not explicitly set to true — request rejected
- Malformed source entries — parsing error returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| sources | array | |
| dataClass | string | |
| maximumPackTokens | integer | |
| maximumSourceTokens | integer | |
| nonpersonalMetadata | boolean |
Tags
x402
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