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Technical Design Number-Token Inventory
x402
Technical Design Number-Token Inventory is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Counts and inventories number-tokens (numeric values, dates, quantities, measurements) within a technical design document up to 20,000 characters.
Price / call$0.01
Success—
StatusUnknown
How this service works
Technical design - Number-token inventory: Number-token inventory for Technical design. Supplied Markdown or plain text, up to 20,000 characters. Deterministic processing and document templates; no generative prose or fact checking. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded number-token inventory deliverable.
Output
A bounded, deterministic inventory of all number-tokens found in the submitted technical design text — including counts, dates, version numbers, measurements, and other numeric values — delivered as a structured deliverable without generative prose or fact-checking.
Example use cases
Audit numbers in architecture spec
“Go through this architecture markdown and give me a full inventory of every number, date, and quantity mentioned — I want to know exactly what numeric commitments are in the document.”
Count numeric tokens in interface docs
“I have an interfaces specification in markdown — can you extract and list all the number-tokens so I can review them before sign-off?”
Review trade-offs document for numeric claims
“Here's my trade-offs section in plain text, up to a few thousand characters — please inventory all the numeric values and dates so I can double-check them against our requirements.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-writing-technical-design-number-inventory?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, reproducible count and catalog of all numeric tokens in a technical design document. It is purpose-built for technical design documents (architecture, interfaces, trade-offs sections) and processes Markdown or plain text up to 20,000 characters. Prefer it over general-purpose NLP tools when you need a bounded, consistent output without generative hallucination risk.
Side effects
- Input text exceeds 20,000 character limit — request rejected
- Empty or missing text field — no tokens to inventory
- Non-technical or non-numeric text yields empty inventory
- Malformed markdown may cause parsing inconsistencies
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Tags
x402
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