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Decision Record Word Frequency Analyzer
x402
Decision Record Word Frequency Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Counts and ranks word frequencies in a decision record document (Markdown or plain text, up to 20,000 characters) using deterministic processing.
Price / call$0.01
Success—
StatusUnknown
How this service works
Decision record - Word frequencies: Word frequencies for Decision record. 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 word frequencies deliverable.
Output
A deterministic word frequency deliverable listing each word found in the supplied decision record text along with its occurrence count, ranked or tabulated so the agent can identify the most and least common terms in the document.
Example use cases
ADR vocabulary audit before publishing
“I've written an architecture decision record and want to see which words I'm overusing before I share it with the team — can you count the word frequencies in this document: '## Context
We need a consistent approach to API versioning.
## Decision
We will use URL path versioning for all public APIs.
## Consequences
Existing clients must update their integration paths.'”
Consistency check across decision record sections
“Can you analyze the word frequencies in my decision record to see if the language is consistent across the Context, Decision, and Consequences sections? Here's the text: '## Context
Legacy database causing performance issues.
## Decision
Migrate to PostgreSQL.
## Consequences
Development team needs PostgreSQL training and migration scripts.'”
Term repetition review in compliance decision log
“I need to check for overused or repeated terms in this compliance decision record — run a word frequency count on it: '## Context
Regulatory audit requires data retention policies.
## Decision
Retain all user data logs for seven years.
## Consequences
Storage costs will increase and data purge workflows must be updated.'”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-writing-decision-record-word-frequency?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, reproducible word frequency counts specifically for decision record documents (ADRs, design decision logs) formatted in Markdown or plain text. Prefer this over general NLP APIs when you need a lightweight, pay-per-use analysis with no generative AI involvement, ensuring consistent results across repeated calls on the same input.
Side effects
- Text exceeds 20,000 character limit — request will be rejected or truncated
- Empty or missing text field — no frequencies returned
- Non-text binary content submitted — processing failure
- Payment not provided or insufficient — 402 response requiring 0.01 USDC
- Malformed JSON request body — 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Tags
x402
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