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Meeting Notes Word Frequency Analyzer
x402
Meeting Notes 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 2026-10-18).
Computes word frequency counts from meeting notes provided as Markdown or plain text (up to 20,000 characters)
Price / call$0.01
Success—
StatusUnknown
How this service works
Meeting notes - Word frequencies: Word frequencies for Meeting notes. 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 structured deliverable containing word frequency counts for all tokens found in the supplied meeting notes text — listing each word alongside how many times it appears, deterministically computed without generative or AI-inferred content.
Example use cases
Post-meeting term frequency review
“Here are the notes from today's all-hands meeting — can you count how often each word appears so I can see which topics dominated the discussion? [paste notes here]”
Recurring agenda topic detection
“I have markdown notes from our last sprint retrospective. Run a word frequency analysis so I can see which concerns or action items kept coming up throughout the meeting.”
Meeting notes vocabulary audit
“Can you analyze word frequencies in these project kickoff meeting notes? I want to identify the most commonly used terms to see if we're focusing on the right things.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-writing-meeting-notes-word-frequency?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, reproducible word frequency counts from meeting notes in Markdown or plain text format, and you want a bounded, low-cost ($0.01 USDC) analysis without generative AI interpretation or summarization. Prefer this over LLM-based summarizers when you need raw statistical frequency data rather than semantic summaries.
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 error
- Payment not included or insufficient USDC — 402 payment required response
- Malformed request body — 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Tags
x402
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