About Word Counter X402
Word Counter X402 is an MCP server and pay-per-call API for text statistics, aimed at AI agents and other clients that need content metrics. It returns counts and an estimated reading time, with access paid through x402 using USDC on Base.
Key features
- 01Count words and characters
- 02Count sentences and paragraphs
- 03Estimate reading time
- 04Pay per call with x402
Use cases
- 01Check text against length requirements
- 02Estimate an article's reading time
- 03Validate content length before publishing
MCP support
The MCP endpoint exposes the `text_count_words` tool, which accepts text and returns word, character, sentence, and paragraph counts plus estimated reading time. The service uses x402 pay-per-call payments.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://word-counter.api.klymax402.com/mcpclaude mcp add --transport sse word-counter-x402 https://word-counter.api.klymax402.com/mcp{"mcpServers":{"word-counter-x402":{"type":"sse","url":"https://word-counter.api.klymax402.com/mcp"}}}Open in Cursor{"servers":{"word-counter-x402":{"type":"sse","url":"https://word-counter.api.klymax402.com/mcp"}}}Open in VS Code{"mcpServers":{"word-counter-x402":{"type":"sse","url":"https://word-counter.api.klymax402.com/mcp"}}}{"mcpServers":{"word-counter-x402":{"serverUrl":"https://word-counter.api.klymax402.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEWord Counter API
Analyze text metrics: word count, characters, sentences, paragraphs, and estimated reading time in one call. Pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.
Part of the klymax402 marketplace -- 100 x402 micropayment APIs for AI agents, one wallet, USDC on Base.
Quickstart -- MCP
Add to your MCP client config (Claude Desktop, Cursor, ElizaOS, etc.):
{
"mcpServers": {
"word-counter": {
"url": "https://word-counter.api.klymax402.com/mcp"
}
}
}
Quickstart -- HTTP (x402)
curl -X POST "https://word-counter.api.klymax402.com/api/count" \
-H "Content-Type: application/json" \
-d '{"text":"..."}'
# -> 402 Payment Required, with an x402 payment challenge in the response body
Any x402-aware client (@x402/fetch, x402-agent-tools, ATXP) handles the 402 -> sign -> retry cycle automatically.
Tools
| Tool | Method | Path | Price | Description |
|---|---|---|---|---|
text_count_words | POST | /api/count | $0.003 | Count words, characters, sentences, paragraphs, and reading time |
text_count_words
Use this when you need to count words, characters, sentences, or paragraphs in text. Returns comprehensive text statistics with reading time estimate.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
text | string | yes | The text to analyze |
Example response:
{"words":250,"characters":1450,"charactersNoSpaces":1200,"sentences":15,"paragraphs":4,"readingTime":1.25}
When to use: content length validation, estimating article reading time, or checking if text meets minimum word count requirements. Essential BEFORE publishing blog posts or submitting content with length constraints.
Not for: language detection (use text_detect_language), sentiment analysis (use text_analyze_sentiment), text comparison (use text_compare_diff).
Example agent prompts
- "Count words, characters, sentences, or paragraphs in text"
Payment
- Protocol: x402 -- HTTP-native pay-per-call, no signup, no API key
- Network: Base L2 (
eip155:8453) - Asset: USDC
- Facilitator: Coinbase CDP (primary), PayAI (fallback)
- Also reachable via ATXP (OAuth-wrapped x402, RFC 9728 protected-resource metadata)
Part of klymax402
100 x402 micropayment APIs for AI agents -- one wallet, USDC on Base, zero signup.
- Catalog: https://klymax402.com/llms.txt
- Full API reference: https://klymax402.com/llms-full.txt
- Live stats: https://klymax402.com/stats
License
MIT
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.