agent402.tools Text Statistics Analyzer is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, not verified (last probed 2026-10-30); live alternatives: Honeypot Check Before Trade ($0.004) and agentsvc.io ERC20 Token Info Lookup ($0.0045).
Agents call it through Zero, which pays per call: no API key and no wallet of your own. New accounts start with $5. Live alternatives for the same use case: Honeypot Check Before Trade ($0.004) · agentsvc.io ERC20 Token Info Lookup ($0.0045).
Analyzes a block of text and returns character count, word count, sentence count, paragraph count, average word length, reading time, and an LLM token estimate.
Counts for any text in one call: characters (Unicode code points), words, sentences, paragraphs, avgWordLength, readingTimeMinutes (200 words a minute) and estimatedTokens, a rough LLM token estimate (about 4 characters a token, one per Chinese or Japanese character). Chinese and Japanese text, which has no spaces, is counted a character per word, and 。!? end sentences.
Returns a JSON object with character count, word count, sentence count, paragraph count, average word length, estimated reading time (likely in minutes), and an estimated LLM token count for the submitted text.
POSThttps://agent402.tools/api/text-stats?utm_source=zero.xyzUse this endpoint when you need a quick, low-cost breakdown of text statistics including LLM token estimates — especially useful before sending large texts to LLM APIs to estimate cost, or when validating document length against limits. Prefer this over manual counting or client-side estimation when accuracy and token estimation matter.
| Field | Type | Description |
|---|---|---|
| text | string | Text to analyze (max 500KB) |
{
"type": "json",
"example": {
"words": 65,
"sentences": 4,
"characters": 386,
"paragraphs": 1,
"avgWordLength": 4.95,
"estimatedTokens": 97,
"readingTimeMinutes": 0.3
}
}Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"