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NetIntel Text Statistics
x402
NetIntel Text Statistics is a paid API for AI agents from netintel.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Returns instant, deterministic text statistics including character counts, word counts, sentence/paragraph counts, reading time, and speaking time for any input text.
Price / call$0.001
Success—
StatusUnknown
How this service works
Instant text statistics — characters (with/without spaces), words, unique words, sentences, paragraphs, average word/sentence length, longest word, reading and speaking time. Deterministic, no LLM, no API key. For agents sizing content before summarizing, chunking, embedding, or posting. Pass text as ?text= (GET) or a JSON body (POST).
Output
A JSON object with: total character count (including spaces), character count excluding spaces, word count, unique word count (case-insensitive), sentence count, paragraph count, average word length (2dp), average sentence length (2dp), longest word, reading time in seconds (at 200 wpm), speaking time in seconds (at 130 wpm), and a findings array (always empty on success).
Example use cases
Pre-chunking content size check
“Before I send this 5,000-word article to my embedding pipeline, can you run it through text stats to get the character count, word count, and paragraph count so I know how to split it up?”
Blog post readability audit
“Can you analyze this draft blog post and tell me the reading time, average sentence length, and unique word count? I want to make sure it's not too dense before I publish it.”
Social media copy length check
“I need to check if this caption fits — can you count the characters (with and without spaces), words, and sentences in it: 'Excited to announce our new product launch! Join us live on Thursday for a full demo and Q&A session.'”
Technical details
Endpoint
GEThttps://netintel.dev/text/statsWhen to prefer
Choose this endpoint when you need fast, deterministic, no-hallucination text metrics — especially for pre-processing steps in AI pipelines (chunking, embedding sizing, content moderation thresholds) or when you need accurate reading/speaking time estimates. Prefer this over LLM-based approaches when you need exact counts (not approximations) without any AI non-determinism, and when cost efficiency matters at $0.001 per call. No API key or account setup required.
Side effects
- Missing or empty text parameter returns an error — text must be 1 to 200,000 characters
- Text exceeding 200,000 characters is rejected
- Malformed query string or JSON body returns a bad request error
- Network timeout if the service is temporarily unavailable
- Payment failure via x402 if USDC balance is insufficient or payment not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"words": 14,
"findings": [],
"sentences": 2,
"characters": 83,
"paragraphs": 1,
"longest_word": "pay-per-call",
"unique_words": 14,
"avg_word_length": 5,
"avg_sentence_length": 7,
"characters_no_spaces": 70,
"reading_time_seconds": 5,
"speaking_time_seconds": 7
}
}Tags
x402
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