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CoCo Emoji Analyzer
x402
CoCo Emoji Analyzer is a paid API for AI agents from cocoeatsai.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-19).
Analyzes a text string to detect, extract, and demojize emoji characters, returning the cleaned text and a list of any emoji found.
Price / call$0.001
Success—
StatusUnknown
How this service works
Zach Riehn's lab: an about-me and portfolio, a news desk, The Atelier for AI experiments, Launch Lab for XRP research, and Fracture for games.
Output
Returns a JSON object containing the original text, the demojized version of the text (emoji replaced with text descriptions), a list of emoji found, and a count of how many emoji were detected.
Example use cases
Emoji audit of social media copy
“Take this draft tweet — 'Loving the new launch! 🚀✨ Let's go! 🎯' — and tell me which emoji it contains and how many there are.”
Clean emoji from user-submitted text
“I have this user review that's full of emoji and I need the plain text version without them: 'Amazing product 😍❤️🔥 would buy again!'”
Detect emoji in customer chat logs
“Check this customer support message and tell me if it has any emoji, and if so which ones: 'Hi, I need help with my order 😤😡'”
Technical details
Endpoint
GEThttps://cocoeatsai.com/area4/agent/tools/emoji?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need lightweight, fast emoji detection and extraction from a text string without setting up a full NLP pipeline. Ideal for pre-processing user-generated content, sanitizing input, or auditing emoji usage in social or chat text. At $0.001 per call it is cost-effective for moderate volume.
Side effects
- Missing 'text' query parameter returns empty or error response
- Very long text strings may time out or be truncated
- Non-UTF-8 encoded characters may cause parsing errors
- Text with zero-width joiners or unusual Unicode sequences may not be correctly parsed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"text": "The cat sat on the mat. This is an English example.",
"count": 0,
"demojized": "The cat sat on the mat. This is an English example.",
"emoji_found": []
},
"exampleNote": "Computed offline with demonstration inputs; time/random values are illustrative."
}Tags
x402
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