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Emoji Tools – Analyze Text for Emoji
x402
Emoji Tools – Analyze Text for Emoji is a paid API for AI agents from emoji-tools.x402tookit.com, paid per call via x402, $0.03/call, status unknown (last checked 2026-11-02).
Analyzes a text string (up to 2000 characters) to count total and distinct emoji, grapheme clusters, encoding lengths, and flags unqualified or text-presentation emoji forms.
Price / call$0.03
Success—
StatusUnknown
How this service works
Analyze text (max 2000 chars): emoji count, distinct emoji, grapheme clusters, unqualified and text-presentation forms.
Output
Returns a JSON object containing: total emoji count, an array of distinct emoji objects (each with emoji character, name, count, status, and codepoints), grapheme cluster count, encoding lengths (UTF-8 bytes, code points, JS string length, UTF-16 code units), arrays of unqualified and text-presentation emoji, a breakdown of emoji kinds (flags, keycaps, ZWJ sequences, skin-tone variants), a summary string, and optional disclaimer or attribution fields.
Example use cases
Social media caption emoji audit
“I'm about to post this Instagram caption and want to know exactly how many emoji are in it, which ones repeat, and if any might render incorrectly as text — can you run it through the emoji analyzer? Caption: '🌟✨💫🌟 So grateful for this journey! 💖🙏🏽✨'”
Chat message encoding size check
“Before I store this message in my database, can you analyze it and tell me how many grapheme clusters and UTF-8 bytes it uses, and how many emoji are in it? Message: 'Thanks for helping me out 🙏🏻❤️🫶🏼 — you're the best! 🎊🎉'”
Content moderation emoji detection
“Run this user-submitted comment through the emoji analyzer and list every distinct emoji that appears in it along with its name and codepoints: 'Great product! 👍🔥💯 Will buy again 🛒🛍️💳'”
Technical details
Endpoint
GEThttps://emoji-tools.x402tookit.com/emoji-analyze-text?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a detailed, structured breakdown of emoji usage in a text string — especially when you need to distinguish unqualified emoji, detect text-presentation forms, count grapheme clusters for display-length purposes, or enumerate distinct emoji with Unicode metadata. It is more thorough than a simple regex emoji count and returns encoding-level detail useful for database storage, rendering compatibility checks, and content analysis pipelines.
Side effects
- Text exceeds 2000 characters — request rejected or truncated
- Empty text input — returns zero counts or error
- Payment failure — 402 response if USDC payment not included
- Malformed query parameter — HTTP 400 bad request
- Text with no emoji — returns valid response with zero counts
- Network timeout for very complex Unicode sequences
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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