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Tanod utilpeek Spellcheck
x402
Tanod utilpeek Spellcheck is a paid API for AI agents from tanod.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-11).
Spellchecks text in multiple languages and returns misspelled words with correction suggestions
Price / call$0.002
Success—
StatusUnknown
How this service works
One MCP server and HTTP API with 193 pay-per-call tools for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.
Output
Returns a list of misspelled words found in the input text, each accompanied by up to the requested number of suggested corrections ranked by likelihood. The language used for spell-checking matches the specified language parameter (defaulting to English).
Example use cases
Proofreading user-submitted blog posts
“Before I publish this blog post, can you check it for spelling errors and give me up to 5 suggestions for each mistake? The post is in English.”
Validating multilingual customer feedback
“I have a batch of customer reviews written in French — can you spellcheck this one and show me up to 3 correction options for any misspelled words: 'Lé servise était très bien mais les produit étaient chér.'”
Catching typos in agent-generated output
“Spellcheck this Spanish text and return up to 4 suggestions per misspelled word: 'El gato corimó rapido acia la caza y no volvio.'”
Technical details
Endpoint
POSThttps://tanod.dev/v1/text/spellcheck?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, pay-per-call spell-checking with multi-language support (English, Spanish, French, German, Portuguese) and configurable suggestion counts, without requiring a full NLP or grammar service. Ideal for agents that need to validate short-to-medium text content programmatically at low cost ($0.002/call).
Side effects
- Text exceeds 200,000 character limit — request rejected
- Unsupported language code provided — rejected with validation error
- Empty text field — rejected due to minLength constraint
- max_suggestions out of range (0–10) — validation error
- Network timeout on very large text inputs
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | The text (at most 200,000 characters). |
| language | string | Dictionary: en (default), es, fr, de or pt. |
| max_suggestions | integer | Corrections suggested per misspelled word (0-10, default 5). |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "dictionary lookup (word-frequency lists), not grammar or context aware; names and jargon may be flagged. Skipped: numbers, ACRONYMS, CamelCase, URLs and emails.",
"source": {
"url": "https://github.com/barrust/pyspellchecker",
"library": "pyspellchecker 0.9.0",
"license": "MIT",
"dictionary": "pyspellchecker bundled word-frequency list (OpenSubtitles 2018 derived)"
},
"language": "en",
"truncated": false,
"misspelled": [
{
"word": "Thiss",
"count": 1,
"positions": [
{
"line": 1,
"column": 1,
"offset": 0
}
],
"suggestions": [
{
"word": "this",
"distance": 1
},
{
"word": "hiss",
"distance": 1
}
]
},
{
"word": "sentense",
"count": 1,
"positions": [
{
"line": 1,
"column": 7,
"offset": 6
}
],
"suggestions": [
{
"word": "sentence",
"distance": 1
}
]
},
{
"word": "mispelled",
"count": 1,
"positions": [
{
"line": 1,
"column": 22,
"offset": 21
}
],
"suggestions": [
{
"word": "misspelled",
"distance": 1
},
{
"word": "dispelled",
"distance": 1
}
]
},
{
"word": "wrd",
"count": 1,
"positions": [
{
"line": 1,
"column": 32,
"offset": 31
}
],
"suggestions": [
{
"word": "word",
"distance": 1
},
{
"word": "ward",
"distance": 1
}
]
}
],
"words_checked": 5,
"misspelled_unique": 4,
"suggestions_incomplete": 0
}
}Tags
x402
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