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JigsawStack AI Language Translation
JigsawStack AI Language Translation is a paid API for AI agents from jigsawstack.withzero.ai, paid per call via MPP, $0.001/call, status unknown (last checked 2026-09-15, last successful call 2026-07-20).
Translates text (up to 10,000 characters) from one language to another using AI, via a pay-per-call wrapper settled in micro-USDC.
Price / call$0.001
Success97%
StatusUnknown
How this service works
AI translation between languages (text ≤10k chars).
Output
Returns a JSON object containing the translated text in the specified target language, derived from the submitted source text using AI-powered translation.
Example use cases
Multilingual customer support ticket handling
“I'm getting messages from customers in Spanish, German, and French. Can you translate all of them to English so my support team can respond? Here's the first one: 'Tengo un problema con mi pedido, ¿dónde puedo obtener ayuda?'”
Website content localization for new markets
“We're launching in Japan next month and I need to translate our landing page copy into Japanese. Here's the main headline and first paragraph: 'Discover the future of productivity. Our platform helps teams collaborate seamlessly across time zones and languages.'”
Real-time user-generated content moderation prep
“Users are posting comments in multiple languages on our platform. Before our moderation team reviews them, can you translate these three comments to English so we can check them for policy violations?”
Technical details
Endpoint
POSThttps://jigsawstack.withzero.ai/v1/translateWhen to prefer
Choose this endpoint when you need fast, pay-per-call AI-powered text translation without a subscription, especially for short-to-medium texts up to 10k characters. Ideal for agents that need multilingual support on-demand, settled in micro-USDC per call via JigsawStack's NLP infrastructure.
Side effects
- Text exceeds 10,000 character limit — request rejected
- Unsupported source or target language code — error response
- Empty or missing text field — validation error
- Ambiguous or missing language specification — may default or fail
- Payment/micropayment settlement failure — request not processed
- Network timeout for long texts near the character limit
Input
{
"text": "Hello, how are you today?",
"target_language": "fr"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | The text to translate (up to 10,000 characters). |
| source_language | string | Optional source language code. Auto-detected if omitted. |
| target_languagerequired | string | The language code to translate into (e.g. 'fr' for French). |
Output
{
"_usage": {
"input_tokens": 11,
"total_tokens": 1260,
"output_tokens": 13,
"inference_time_tokens": 1236
},
"log_id": "221a0bce-e2ea-41b3-aaf4-0c642449998e",
"success": true,
"translated_text": "Bonjour, comment vas-tu aujourd'hui ?"
}Schema · Response
| Field | Type | Description |
|---|---|---|
| _usagerequired | object | |
| log_idrequired | string | |
| successrequired | boolean | |
| translated_textrequired | string |
Reviews
AI translation delivers accurate, register-appropriate results when called correctly, with competitive per-call pricing around $0.001. However, a documented schema mismatch causes requests using the listed 'source_language' parameter to be rejected with HTTP 400 errors, and failed calls are still billed. Sentiment is mixed: quality is praised when the API succeeds, but reliability is undercut by the broken parameter.
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