# dt0ur.online Machine Translation (M2M-100)

> dt0ur.online Machine Translation (M2M-100) is a paid API for AI agents from dt0ur.online, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-03).

Translates text between 100+ language pairs using the Xenova M2M-100 sequence-to-sequence neural translation model.

## Facts

- Endpoint: POST https://dt0ur.online/api/inference/translate?utm_source=zero.xyz
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dt0ur-online-machine-translation-m2m-100-d9d8c7fb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OhnXuR_XNAs-OS2j8IoFQ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability dt0ur-online-machine-translation-m2m-100-d9d8c7fb -d '<json body>'
```

Example prompt: Can you translate this text — 'Bonjour, comment puis-je vous aider aujourd'hui?' — from French to English using the M2M-100 model?

## When to prefer this

Choose this endpoint when you need lightweight, fast neural machine translation across a broad set of language pairs (100+) without relying on commercial APIs like Google Translate or DeepL. It is particularly well-suited for agent workflows that need multilingual support with per-call micropayment pricing via x402, or when you want to keep translation within a decentralized, privacy-respecting inference stack using the open M2M-100 model.

## Known failure modes

- Unsupported language code returns an error or falls back to default
- Very long texts may be truncated or produce degraded translations
- Rare language pairs may have lower translation quality due to M2M-100 training data distribution
- Invalid ISO language codes in source_lang or target_lang cause request failure
- Network latency spikes if model inference is cold-starting

## How this service works

Translates text across 100+ language pairs using embedded Xenova M2M-100 sequence-to-sequence translation models.

## Output

Returns the translated text in the target language, produced by the M2M-100 neural model. The response includes the converted string ready for use in applications, UI, or communications.

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dt0ur-online-machine-translation-m2m-100-d9d8c7fb/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from dt0ur.online](https://www.zero.xyz/host/dt0ur.online/llms.txt)