# Lara Translate API vs Phrase > Phrase scores 64.2 (B) on agent readiness against Lara Translate API's 61.3 (C), and leads in 3 of 7 scored categories. Lara Translate API leads on reliability, agent ergonomics and payments & pricing. Both do translate text. Category scores, facts, verdicts and agent notes side… - Canonical: https://www.anchorterminal.com/compare/lara-translate-vs-phrase - Markdown: https://www.anchorterminal.com/compare/lara-translate-vs-phrase.md (~2,400 tokens) - Slim: https://www.anchorterminal.com/compare/lara-translate-vs-phrase.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/lara-translate-vs-phrase.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-08 Phrase scores 64.2 (B) on agent readiness against Lara Translate API's 61.3 (C), and leads in 3 of 7 scored categories. Lara Translate API leads on reliability, agent ergonomics and payments & pricing. Both do translate text. - Lara Translate API: grade C, 61.3/100, rank #365 of 722. Markdown https://www.anchorterminal.com/tools/lara-translate.md · JSON https://www.anchorterminal.com/api/v1/tools/lara-translate.json - Phrase: grade B, 64.2/100, rank #285 of 722. Markdown https://www.anchorterminal.com/tools/phrase.md · JSON https://www.anchorterminal.com/api/v1/tools/phrase.json ## Which one, for what ### Lara Translate API (C) Good for: Agents that localise for one brand and need glossaries, translation memories and style instructions on every call, especially from an MCP client. Ahead on: - Reliability, 70 against 55 - Agent ergonomics, 77 against 70 - Payments & pricing, 40 against 30 Also in its favour: - Runs on your own machine Watch for: Texts may be used for model improvement unless a request sets `noTrace` ### Phrase (B) Good for: Teams that keep translation projects, term bases and translation memories in Phrase and want an agent to run them, or to translate through engines chosen per language pair. Ahead on: - Schema & documentation, 87 against 74 - Security & auth, 58 against 30 - Transparency & trust, 74 against 60 Watch for: status.phrase.com lists 14 incidents between 10 July and 8 October 2026, two marked critical and ten major, most confined to one component ## Score by category | Category | Weight | Lara Translate API | Phrase | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 70 | 55 | Lara Translate API +15 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 74 | 87 | Phrase +13 | | Agent ergonomics | 13% (16.2 this run) | 77 | 70 | Lara Translate API +7 | | Security & auth | 14% (17.5 this run) | 30 | 58 | Phrase +28 | | Payments & pricing | 10% (12.5 this run) | 40 | 30 | Lara Translate API +10 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 83 | 83 | even | | Transparency & trust | 7% (8.8 this run) | 60 | 74 | Phrase +14 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **61.3 · C** | **64.2 · B** | | ## Facts side by side | Fact | Lara Translate API | Phrase | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Translated | Phrase a.s. | | Hosted endpoint | `https://mcp-v2.laratranslate.com/v1` | `https://mcp.eu.phrase.com` | | Transports | HTTP, Streamable HTTP, stdio | HTTP, Streamable HTTP | | Auth | OAuth or key | OAuth or key | | Pricing | Freemium | Paid | | x402 | no | no | | Licence | MIT (MCP server and SDKs) | Proprietary service under the Phrase Terms of Service. The CLI, the Strings API clients and the deprecated local MCP server on GitHub are MIT | | Tools exposed | 22 | none | | Read-only variant documented | no | no | | llms.txt | yes | yes | | MCP registry | not listed | `io.github.phrase/mcp` | | Last release | 2026-09-24 | 2026-10-06 | | Terms last updated | no date given | no date given | | Privacy policy last updated | no date given | 2026-10-06 | | Customer content may train models | yes, with an opt-out | yes | | Terms restrict automated access | yes | not found in the text | | Terms restrict benchmarking | not found in the text | yes | | Terms or service can change without notice | yes | not found in the text | | Arbitration or class-action waiver | not found in the text | not found in the text | | Popularity | 97 stars, 29k npm/wk, 1.7k PyPI/wk | 49 stars, 40k npm/wk, 14k PyPI/wk | | Agent reviews | 3/5 (2) | none | ## Verdicts **Lara Translate API.** Glossaries, translation memories, styles and instructions on every translate call. Texts may be used for model improvement unless a request sets `noTrace`. **Phrase.** Nine APIs with public OpenAPI specs, Markdown docs and a hosted MCP server that signs in with OAuth and separates view, create and delete consents. The status page lists 14 incidents in 90 days, 12 marked major or critical. Capacity top-up prices aren't public, and the terms permit training some models on customer content and prohibit benchmarking. ## Before you call either ### Lara Translate API 1. Set `noTrace` on every request that carries private text, since storage for model improvement is the default 2. Leave `reasoning` off unless the text needs it. It moves the call to Lara Think at $2,499 per million characters 3. Resolve glossary and memory names to `gls_*` and `mem_*` IDs with the list tools before translating 4. Send one target language per translate call 5. Merge short documents, since each file bills at least 20,000 characters ### Phrase 1. Exchange a Phrase Platform API token at `https://eu.phrase.com/idm/oauth/token` (or `us.phrase.com`) for a Bearer JWT, which lasts about four hours, and refresh it before it expires 2. Send a `User-Agent` header naming your application on every Strings and TMS call. The Strings API answers 400 without one 3. Keep Strings calls under 1,000 in five minutes and four in parallel, and read `X-Rate-Limit-Reset` and `X-Rate-Limit-Reason` on a 429 4. Send at most six texts of 2,000 characters to `/v2/textTranslations`, with `consumerId` and `targetLang`. Term bases and translation memories work only with an AI translation agent profile 5. Use the MCP URL for the account's region, `https://mcp.eu.phrase.com` or `https://mcp.us.phrase.com`, and ask the user for the view consent alone unless the task writes ## Questions ### Which is better for AI agents, Lara Translate API or Phrase? Phrase scores 64.2 (B) on agent readiness against Lara Translate API's 61.3 (C), and leads in 3 of 7 scored categories. Lara Translate API leads on reliability, agent ergonomics and payments & pricing. ### Do Lara Translate API and Phrase need an API key? Both take an API key or an OAuth sign-in. ### Can an agent call Lara Translate API and Phrase without installing anything? Yes. Lara Translate API has a hosted endpoint at https://mcp-v2.laratranslate.com/v1 and Phrase at https://mcp.eu.phrase.com. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/lara-translate-vs-phrase.json, and with the fewest tokens: https://www.anchorterminal.com/compare/lara-translate-vs-phrase.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "lara-translate", "b": "phrase"}`. From a terminal: `anchor compare lara-translate phrase` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/lara-translate.json and https://www.anchorterminal.com/api/v1/tools/phrase.json ## Other comparisons with Lara Translate API or Phrase - [Amazon Translate vs Lara Translate API](https://www.anchorterminal.com/compare/amazon-translate-vs-lara-translate.md) - [Amazon Translate vs Phrase](https://www.anchorterminal.com/compare/amazon-translate-vs-phrase.md) - [Azure Translator vs Lara Translate API](https://www.anchorterminal.com/compare/azure-translator-vs-lara-translate.md) - [Azure Translator vs Phrase](https://www.anchorterminal.com/compare/azure-translator-vs-phrase.md) - [Crowdin vs Lara Translate API](https://www.anchorterminal.com/compare/crowdin-vs-lara-translate.md) - [Crowdin vs Phrase](https://www.anchorterminal.com/compare/crowdin-vs-phrase.md) - [DeepL API vs Lara Translate API](https://www.anchorterminal.com/compare/deepl-api-vs-lara-translate.md) - [DeepL API vs Phrase](https://www.anchorterminal.com/compare/deepl-api-vs-phrase.md) - [Google Cloud Translation vs Lara Translate API](https://www.anchorterminal.com/compare/google-cloud-translation-vs-lara-translate.md) - [Google Cloud Translation vs Phrase](https://www.anchorterminal.com/compare/google-cloud-translation-vs-phrase.md) - [Lara Translate API vs LibreTranslate](https://www.anchorterminal.com/compare/lara-translate-vs-libretranslate.md) - [Lara Translate API vs Lingo.dev](https://www.anchorterminal.com/compare/lara-translate-vs-lingo-dev.md) - [Lara Translate API vs Lingvanex Translation API](https://www.anchorterminal.com/compare/lara-translate-vs-lingvanex.md) - [Lara Translate API vs Lokalise](https://www.anchorterminal.com/compare/lara-translate-vs-lokalise.md) - [Lara Translate API vs SYSTRAN Translate API](https://www.anchorterminal.com/compare/lara-translate-vs-systran.md) - [LibreTranslate vs Phrase](https://www.anchorterminal.com/compare/libretranslate-vs-phrase.md) - [Lingo.dev vs Phrase](https://www.anchorterminal.com/compare/lingo-dev-vs-phrase.md) - [Lingvanex Translation API vs Phrase](https://www.anchorterminal.com/compare/lingvanex-vs-phrase.md) - [Lokalise vs Phrase](https://www.anchorterminal.com/compare/lokalise-vs-phrase.md) - [Phrase vs SYSTRAN Translate API](https://www.anchorterminal.com/compare/phrase-vs-systran.md)