{ "data": { "a": { "slug": "google-veo", "name": "Google Veo", "vendor": "Google", "vendorUrl": "https://ai.google.dev", "kind": "model", "category": "video-generation", "summary": "Google's Veo video models with native audio, through Vertex AI (Gemini Enterprise Agent Platform). The Gemini API's Veo models shut down by 22 October 2026.", "url": "https://www.anchorterminal.com/tools/google-veo", "markdownUrl": "https://www.anchorterminal.com/tools/google-veo.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/google-veo.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/google-veo.json", "dns": "google-veo.grade.anchorterminal.com", "repo": "https://github.com/googleapis/python-genai", "license": "Apache-2.0 (SDKs)", "transports": [ "http" ], "remoteUrl": "https://us-central1-aiplatform.googleapis.com/v1", "packages": [ { "registry": "pypi", "name": "google-genai" }, { "registry": "npm", "name": "@google/genai" } ], "auth": "api-key", "authNotes": "Google Cloud OAuth (service account or gcloud token) with IAM on Vertex AI. Google's OAuth guide and the Vertex AI discovery document also document an `access_token` query parameter. The Gemini API route with an AI Studio key no longer serves Veo.", "pricing": "usage", "pricingNotes": "No free tier for Veo. Vertex AI bills per count of generated video. Veo 3.1 with audio $0.40 at 720p and 1080p, $0.60 at 4K, or $0.20 and $0.40 without audio. Veo 3.1 Fast with audio $0.10 at 720p, $0.12 at 1080p, $0.30 at 4K. Veo 3.1 Lite with audio $0.05 at 720p and $0.08 at 1080p, or $0.03 and $0.05 without audio (https://cloud.google.com/model-garden/pricing).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No machine payment. Needs billing on a Google Cloud project (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/veo/3-1-generate", "rateLimitsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/quotas", "llmsTxt": "https://aistudio.google.com/llms.txt", "capabilities": [ "video.generate", "video.image-to-video", "video.audio", "video.extend" ], "tags": [ "official", "hosted", "closed-source", "card-required", "llms-txt", "async-jobs", "python", "typescript", "watermark" ], "lastRelease": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 69.3, "grade": "B", "agentReady": false, "rank": 253, "ranked": true, "rankOf": 1510, "categoryRank": 2, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 64, "maintenance": 77, "payments": 20, "reliability": 87, "schema": 71, "security": 80, "transparency": 77 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "negative": 0, "verdict": "Veo now runs only on Vertex AI, where Veo 3.1 and 3.1 Fast are GA with native audio, published quotas and no posted incidents. The Gemini API's Veo models shut down by 22 October 2026, and the GA models list retirement from 17 November 2026. There is no free tier and no SLA for the Veo call.", "bestFor": "Teams already on Google Cloud who want GA video with sound, in us-central1, and can plan for a retirement date from 17 November 2026.", "strengths": [ "Veo 3.1 and 3.1 Fast are GA on Vertex AI, with native audio and up to 4K", "Google Cloud's status dashboard tracks Veo as its own product, with no incident posted", "50 requests a minute per base model and backoff guidance for 429s are published", "Data Access audit logs and IAM roles on Vertex AI, with ISO/IEC 27001 naming the platform", "Lite at $0.05 for 720p with audio, $0.03 without, in preview" ], "weaknesses": [ "Every Veo model on the Gemini API shut down by 22 October 2026", "The GA Veo 3.1 models list a retirement date of 17 November 2026 or later", "The API reads an OAuth token from the URL query string", "No free tier, and the Veo call isn't covered by Google's SLA", "us-central1 is the only region" ], "agentNotes": [ "Call Veo on Vertex AI with veo-3.1-generate-001 or veo-3.1-fast-generate-001; the Gemini API's veo-3.1-*-preview IDs shut down on 22 October 2026", "Check the model page before relying on Veo after 17 November 2026, its earliest listed retirement date, or plan a move to gemini-omni-1.1-flash", "Send the OAuth token in the Authorization header, never as the documented `?access_token=` query parameter", "Poll the returned operation about every 10 seconds; jobs take 11 seconds to 6 minutes at peak", "On a 429, back off with truncated exponential retries; Veo has a fixed quota of 50 requests a minute per base model in us-central1" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69.3 } ], "editorialScores": { "ergonomics": 64, "maintenance": 77, "payments": 20, "reliability": 87, "schema": 71, "security": 80, "transparency": 65 }, "provenanceScore": 89, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "lastMoved": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install google-genai # or: npm i @google/genai, with vertexai enabled", "http": "curl -X POST \"https://us-central1-aiplatform.googleapis.com/v1/projects/$PROJECT_ID/locations/us-central1/publishers/google/models/veo-3.1-generate-001:predictLongRunning\" \\\n -H \"Authorization: Bearer $(gcloud auth print-access-token)\" -H \"Content-Type: application/json\" \\\n -d '{\"instances\":[{\"prompt\":\"a paper boat drifting down a rainy street\"}]}'" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/google-veo" }, "sameCompany": [ "gemini-api", "vertex-ai", "gemini-embedding", "vertex-ai-tuning", "cloud-run-gpus", "google-model-armor", "google-imagen", "google-lyria", "google-speech-to-text", "google-cloud-tts", "gemini-live", "google-adk", "google-memory-bank", "google-secret-manager", "google-cloud-document-ai", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-cloud-storage", "google-drive-api", "gemini-enterprise", "gemini-cli", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api", "google-people-api" ], "area": "content", "unitPrices": [ { "item": "Veo 3.1 720p or 1080p", "unit": "video-second", "usd": 0.4, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 4K", "unit": "video-second", "usd": 0.6, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 Fast 720p", "unit": "video-second", "usd": 0.1, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 Fast 1080p", "unit": "video-second", "usd": 0.12, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 Fast 4K", "unit": "video-second", "usd": 0.3, "note": "with audio, Vertex AI" }, { "item": "Veo 3.1 Lite 720p", "unit": "video-second", "usd": 0.05, "note": "with audio, Vertex AI (preview)" }, { "item": "Veo 3.1 Lite 1080p", "unit": "video-second", "usd": 0.08, "note": "with audio, Vertex AI (preview)" } ], "provenance": { "legalEntity": "Google LLC", "domain": "google.com", "domainRegistered": "1997-09-15", "endpointOnVendorDomain": true, "terms": "https://ai.google.dev/gemini-api/terms", "privacy": "https://policies.google.com/privacy", "statusPage": "https://status.cloud.google.com/products/p5rCvyraXdeC6HFE8XJJ/history", "changelog": "https://aistudio.google.com/docs/changelog", "securityTxt": "valid", "checked": "2026-11-04", "notes": [ "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997", "Vertex AI is now called Gemini Enterprise Agent Platform in Google's docs", "The Gemini API docs moved from ai.google.dev to aistudio.google.com by 4 November 2026; the terms URL redirects there" ], "score": 89 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/google-veo.json", "live": { "slug": "google-veo", "probe": { "target": "https://us-central1-aiplatform.googleapis.com/v1", "method": "get", "lastAt": "2026-11-08T00:55:42.516037187Z", "lastOk": true, "lastStatus": 404, "lastMs": 598, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 627, "p95ms24h": 726, "samples24h": 244, "samples30d": 7704, "days": [ { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 248, "ok": 248 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 243, "ok": 243 }, { "date": "2026-11-08", "probes": 10, "ok": 10 } ] }, "vendorStatus": { "page": "https://status.cloud.google.com/products/p5rCvyraXdeC6HFE8XJJ/history", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-08T00:31:27.390601373Z" }, "versions": [ { "registry": "github", "name": "googleapis/python-genai", "version": "v3.0.0", "released": "2026-11-06", "seenAt": "2026-11-08T00:59:56.965074253Z" }, { "registry": "npm", "name": "@google/genai", "version": "3.0.0", "seenAt": "2026-11-08T00:59:56.751992746Z" }, { "registry": "pypi", "name": "google-genai", "version": "3.0.0", "released": "2026-11-06", "seenAt": "2026-11-08T00:59:56.642994478Z" } ], "githubStars": 4056, "npmWeekly": 31941223, "pypiWeekly": 38628710, "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-11-07T16:01:22.068349931Z" }, "llmsTxt": { "url": "https://aistudio.google.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:39.342809126Z" }, "domain": { "domain": "google.com", "registered": "1997-09-15", "source": "https://rdap.verisign.com/com/v1/domain/google.com", "checkedAt": "2026-11-01T14:17:18.719851913Z" }, "pages": [ { "url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/veo/3-1-generate", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:05:38.009030865Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2e241a8d0357" }, { "url": "https://cloud.google.com/model-garden/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:01:19.64261752Z", "changedAt": "2026-11-06T13:24:02.197636444Z", "fingerprint": "a4fe253bd23f" } ], "github": { "repo": "googleapis/python-genai", "checkedAt": "2026-11-02T08:52:22.518653754Z", "stars": 4054, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-31T00:34:25Z", "openIssues": 227, "openPRs": 143, "issuesOpened90d": 78, "issuesClosed90d": 38, "prsMerged90d": 216, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-10-30T23:58:40Z" }, "replies": { "sampled": 25, "unanswered": 16, "medianDays": 7.5 } }, "updatedAt": "2026-11-08T00:59:56.965074253Z" } }, "answer": "Google Veo scores 69.3 (B) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 5 of 7 scored categories. sync. labs MCP server leads on schema \u0026 documentation and payments \u0026 pricing.", "b": { "slug": "sync-labs-mcp", "name": "sync. labs MCP server", "vendor": "Synchronicity Labs (sync.)", "vendorUrl": "https://sync.so", "kind": "mcp", "category": "video-generation", "summary": "sync. labs' open-source MCP server lets an agent lip-sync video to new audio or a script, dub it into other languages with matching lips, and manage generations, hosted with OAuth for web clients or run locally with an API key.", "url": "https://www.anchorterminal.com/tools/sync-labs-mcp", "markdownUrl": "https://www.anchorterminal.com/tools/sync-labs-mcp.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sync-labs-mcp.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sync-labs-mcp.json", "dns": "sync-labs-mcp.grade.anchorterminal.com", "repo": "https://github.com/synchronicity-labs/mcp-server", "license": "MIT", "transports": [ "streamable-http" ], "remoteUrl": "https://mcp.sync.so/mcp", "packages": [], "auth": "mixed", "authNotes": "OAuth for Claude Web and ChatGPT, tied to the active sync. organisation. Local and editor setups run @sync.so/mcp-server with a SYNC_API_KEY.", "pricing": "paid", "pricingNotes": "Plans from $5 a month (hobbyist) to $49 and up, plus usage per second of video (for example $5 a month plus $0.05 a second); dubbing audio $0.10 a second, text-to-speech $0.004 a second. A free try for videos up to a minute (checked 2026-11-07).", "priceSummary": "Paid", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the MCP docs or pricing page (checked 2026-11-07).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-07" }, "docsUrl": "https://sync.so/docs/plugins-and-extensions/mcp-server", "llmsTxt": "https://sync.so/llms.txt", "registryName": "io.github.synchronicity-labs/mcp-server", "capabilities": [ "video.edit", "video.audio", "translation.dubbing" ], "tags": [ "official", "hosted", "mcp", "remote-mcp", "oauth", "api-key", "paid", "status-page", "open-source", "llms-txt", "mcp-registry" ], "graded": true, "anchor": { "graded": true, "score": 51.5, "grade": "D", "agentReady": false, "rank": 1026, "ranked": true, "rankOf": 1510, "categoryRank": 10, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 55, "maintenance": 75, "payments": 30, "reliability": 43, "schema": 81, "security": 38, "transparency": 44 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-07" }, "negative": 0, "verdict": "sync. labs' MCP server is open source, generated from its API spec with workflow tools on top, and released often, with clear per-second prices for lip sync and dubbing. Security and data handling are thinly documented, and there's no read-only mode.", "bestFor": "Agents that lip-sync or dub video into other languages.", "strengths": [ "Open source under MIT, with tests and CI", "Tools generated from the public API spec, so they track the API", "Per-second prices published", "OAuth for web clients, API key locally", "Frequent tagged releases" ], "weaknesses": [ "No read-only mode", "Data handling and security programme not documented in the pages read", "Only a short free try" ], "agentNotes": [ "Get an estimate before long generations", "Dub or lip-sync only voices and faces the user has the right to use", "Check the active organisation before connecting with OAuth" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 51.5 } ], "editorialScores": { "ergonomics": 55, "maintenance": 75, "payments": 30, "reliability": 43, "schema": 81, "security": 38, "transparency": 40 }, "provenanceScore": 48, "checked": { "categories": { "ergonomics": "2026-11-07", "maintenance": "2026-11-07", "payments": "2026-11-07", "reliability": "2026-11-07", "schema": "2026-11-07", "security": "2026-11-07", "transparency": "2026-11-07" }, "last": "2026-11-07", "oldest": "2026-11-07", "stale": false, "staleAfterDays": 90 } }, "connect": { "claudeCode": "claude mcp add sync-labs --transport http https://mcp.sync.so/mcp", "config": { "mcpServers": { "sync-labs": { "url": "https://mcp.sync.so/mcp" } } } }, "letme": { "capability": "https://letme.dev/video.edit", "tool": "https://letme.dev/sync-labs-mcp" }, "area": "content", "unitPrices": [ { "item": "Lip sync video (hobbyist)", "unit": "video-second", "usd": 0.05, "note": "Plus $5 a month plan" }, { "item": "Dubbing audio", "unit": "video-second", "usd": 0.1 } ], "provenance": { "legalEntity": "Synchronicity Labs", "domain": "sync.so", "domainRegistered": "", "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules.", "endpointOnVendorDomain": true, "terms": "", "privacy": "", "statusPage": "https://status.sync.so", "changelog": "", "securityTxt": "none", "checked": "2026-11-07", "notes": [ "The repository is MIT. Terms and privacy weren't read." ], "score": 48 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/sync-labs-mcp.json", "live": { "slug": "sync-labs-mcp", "probe": { "target": "https://mcp.sync.so/mcp", "method": "mcp-initialize", "lastAt": "2026-11-08T00:56:07.887985939Z", "lastOk": true, "lastStatus": 401, "lastMs": 321, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 362, "p95ms24h": 437, "samples24h": 63, "samples30d": 63, "days": [ { "date": "2026-11-07", "probes": 53, "ok": 53 }, { "date": "2026-11-08", "probes": 10, "ok": 10 } ] }, "vendorStatus": { "page": "https://status.sync.so", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-08T00:32:26.812315776Z" }, "updatedAt": "2026-11-08T00:56:07.887985939Z" } }, "edges": [ { "by": 44, "category": "reliability", "leads": "google-veo", "name": "Reliability", "reasons": { "a": "Graded on Vertex AI (Gemini Enterprise Agent Platform), the route the listing names that still serves Veo, since every Veo model on the Gemini API shut down by 22 October 2026. Google Cloud's status dashboard lists Veo on Agent Platform as its own product with a history page (20). That page reads 'No incidents reported' on 4 November 2026, and the dashboard posts incidents for other products, so a clean record (30). The 1 October readings of the AI Studio page and a third-party monitor are dropped (the monitor is a barred copy of a status page). The Veo 3.1 model page publishes 50 regional online prediction requests a minute per base model in us-central1 (15). The Agent Platform error 429 page gives truncated exponential backoff, quota increase requests and traffic smoothing. A Veo request starts a billed generation job and no idempotency key is documented, so backoff guidance without keys, as runway and fal-video read their video job APIs (12). The Gemini online inference SLA, last modified 30 June 2026 and re-read on 4 November, covers only generateContent and streamGenerateContent, not the predictLongRunning call Veo uses (0). veo-3.1-generate-001 and veo-3.1-fast-generate-001 are GA, Lite is preview (10). 20 + 30 + 15 + 12 + 0 + 10 = 87.", "b": "Status page at status.sync.so with maintenance and previous incidents (20). History not read (5). No MCP limits found (0). The source has abort-signal handling and recovery guidance for long jobs (8 of 15). No SLA found (0). Version 0.2.4, not labelled beta (10). 20 + 5 + 0 + 8 + 0 + 10 = 43." }, "scores": { "a": 87, "b": 43 } }, { "by": 42, "category": "security", "leads": "google-veo", "name": "Security \u0026 auth", "reasons": { "a": "Model reading of the checklist (credential, training, retention, operator visibility, programme), on the Vertex AI route. Vertex AI uses Google Cloud OAuth with IAM roles (30), less 10 because the API reads a token from the URL. Google's OAuth 2.0 web-server guide (last updated 30 October 2026) says to call a Google API with 'either an access_token query parameter or an Authorization HTTP header Bearer value', and the Vertex AI v1 discovery document (revision 20261028, as published in Google's google-api-python-client repository) lists `access_token`, `oauth_token` and `key` as query parameters, the deduction Google APIs took on 17 October and 1 November (20 of 30). Prompts and responses on paid services aren't used to improve products, per the 1 October reading of the terms, not re-read on 4 November (20). Retention for Veo jobs on Vertex AI wasn't read on 4 November. The 1 October reading (videos kept 2 days, abuse-log period not stated, no deletion call) holds the line (5 of 15). Data Access audit logs record reads and writes to model endpoints once enabled, per the Agent Platform page last updated 3 November 2026, as the Gemini Embedding listing credits Cloud Audit Logs on Vertex AI (15). security.txt valid to 2030 with Google's vulnerability reward programme, per the 1 October check (10). ISO/IEC 27001 scope, re-read on 4 November, names Generative AI on Gemini Enterprise Agent Platform, the route graded (10). 20 + 20 + 5 + 15 + 20 = 80.", "b": "OAuth per organisation, or an API key in the environment (22 of 30). No read-only mode (3 of 20). Media in and out, no third-party text (10). No audit log found (0). No security programme found (3 of 20). 22 + 3 + 10 + 0 + 3 = 38." }, "scores": { "a": 80, "b": 38 } }, { "by": 33, "category": "transparency", "leads": "google-veo", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed models under Google's terms, which say Google won't claim ownership of generated content. SDKs are Apache 2.0 (15). The terms state the paid and unpaid data use (10). Video retention is stated (2 days on the Gemini API), the abuse-log period isn't (5). The terms, pricing page and Veo guide agree, and we didn't read the DPA (5), per the 1 October check. The deprecations page gives release and shutdown dates for every Gemini API Veo ID and names replacements, and the Agent Platform model page dates each GA model's retirement (20). The Agent Platform model page names us-central1 as the only region and lists data residency, CMEK and VPC-SC controls. We didn't check subprocessors (10).", "b": "MIT open source (30). Data handling not read (5 of 30). No deprecation policy; earlier tool names documented as superseded (5 of 20). Subprocessors not found (0). 30 + 5 + 5 + 0 = 40." }, "scores": { "a": 77, "b": 44 } }, { "by": 10, "category": "schema", "leads": "sync-labs-mcp", "name": "Schema \u0026 documentation", "reasons": { "a": "The 1 October reading of the request contract holds, per the 1 October check. Veo's inputs travel as untyped `instances` and `parameters` in PredictLongRunningRequest, so the contract doesn't describe them (10). llms.txt and Markdown copies of the Gemini API docs, which moved to aistudio.google.com by 4 November (10). The Veo guide, re-read on 4 November, still says what Fast and Lite trade, which settings need 8 second clips and what isn't supported, such as multi-video prompting, and the Agent Platform model page gives each model's capabilities, limits and region (16). Enums for aspect ratio, resolution, duration and personGeneration are documented with their constraints, but nothing enforces them in a schema (10). REST and SDK examples in the guide. Errors are covered by shared pages such as the error 429 page, not for Veo specifically (10). Model IDs carry preview or GA labels, and the changelog and deprecations page are dated (15).", "b": "Tools generated from the public API specification plus workflow tools, with typed schemas in the source (25). llms.txt and .md pages (10). Tool table with descriptions (14 of 20). Typed from the API spec (12 of 15). Examples and an estimates tool; errors not documented (8 of 15). Tags v0.2.2 to v0.2.4 and dated commits (12 of 15). 25 + 10 + 14 + 12 + 8 + 12 = 81." }, "scores": { "a": 71, "b": 81 } }, { "by": 10, "category": "payments", "leads": "sync-labs-mcp", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0). Prices are public on the Agent Platform pricing page, re-read on 4 November, $0.40 a count for Veo 3.1 with audio at 720p and 1080p and $0.60 at 4K, down to $0.03 for Lite without audio at 720p (20). No free tier for any Veo model (0). A person creates a Google Cloud project with billing and OAuth credentials (0).", "b": "No machine payment protocol (0). Per-second prices published (20). A free try for short videos (10 of 20). A person signs up (0). 0 + 20 + 10 + 0 = 30." }, "scores": { "a": 20, "b": 30 } }, { "by": 9, "category": "ergonomics", "leads": "google-veo", "name": "Agent ergonomics", "reasons": { "a": "Per the 1 October check, read from the Veo guide, which uses the same request on both routes. The create call returns a small operation object to poll (15). No callback, and the docs say poll every 10 seconds (0 of 10). Resolution, duration and aspect ratio control output size (10). No list of past jobs (0 of 10). Standard Google error statuses such as INVALID_ARGUMENT and RESOURCE_EXHAUSTED that an agent can branch on (14). No idempotency key, and the 1 October reading found only generated videos billed (10). Only the prompt is required, defaults are 720p, 16:9 and 8 seconds, and official SDKs exist for Python, JavaScript, Go and Java (15). Vertex AI's own API reference for Veo wasn't read on 4 November.", "b": "A generated catalogue filtered by client profile, curated for ChatGPT (15). Project history and estimates (12 of 20). Recovery tools; errors not documented (8 of 20). Annotations not read (5 of 20). OAuth or a key, npm package and library use (15). 15 + 12 + 8 + 5 + 15 = 55." }, "scores": { "a": 64, "b": 55 } } ], "facts": [ { "a": "Model API", "b": "MCP server", "name": "Kind" }, { "a": "Google", "b": "Synchronicity Labs (sync.)", "name": "Vendor" }, { "a": "https://us-central1-aiplatform.googleapis.com/v1", "b": "https://mcp.sync.so/mcp", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Paid", "name": "Pricing" }, { "a": "not published", "b": "$0.10 per second of video", "name": "Price for video audio" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (SDKs)", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.synchronicity-labs/mcp-server", "name": "MCP registry" }, { "a": "2026-10-29", "b": "none", "name": "Last release" }, { "a": "2026-04-28", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-10-01", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not read yet", "name": "Customer content may train models" }, { "a": "yes", "b": "not read yet", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not read yet", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not read yet", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not read yet", "name": "Arbitration or class-action waiver" }, { "a": "4k stars", "b": "none", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Google Veo scores 69.3 (B) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 5 of 7 scored categories. sync. labs MCP server leads on schema \u0026 documentation and payments \u0026 pricing.", "question": "Which is better for AI agents, Google Veo or sync. labs MCP server?" }, { "answer": "Google Veo needs an API key. sync. labs MCP server takes an API key or an OAuth sign-in.", "question": "Do Google Veo and sync. labs MCP server need an API key?" }, { "answer": "Yes. Google Veo has a hosted endpoint at https://us-central1-aiplatform.googleapis.com/v1 and sync. labs MCP server at https://mcp.sync.so/mcp.", "question": "Can an agent call Google Veo and sync. labs MCP server without installing anything?" }, { "answer": "No open-source release is listed for Google Veo. sync. labs MCP server is open source (MIT).", "question": "Are Google Veo and sync. labs MCP server open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 87 against 43", "Agent ergonomics, 64 against 55", "Security \u0026 auth, 80 against 38", "Transparency \u0026 trust, 77 against 44" ], "also": null, "goodFor": "Teams already on Google Cloud who want GA video with sound, in us-central1, and can plan for a retirement date from 17 November 2026.", "slug": "google-veo", "watchFor": "Every Veo model on the Gemini API shut down by 22 October 2026" }, { "aheadOn": [ "Schema \u0026 documentation, 81 against 71", "Payments \u0026 pricing, 30 against 20" ], "also": [ "Open source" ], "goodFor": "Agents that lip-sync or dub video into other languages.", "slug": "sync-labs-mcp", "watchFor": "No read-only mode" } ], "history": { "google-veo": [ { "causes": [ "product" ], "date": "2026-11-04", "delta": 8.9, "from": 60.4, "fromGrade": "C", "to": 69.3, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.4, "from": 60.8, "fromGrade": "C", "to": 60.4, "toGrade": "C" } ], "sync-labs-mcp": null }, "job": { "capability": "video.audio", "name": "Video audio" }, "others": [ { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.json", "title": "Alibaba Wan (Model Studio) vs Google Veo", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-google-veo.json", "title": "fal video models vs Google Veo", "url": "https://www.anchorterminal.com/compare/fal-video-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-google-veo.json", "title": "framefields vs Google Veo", "url": "https://www.anchorterminal.com/compare/framefields-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.json", "title": "Google Veo vs Higgsfield API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-hyperframes.json", "title": "Google Veo vs HyperFrames", "url": "https://www.anchorterminal.com/compare/google-veo-vs-hyperframes" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-kling.json", "title": "Google Veo vs Kling AI API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-kling" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-luma.json", "title": "Google Veo vs Luma AI API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp.json", "title": "Google Veo vs Magic Hour MCP", "url": "https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-minimax-video.json", "title": "Google Veo vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-openai-sora.json", "title": "Google Veo vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-pika.json", "title": "Google Veo vs Pika API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-pixverse.json", "title": "Google Veo vs PixVerse API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-popcraft-mcp.json", "title": "Google Veo vs Popcraft MCP", "url": "https://www.anchorterminal.com/compare/google-veo-vs-popcraft-mcp" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.json", "title": "Google Veo vs Replicate video models", "url": "https://www.anchorterminal.com/compare/google-veo-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-runway.json", "title": "Google Veo vs Runway API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-seedance-on-byteplus-modelark.json", "title": "Google Veo vs Seedance on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/google-veo-vs-seedance-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-vidu.json", "title": "Google Veo vs Vidu API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-vidu" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-sync-labs-mcp.json", "title": "Alibaba Wan (Model Studio) vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/clueso-video-vs-sync-labs-mcp.json", "title": "Clueso vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/clueso-video-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp.json", "title": "fal video models vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-sync-labs-mcp.json", "title": "framefields vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/framefields-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/higgsfield-vs-sync-labs-mcp.json", "title": "Higgsfield API vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/higgsfield-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/kling-vs-sync-labs-mcp.json", "title": "Kling AI API vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/kling-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/luma-vs-sync-labs-mcp.json", "title": "Luma AI API vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/luma-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-sync-labs-mcp.json", "title": "Magic Hour MCP vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/magic-hour-mcp-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/minimax-video-vs-sync-labs-mcp.json", "title": "MiniMax Video API vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/minimax-video-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/pika-vs-sync-labs-mcp.json", "title": "Pika API vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/pika-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/pixverse-vs-sync-labs-mcp.json", "title": "PixVerse API vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/pixverse-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/replicate-video-vs-sync-labs-mcp.json", "title": "Replicate video models vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/replicate-video-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/runway-vs-sync-labs-mcp.json", "title": "Runway API vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/runway-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/seedance-on-byteplus-modelark-vs-sync-labs-mcp.json", "title": "Seedance on BytePlus ModelArk vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/seedance-on-byteplus-modelark-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/openai-sora-vs-sync-labs-mcp.json", "title": "OpenAI Sora API vs sync. labs MCP server", "url": "https://www.anchorterminal.com/compare/openai-sora-vs-sync-labs-mcp" }, { "json": "https://www.anchorterminal.com/compare/sync-labs-mcp-vs-vidu.json", "title": "sync. labs MCP server vs Vidu API", "url": "https://www.anchorterminal.com/compare/sync-labs-mcp-vs-vidu" } ], "panel": null, "scores": [ { "by": 44, "edge": "google-veo", "google-veo": 87, "key": "reliability", "name": "Reliability", "sync-labs-mcp": 43, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 10, "edge": "sync-labs-mcp", "google-veo": 71, "key": "schema", "name": "Schema \u0026 documentation", "sync-labs-mcp": 81, "weight": 13 }, { "by": 9, "edge": "google-veo", "google-veo": 64, "key": "ergonomics", "name": "Agent ergonomics", "sync-labs-mcp": 55, "weight": 13 }, { "by": 42, "edge": "google-veo", "google-veo": 80, "key": "security", "name": "Security \u0026 auth", "sync-labs-mcp": 38, "weight": 14 }, { "by": 10, "edge": "sync-labs-mcp", "google-veo": 20, "key": "payments", "name": "Payments \u0026 pricing", "sync-labs-mcp": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "google-veo", "google-veo": 77, "key": "maintenance", "name": "Maintenance \u0026 community", "sync-labs-mcp": 75, "weight": 7 }, { "by": 33, "edge": "google-veo", "google-veo": 77, "key": "transparency", "name": "Transparency \u0026 trust", "sync-labs-mcp": 44, "weight": 7 } ], "summary": "Google Veo scores 69.3 (B) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 5 of 7 scored categories. sync. labs MCP server leads on schema \u0026 documentation and payments \u0026 pricing. Both do video audio.", "tasks": null, "tutorials": [], "verdicts": { "google-veo": "Veo now runs only on Vertex AI, where Veo 3.1 and 3.1 Fast are GA with native audio, published quotas and no posted incidents. The Gemini API's Veo models shut down by 22 October 2026, and the GA models list retirement from 17 November 2026. There is no free tier and no SLA for the Veo call.", "sync-labs-mcp": "sync. labs' MCP server is open source, generated from its API spec with workflow tools on top, and released often, with clear per-second prices for lip sync and dubbing. Security and data handling are thinly documented, and there's no read-only mode." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/google-veo-vs-sync-labs-mcp", "json": "https://www.anchorterminal.com/compare/google-veo-vs-sync-labs-mcp.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/google-veo-vs-sync-labs-mcp.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/google-veo-vs-sync-labs-mcp.min.md" }, "markdown": "Google Veo scores 69.3 (B) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 5 of 7 scored categories. sync. labs MCP server leads on schema \u0026 documentation and payments \u0026 pricing. Both do video audio.\n\n- Google Veo: grade B, 69.3/100, rank #253 of 1510. Markdown https://www.anchorterminal.com/tools/google-veo.md · JSON https://www.anchorterminal.com/api/v1/tools/google-veo.json\n- sync. labs MCP server: grade D, 51.5/100, rank #1026 of 1510. Markdown https://www.anchorterminal.com/tools/sync-labs-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/sync-labs-mcp.json\n- Best video generation for AI agents: https://www.anchorterminal.com/best/video-generation/index.md\n- All 183 video comparisons: https://www.anchorterminal.com/compare/video-generation/index.md\n\n## Which one, for what\n\n### Google Veo (B)\n\nGood for: Teams already on Google Cloud who want GA video with sound, in us-central1, and can plan for a retirement date from 17 November 2026.\n\nAhead on:\n- Reliability, 87 against 43\n- Agent ergonomics, 64 against 55\n- Security \u0026 auth, 80 against 38\n- Transparency \u0026 trust, 77 against 44\n\nWatch for: Every Veo model on the Gemini API shut down by 22 October 2026\n\n### sync. labs MCP server (D)\n\nGood for: Agents that lip-sync or dub video into other languages.\n\nAhead on:\n- Schema \u0026 documentation, 81 against 71\n- Payments \u0026 pricing, 30 against 20\n\nAlso in its favour:\n- Open source\n\nWatch for: No read-only mode\n\n\n## Why the edge\n\n### Reliability: Google Veo +44\n\n- Google Veo (87): Graded on Vertex AI (Gemini Enterprise Agent Platform), the route the listing names that still serves Veo, since every Veo model on the Gemini API shut down by 22 October 2026. Google Cloud's status dashboard lists Veo on Agent Platform as its own product with a history page (20). That page reads 'No incidents reported' on 4 November 2026, and the dashboard posts incidents for other products, so a clean record (30). The 1 October readings of the AI Studio page and a third-party monitor are dropped (the monitor is a barred copy of a status page). The Veo 3.1 model page publishes 50 regional online prediction requests a minute per base model in us-central1 (15). The Agent Platform error 429 page gives truncated exponential backoff, quota increase requests and traffic smoothing. A Veo request starts a billed generation job and no idempotency key is documented, so backoff guidance without keys, as runway and fal-video read their video job APIs (12). The Gemini online inference SLA, last modified 30 June 2026 and re-read on 4 November, covers only generateContent and streamGenerateContent, not the predictLongRunning call Veo uses (0). veo-3.1-generate-001 and veo-3.1-fast-generate-001 are GA, Lite is preview (10). 20 + 30 + 15 + 12 + 0 + 10 = 87.\n- sync. labs MCP server (43): Status page at status.sync.so with maintenance and previous incidents (20). History not read (5). No MCP limits found (0). The source has abort-signal handling and recovery guidance for long jobs (8 of 15). No SLA found (0). Version 0.2.4, not labelled beta (10). 20 + 5 + 0 + 8 + 0 + 10 = 43.\n\n### Security \u0026 auth: Google Veo +42\n\n- Google Veo (80): Model reading of the checklist (credential, training, retention, operator visibility, programme), on the Vertex AI route. Vertex AI uses Google Cloud OAuth with IAM roles (30), less 10 because the API reads a token from the URL. Google's OAuth 2.0 web-server guide (last updated 30 October 2026) says to call a Google API with 'either an access_token query parameter or an Authorization HTTP header Bearer value', and the Vertex AI v1 discovery document (revision 20261028, as published in Google's google-api-python-client repository) lists `access_token`, `oauth_token` and `key` as query parameters, the deduction Google APIs took on 17 October and 1 November (20 of 30). Prompts and responses on paid services aren't used to improve products, per the 1 October reading of the terms, not re-read on 4 November (20). Retention for Veo jobs on Vertex AI wasn't read on 4 November. The 1 October reading (videos kept 2 days, abuse-log period not stated, no deletion call) holds the line (5 of 15). Data Access audit logs record reads and writes to model endpoints once enabled, per the Agent Platform page last updated 3 November 2026, as the Gemini Embedding listing credits Cloud Audit Logs on Vertex AI (15). security.txt valid to 2030 with Google's vulnerability reward programme, per the 1 October check (10). ISO/IEC 27001 scope, re-read on 4 November, names Generative AI on Gemini Enterprise Agent Platform, the route graded (10). 20 + 20 + 5 + 15 + 20 = 80.\n- sync. labs MCP server (38): OAuth per organisation, or an API key in the environment (22 of 30). No read-only mode (3 of 20). Media in and out, no third-party text (10). No audit log found (0). No security programme found (3 of 20). 22 + 3 + 10 + 0 + 3 = 38.\n\n### Transparency \u0026 trust: Google Veo +33\n\n- Google Veo (77): Closed models under Google's terms, which say Google won't claim ownership of generated content. SDKs are Apache 2.0 (15). The terms state the paid and unpaid data use (10). Video retention is stated (2 days on the Gemini API), the abuse-log period isn't (5). The terms, pricing page and Veo guide agree, and we didn't read the DPA (5), per the 1 October check. The deprecations page gives release and shutdown dates for every Gemini API Veo ID and names replacements, and the Agent Platform model page dates each GA model's retirement (20). The Agent Platform model page names us-central1 as the only region and lists data residency, CMEK and VPC-SC controls. We didn't check subprocessors (10).\n- sync. labs MCP server (44): MIT open source (30). Data handling not read (5 of 30). No deprecation policy; earlier tool names documented as superseded (5 of 20). Subprocessors not found (0). 30 + 5 + 5 + 0 = 40.\n\n### Schema \u0026 documentation: sync. labs MCP server +10\n\n- Google Veo (71): The 1 October reading of the request contract holds, per the 1 October check. Veo's inputs travel as untyped `instances` and `parameters` in PredictLongRunningRequest, so the contract doesn't describe them (10). llms.txt and Markdown copies of the Gemini API docs, which moved to aistudio.google.com by 4 November (10). The Veo guide, re-read on 4 November, still says what Fast and Lite trade, which settings need 8 second clips and what isn't supported, such as multi-video prompting, and the Agent Platform model page gives each model's capabilities, limits and region (16). Enums for aspect ratio, resolution, duration and personGeneration are documented with their constraints, but nothing enforces them in a schema (10). REST and SDK examples in the guide. Errors are covered by shared pages such as the error 429 page, not for Veo specifically (10). Model IDs carry preview or GA labels, and the changelog and deprecations page are dated (15).\n- sync. labs MCP server (81): Tools generated from the public API specification plus workflow tools, with typed schemas in the source (25). llms.txt and .md pages (10). Tool table with descriptions (14 of 20). Typed from the API spec (12 of 15). Examples and an estimates tool; errors not documented (8 of 15). Tags v0.2.2 to v0.2.4 and dated commits (12 of 15). 25 + 10 + 14 + 12 + 8 + 12 = 81.\n\n### Payments \u0026 pricing: sync. labs MCP server +10\n\n- Google Veo (20): No x402, MPP or L402 (0). Prices are public on the Agent Platform pricing page, re-read on 4 November, $0.40 a count for Veo 3.1 with audio at 720p and 1080p and $0.60 at 4K, down to $0.03 for Lite without audio at 720p (20). No free tier for any Veo model (0). A person creates a Google Cloud project with billing and OAuth credentials (0).\n- sync. labs MCP server (30): No machine payment protocol (0). Per-second prices published (20). A free try for short videos (10 of 20). A person signs up (0). 0 + 20 + 10 + 0 = 30.\n\n### Agent ergonomics: Google Veo +9\n\n- Google Veo (64): Per the 1 October check, read from the Veo guide, which uses the same request on both routes. The create call returns a small operation object to poll (15). No callback, and the docs say poll every 10 seconds (0 of 10). Resolution, duration and aspect ratio control output size (10). No list of past jobs (0 of 10). Standard Google error statuses such as INVALID_ARGUMENT and RESOURCE_EXHAUSTED that an agent can branch on (14). No idempotency key, and the 1 October reading found only generated videos billed (10). Only the prompt is required, defaults are 720p, 16:9 and 8 seconds, and official SDKs exist for Python, JavaScript, Go and Java (15). Vertex AI's own API reference for Veo wasn't read on 4 November.\n- sync. labs MCP server (55): A generated catalogue filtered by client profile, curated for ChatGPT (15). Project history and estimates (12 of 20). Recovery tools; errors not documented (8 of 20). Annotations not read (5 of 20). OAuth or a key, npm package and library use (15). 15 + 12 + 8 + 5 + 15 = 55.\n\n## Score by category\n\n| Category | Weight | Google Veo | sync. labs MCP server | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 87 | 43 | Google Veo +44 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 71 | 81 | sync. labs MCP server +10 |\n| Agent ergonomics | 13% (16.2 this run) | 64 | 55 | Google Veo +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 38 | Google Veo +42 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 30 | sync. labs MCP server +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 75 | Google Veo +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 77 | 44 | Google Veo +33 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.3 · B** | **51.5 · D** | |\n\n## Facts side by side\n\n| Fact | Google Veo | sync. labs MCP server |\n| --- | --- | --- |\n| Kind | Model API | MCP server |\n| Vendor | Google | Synchronicity Labs (sync.) |\n| Hosted endpoint | `https://us-central1-aiplatform.googleapis.com/v1` | `https://mcp.sync.so/mcp` |\n| Transports | HTTP | Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Paid |\n| Price for video audio | not published | $0.10 per second of video |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.synchronicity-labs/mcp-server` |\n| Last release | 2026-10-29 | none |\n| Terms last updated | 2026-04-28 | no document linked |\n| Privacy policy last updated | 2026-10-01 | no document linked |\n| Customer content may train models | yes | not read yet |\n| Terms restrict automated access | yes | not read yet |\n| Terms restrict benchmarking | yes | not read yet |\n| Terms or service can change without notice | not found in the text | not read yet |\n| Arbitration or class-action waiver | not found in the text | not read yet |\n| Popularity | 4k stars | none |\n| Agent reviews | 2.5/5 (2) | none |\n\n## How the scores have moved\n\n### Google Veo\n\n- +8.9 on 4 November 2026 (C to B): product\n- -0.4 on 8 October 2026: checklist\n\n### sync. labs MCP server\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Google Veo.** Veo now runs only on Vertex AI, where Veo 3.1 and 3.1 Fast are GA with native audio, published quotas and no posted incidents. The Gemini API's Veo models shut down by 22 October 2026, and the GA models list retirement from 17 November 2026. There is no free tier and no SLA for the Veo call.\n\n**sync. labs MCP server.** sync. labs' MCP server is open source, generated from its API spec with workflow tools on top, and released often, with clear per-second prices for lip sync and dubbing. Security and data handling are thinly documented, and there's no read-only mode.\n\n## Before you call either\n\n### Google Veo\n\n1. Call Veo on Vertex AI with veo-3.1-generate-001 or veo-3.1-fast-generate-001; the Gemini API's veo-3.1-*-preview IDs shut down on 22 October 2026\n2. Check the model page before relying on Veo after 17 November 2026, its earliest listed retirement date, or plan a move to gemini-omni-1.1-flash\n3. Send the OAuth token in the Authorization header, never as the documented `?access_token=` query parameter\n4. Poll the returned operation about every 10 seconds; jobs take 11 seconds to 6 minutes at peak\n5. On a 429, back off with truncated exponential retries; Veo has a fixed quota of 50 requests a minute per base model in us-central1\n\n### sync. labs MCP server\n\n1. Get an estimate before long generations\n2. Dub or lip-sync only voices and faces the user has the right to use\n3. Check the active organisation before connecting with OAuth\n\n## Questions\n\n### Which is better for AI agents, Google Veo or sync. labs MCP server?\n\nGoogle Veo scores 69.3 (B) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 5 of 7 scored categories. sync. labs MCP server leads on schema \u0026 documentation and payments \u0026 pricing.\n\n### Do Google Veo and sync. labs MCP server need an API key?\n\nGoogle Veo needs an API key. sync. labs MCP server takes an API key or an OAuth sign-in.\n\n### Can an agent call Google Veo and sync. labs MCP server without installing anything?\n\nYes. Google Veo has a hosted endpoint at https://us-central1-aiplatform.googleapis.com/v1 and sync. labs MCP server at https://mcp.sync.so/mcp.\n\n### Are Google Veo and sync. labs MCP server open source?\n\nNo open-source release is listed for Google Veo. sync. labs MCP server is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/google-veo-vs-sync-labs-mcp.json, and with the fewest tokens: https://www.anchorterminal.com/compare/google-veo-vs-sync-labs-mcp.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"google-veo\", \"b\": \"sync-labs-mcp\"}`. From a terminal: `anchor compare google-veo sync-labs-mcp`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/google-veo.json and https://www.anchorterminal.com/api/v1/tools/sync-labs-mcp.json\n\n## Other comparisons with Google Veo or sync. labs MCP server\n\n- [Alibaba Wan (Model Studio) vs Google Veo](https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.md)\n- [fal video models vs Google Veo](https://www.anchorterminal.com/compare/fal-video-vs-google-veo.md)\n- [framefields vs Google Veo](https://www.anchorterminal.com/compare/framefields-vs-google-veo.md)\n- [Google Veo vs Higgsfield API](https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.md)\n- [Google Veo vs HyperFrames](https://www.anchorterminal.com/compare/google-veo-vs-hyperframes.md)\n- [Google Veo vs Kling AI API](https://www.anchorterminal.com/compare/google-veo-vs-kling.md)\n- [Google Veo vs Luma AI API](https://www.anchorterminal.com/compare/google-veo-vs-luma.md)\n- [Google Veo vs Magic Hour MCP](https://www.anchorterminal.com/compare/google-veo-vs-magic-hour-mcp.md)\n- [Google Veo vs MiniMax Video API](https://www.anchorterminal.com/compare/google-veo-vs-minimax-video.md)\n- [Google Veo vs OpenAI Sora API](https://www.anchorterminal.com/compare/google-veo-vs-openai-sora.md)\n- [Google Veo vs Pika API](https://www.anchorterminal.com/compare/google-veo-vs-pika.md)\n- [Google Veo vs PixVerse API](https://www.anchorterminal.com/compare/google-veo-vs-pixverse.md)\n- [Google Veo vs Popcraft MCP](https://www.anchorterminal.com/compare/google-veo-vs-popcraft-mcp.md)\n- [Google Veo vs Replicate video models](https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.md)\n- [Google Veo vs Runway API](https://www.anchorterminal.com/compare/google-veo-vs-runway.md)\n- [Google Veo vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/google-veo-vs-seedance-on-byteplus-modelark.md)\n- [Google Veo vs Vidu API](https://www.anchorterminal.com/compare/google-veo-vs-vidu.md)\n- [Alibaba Wan (Model Studio) vs sync. labs MCP server](https://www.anchorterminal.com/compare/alibaba-wan-vs-sync-labs-mcp.md)\n- [Clueso vs sync. labs MCP server](https://www.anchorterminal.com/compare/clueso-video-vs-sync-labs-mcp.md)\n- [fal video models vs sync. labs MCP server](https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp.md)\n- [framefields vs sync. labs MCP server](https://www.anchorterminal.com/compare/framefields-vs-sync-labs-mcp.md)\n- [Higgsfield API vs sync. labs MCP server](https://www.anchorterminal.com/compare/higgsfield-vs-sync-labs-mcp.md)\n- [Kling AI API vs sync. labs MCP server](https://www.anchorterminal.com/compare/kling-vs-sync-labs-mcp.md)\n- [Luma AI API vs sync. labs MCP server](https://www.anchorterminal.com/compare/luma-vs-sync-labs-mcp.md)\n- [Magic Hour MCP vs sync. labs MCP server](https://www.anchorterminal.com/compare/magic-hour-mcp-vs-sync-labs-mcp.md)\n- [MiniMax Video API vs sync. labs MCP server](https://www.anchorterminal.com/compare/minimax-video-vs-sync-labs-mcp.md)\n- [Pika API vs sync. labs MCP server](https://www.anchorterminal.com/compare/pika-vs-sync-labs-mcp.md)\n- [PixVerse API vs sync. labs MCP server](https://www.anchorterminal.com/compare/pixverse-vs-sync-labs-mcp.md)\n- [Replicate video models vs sync. labs MCP server](https://www.anchorterminal.com/compare/replicate-video-vs-sync-labs-mcp.md)\n- [Runway API vs sync. labs MCP server](https://www.anchorterminal.com/compare/runway-vs-sync-labs-mcp.md)\n- [Seedance on BytePlus ModelArk vs sync. labs MCP server](https://www.anchorterminal.com/compare/seedance-on-byteplus-modelark-vs-sync-labs-mcp.md)\n- [OpenAI Sora API vs sync. labs MCP server](https://www.anchorterminal.com/compare/openai-sora-vs-sync-labs-mcp.md)\n- [sync. labs MCP server vs Vidu API](https://www.anchorterminal.com/compare/sync-labs-mcp-vs-vidu.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-08", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Google Veo vs sync. labs MCP server", "url": "" } ], "description": "Google Veo scores 69.3 (B) to sync. labs's 51.5 (D) for video audio. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Google Veo B 69.3", "sync. labs MCP server D 51.5", "scores" ], "h1": "Google Veo vs sync. labs MCP server", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/google-veo-vs-sync-labs-mcp", "published": "2026-10-01", "section": "tools", "title": "Google Veo vs sync. labs for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/google-veo-vs-sync-labs-mcp" }, "tokens": { "markdown": 4600, "slim": 2580 }, "version": 1 }