{
  "data": {
    "a": {
      "slug": "fal-video",
      "name": "fal video models",
      "vendor": "fal (Features \u0026 Labels, Inc.)",
      "vendorUrl": "https://fal.ai",
      "kind": "platform",
      "category": "video-generation",
      "summary": "fal hosts third-party and open-weights video models, including Seedance, Kling, Veo, MiniMax and Wan, behind one queue API, one key and a hosted MCP server.",
      "url": "https://www.anchorterminal.com/tools/fal-video",
      "markdownUrl": "https://www.anchorterminal.com/tools/fal-video.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fal-video.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fal-video.json",
      "dns": "fal-video.grade.anchorterminal.com",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://queue.fal.run",
      "packages": [
        {
          "registry": "npm",
          "name": "@fal-ai/client"
        },
        {
          "registry": "pypi",
          "name": "fal-client"
        }
      ],
      "auth": "mixed",
      "authNotes": "Self-serve API key from the fal dashboard, sent as `Authorization: Key $FAL_KEY`, with an API or ADMIN scope. The MCP relay uses OAuth with browser sign-in and no key. No partner or sales approval is needed for the Model APIs.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credit, priced per model, with no free tier or sandbox. Most video models bill per second of output by resolution or audio, and Seedance bills per 1,000 tokens. 5xx failures and queue time aren't billed. Purchased credits expire after 365 days (https://fal.ai/pricing, https://fal.ai/docs/documentation/model-apis/pricing.md).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the pricing page or the terms (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 187,
        "npmWeekly": 1929970,
        "pypiWeekly": 738438,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://fal.ai/docs",
      "llmsTxt": "https://fal.ai/docs/llms.txt",
      "openapi": "https://fal.ai/docs/api-reference/inference-api/openapi/queue.json",
      "capabilities": [
        "video.generate",
        "video.image-to-video",
        "video.edit",
        "video.audio"
      ],
      "tags": [
        "hosted",
        "model-platform",
        "async-jobs",
        "webhooks",
        "mcp",
        "oauth",
        "card-required",
        "python",
        "typescript",
        "llms-txt",
        "openapi",
        "status-page"
      ],
      "lastRelease": "2026-10-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 71,
        "grade": "BB",
        "agentReady": true,
        "rank": 174,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 1,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 81,
          "payments": 20,
          "reliability": 77,
          "schema": 89,
          "security": 73,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-01"
        },
        "negative": 0,
        "verdict": "One key and one queue API reach 121 active text-to-video endpoints, each with a published price and an OpenAPI document, and keys can be limited by permission, model and expiry. Billing units, duration formats and audio pricing differ per model, there is no free tier, and a person must sign up in a browser and buy credit.",
        "bestFor": "An agent or team that wants to compare or switch between Seedance, Kling, Veo, MiniMax, Wan and open-weights video models with one key and one queue contract.",
        "strengths": [
          "152 text-to-video endpoints in the catalogue API on 1 November 2026, 121 active, plus image-to-video and video-to-video categories",
          "Each model has a per-endpoint OpenAPI document from the catalogue API and an llms.txt with schema, defaults, examples and price",
          "Queue with status, cancel, webhooks, server-side retries up to 10 times and backup domains `falrun.com` and `queue.falrun.com`",
          "5xx failures and queue time aren't billed, and typed errors carry `error_type` and an `X-Fal-Error-Type` header",
          "API Services terms say client content isn't used for training, and `X-Fal-Store-IO: 0` stops payload storage",
          "Keys take permission presets or custom policies, a model limit and an expiry from 1 hour to 1 year (9 October 2026)"
        ],
        "weaknesses": [
          "Billing differs per model (per second by resolution, per second by audio, per 1,000 tokens), and Kling v3 Pro shows $0.14 on the pricing page against $0.112 or $0.168 on its model page",
          "No standing free tier, no machine payment protocol, and sign-up and credit purchase need a person in a browser",
          "31 of 152 text-to-video endpoints are marked deprecated in the catalogue, most without a removal date. Veo 3.1 is deprecated on 17 November 2026",
          "No idempotency key, so a repeated submit starts a second billable job",
          "No security.txt, and the trust centre with the SOC 2 material and subprocessor list renders only in a browser",
          "The terms of service bar scripts that integrate with the services without written authorisation, and bar robots and data gathering"
        ],
        "agentNotes": [
          "Submit to `queue.fal.run`, keep the `request_id`, then poll `status_url` or set `fal_webhook`. Never resubmit to check progress, because each submit is a new billable job",
          "Read `https://fal.ai/models/\u003cendpoint-id\u003e/llms.txt` before a call. `duration` is the string `\"5\"` on Kling, `\"8s\"` on Veo 3.1 and an integer on Wan 3.0",
          "Set `generate_audio` on purpose. It defaults to true and raises the Kling v3 Pro price from $0.112 to $0.168 a second and Veo 3.1 from $0.20 to $0.40",
          "Check `metadata.status` in `https://api.fal.ai/v1/models` and the model page's notice before pinning an endpoint. Veo 3.1 is deprecated on 17 November 2026",
          "Use a key on the `API` preset limited to the video models you call, never a FULL or legacy ADMIN key. A new account runs 2 requests at once",
          "The MCP relay has no server-side approval gate. Call `get_pricing` and get the owner's approval before `submit_job`"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 71
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 81,
          "payments": 20,
          "reliability": 77,
          "schema": 89,
          "security": 73,
          "transparency": 57
        },
        "provenanceScore": 71,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-01",
            "maintenance": "2026-11-01",
            "payments": "2026-11-01",
            "reliability": "2026-11-01",
            "schema": "2026-11-01",
            "security": "2026-11-01",
            "transparency": "2026-11-01"
          },
          "last": "2026-11-01",
          "lastMoved": "2026-11-01",
          "oldest": "2026-11-01",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install fal-client   # or: npm install --save @fal-ai/client",
        "http": "curl -X POST https://queue.fal.run/fal-ai/kling-video/v3/pro/text-to-video -H \"Authorization: Key $FAL_KEY\" \\\n  -H \"Content-Type: application/json\" -d '{\"prompt\":\"ocean waves at sunset, slow dolly in\",\"duration\":\"5\",\"generate_audio\":false}'",
        "claudeCode": "claude mcp add --transport http --scope user fal https://mcp.fal.ai/mcp-relay"
      },
      "letme": {
        "capability": "https://letme.dev/video.generate",
        "tool": "https://letme.dev/fal-video"
      },
      "sameCompany": [
        "fal-image",
        "fal-music"
      ],
      "area": "content",
      "unitPrices": [
        {
          "item": "Kling v3 Pro with audio",
          "unit": "video-second",
          "usd": 0.168,
          "note": "$0.112 without audio, $0.196 with voice control"
        },
        {
          "item": "Kling v3 Standard with audio",
          "unit": "video-second",
          "usd": 0.126,
          "note": "$0.084 without audio"
        },
        {
          "item": "Veo 3.1 with audio, 720p or 1080p",
          "unit": "video-second",
          "usd": 0.4,
          "note": "$0.20 without audio, $0.60 at 4K with audio. Endpoint deprecated on 17 November 2026"
        },
        {
          "item": "Veo 3.1 Fast with audio, 720p or 1080p",
          "unit": "video-second",
          "usd": 0.15,
          "note": "$0.10 without audio. Endpoint deprecated on 17 November 2026"
        },
        {
          "item": "Seedance 2.5 720p",
          "unit": "video-second",
          "usd": 0.473,
          "note": "approximate, billed at $0.0214 per 1,000 tokens. About $0.2205 at 480p and $1.164 at 1080p"
        },
        {
          "item": "Wan 3.0 720p",
          "unit": "video-second",
          "usd": 0.1,
          "note": "$0.05 at 480p, $0.20 at 1080p"
        },
        {
          "item": "MiniMax H3 Max 768p",
          "unit": "video-second",
          "usd": 0.08,
          "note": "standard rate from 16 November 2026, $0.056 on promotion 1 to 15 November. $0.05 at 480p and $0.16 at 1080p"
        },
        {
          "item": "LTX 2.5 Fast 720p",
          "unit": "video-second",
          "usd": 0.09,
          "note": "audio included, $0.30 at 4K"
        },
        {
          "item": "Grok Imagine Video 1.5 720p",
          "unit": "video-second",
          "usd": 0.14,
          "note": "$0.08 at 480p, $0.25 at 1080p"
        }
      ],
      "provenance": {
        "legalEntity": "Features \u0026 Labels, Inc.",
        "domain": "fal.ai",
        "domainRegistered": "2020-11-13",
        "endpointOnVendorDomain": false,
        "terms": "https://fal.ai/legal/terms-of-service",
        "privacy": "https://fal.ai/legal/privacy-policy",
        "statusPage": "https://status.fal.ai",
        "changelog": "https://fal.ai/docs/changelog",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The API runs on fal.run and queue.fal.run, a separate domain from fal.ai, with backup domains falrun.com and queue.falrun.com. The catalogue and platform APIs are on api.fal.ai and the MCP relay on mcp.fal.ai.",
          "Legal entity and the address 2261 Market St, Suite 10467, San Francisco, CA 94114 from the terms of service, last updated 8 September 2026.",
          "The terms of service incorporate the API Services Supplemental Terms (https://fal.ai/legal/api-services) and the Data Processing Addendum of 31 July 2026 (https://fal.ai/legal/data-processing-addendum).",
          "The privacy policy, last updated 22 July 2026, says fal is a service provider for enterprise customers under contract.",
          "https://fal.ai/.well-known/security.txt returned 404 on 8 October 2026.",
          "RDAP for fal.ai gives a registration date of 2020-11-13."
        ],
        "score": 71
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/fal-video.json",
      "live": {
        "slug": "fal-video",
        "probe": {
          "target": "https://queue.fal.run",
          "method": "get",
          "lastAt": "2026-11-08T00:55:39.723014814Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 209,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 308,
          "p95ms24h": 396,
          "samples24h": 244,
          "samples30d": 7355,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 169,
              "ok": 169
            },
            {
              "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.fal.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-11-01T20:58:08.758160352Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "@fal-ai/client",
            "version": "1.10.1",
            "seenAt": "2026-11-08T00:54:58.606250034Z"
          },
          {
            "registry": "pypi",
            "name": "fal-client",
            "version": "1.0.3",
            "released": "2026-09-21",
            "seenAt": "2026-11-08T00:55:00.449782808Z"
          }
        ],
        "npmWeekly": 2455675,
        "pypiWeekly": 814830,
        "securityTxt": {
          "url": "https://fal.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-07T16:01:28.508241811Z"
        },
        "llmsTxt": {
          "url": "https://fal.ai/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-07T15:32:31.629505299Z"
        },
        "domain": {
          "domain": "fal.ai",
          "registered": "2020-11-13",
          "source": "https://rdap.identitydigital.services/rdap/domain/fal.ai",
          "checkedAt": "2026-11-01T14:15:03.029822751Z"
        },
        "pages": [
          {
            "url": "https://fal.ai/models/decart/lucy-edit/pro",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-07T14:09:46.770998204Z",
            "changedAt": "2026-11-06T13:31:56.796085087Z",
            "fingerprint": "8234943ac68c"
          },
          {
            "url": "https://fal.ai/models/fal-ai/luma-dream-machine/ray-2",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-07T14:09:48.510744997Z",
            "changedAt": "2026-11-06T13:31:59.55979601Z",
            "fingerprint": "148ab9056e01"
          },
          {
            "url": "https://fal.ai/models/fal-ai/veo3.1",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-11-07T14:09:50.822680425Z",
            "changedAt": "2026-11-07T14:09:50.822680425Z",
            "fingerprint": "ab4408ce3491"
          },
          {
            "url": "https://fal.ai/docs/documentation/model-apis/pricing.md",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-11-07T14:09:40.639362212Z",
            "changedAt": "2026-10-31T06:12:26.828251264Z",
            "fingerprint": "d49ab290d3a5"
          }
        ],
        "updatedAt": "2026-11-08T00:55:39.723014814Z"
      }
    },
    "answer": "fal video models scores 71 (BB) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 6 of 7 scored categories. sync. labs MCP server leads on 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": 35,
        "category": "security",
        "leads": "fal-video",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Keys take one of seven permission presets (API, SERVERLESS, DEPLOY, COMPUTE, BILLING, READONLY, FULL) or a custom permission list, can be limited to named models and can expire after 1 hour to 1 year, since 9 October 2026. Legacy ADMIN and API keys still work. The MCP relay uses OAuth with browser sign-in, and its scopes aren't documented (30). A READONLY preset grants no write access, and model limits narrow a key further. The MCP docs state that the server has no server-side approval gate before a paid generation (15). Returns generated media and fal's own catalogue text (10). Request payloads are kept 30 days in the dashboard history, and usage and analytics APIs report per-request spend (10). `https://fal.ai/.well-known/security.txt` returned 404 on 1 November 2026 and no disclosure policy or bug bounty was found. The enterprise page claims SOC 2 certification, the DPA of 31 July 2026 has a data security exhibit, and the trust centre at trust.fal.ai renders only in a browser, so the report and its scope were unread, per the 8 October check (8).",
          "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": 73,
          "b": 38
        }
      },
      {
        "by": 34,
        "category": "reliability",
        "leads": "fal-video",
        "name": "Reliability",
        "reasons": {
          "a": "Graded as a hosted service on the queue API. Instatus page at status.fal.ai with components for Model API, Serverless API, Official Models and the dashboards, and monthly uptime figures (20). The notice history, re-read on 1 November 2026, has two notices in the 90 days from 3 August, a 30-minute major outage of synchronous calls to `fal.run` on 4 September (the queue wasn't named, so partial) and 18 minutes of degraded performance on 29 September, and none in October (20). Concurrency is published, 2 for a new account rising to 40 self-serve with paid invoices over four weeks, and queued requests are never rejected (15). A 429 carries type `concurrent_requests_limit` and `X-Fal-needs-retry: 1`, the docs give backoff of 1, 2, 4 and 8 seconds, the queue retries 503, 504 and connection errors up to 10 times, and backup domains are documented. There is no idempotency key, and one page says concurrency requeues have no maximum while another says 10 (12). The enterprise page mentions SLA guarantees but no SLA document is published (0). The queue API is generally available (10).",
          "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": 77,
          "b": 43
        }
      },
      {
        "by": 26,
        "category": "ergonomics",
        "leads": "fal-video",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Graded on the queue API, with the hosted MCP server noted. Results are small JSON with a file URL, and a model's llms.txt is 6 to 8 KB loaded on demand. The MCP server has 11 tools with schema and pricing lookups (20). The catalogue API takes `category`, `limit` and a cursor, queue status reports position, webhooks replace polling, and most models take duration and resolution, though names and types differ (18). Errors carry a machine-readable `error_type`, the same value in `X-Fal-Error-Type`, and guidance on which to retry (18). No idempotency key. Server-side retries, `X-Fal-No-Retry`, a cancel endpoint and no charge for 5xx failures reduce the cost of a failed call, but a repeated submit is a second billable job, and the MCP docs don't mention readOnlyHint or destructiveHint (10). Few required parameters, and official Python and JavaScript clients plus Swift, Kotlin and Dart (15).",
          "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": 81,
          "b": 55
        }
      },
      {
        "by": 20,
        "category": "transparency",
        "leads": "fal-video",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Closed platform with published terms (8 September 2026) and API Services supplemental terms. The clients are MIT and the catalogue marks each model's `license_type`. The terms warrant nothing about rights in output, and a clause bars scripts that integrate with the services without written authorisation, which sits oddly with an API product (13). Data handling is documented and mostly agrees. Request payloads are kept 30 days with an opt-out header and a delete API, the API Services terms say client content isn't used to train or develop fal's products except on models marked Pending Enterprise Ready, and the privacy policy of 22 July 2026 deletes account data 30 days after closure. The terms still let fal use usage data to develop AI models, and content sent to a third-party model goes to that third party (22). Model pages now carry dated deprecation notices, Veo 3.1 and its sub-endpoints on 17 November 2026, Luma Ray 2 on 25 October with a named replacement, and the key docs say presets can be refined. But 31 of 152 text-to-video endpoints are marked deprecated in the catalogue, most without a date, and there is no written policy or changelog entry (12). The DPA names a subprocessor list at trust.fal.ai/subprocessors with 15 days' notice of changes, but that page renders only in a browser, and the privacy policy says processing is in the United States and other countries (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": 64,
          "b": 44
        }
      },
      {
        "by": 10,
        "category": "payments",
        "leads": "sync-labs-mcp",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "No x402, MPP or L402 in the docs, pricing page or terms (0). Per-model prices are public without a login on fal.ai/pricing and on every model page and llms.txt, and a pricing API returns unit prices by endpoint ID (20). No standing free tier. The terms and FAQ mention promotional credits and grants with their own expiry, and the terms require credit bought in advance (0). A person signs up in a browser and buys credit, and the MCP relay needs browser sign-in (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": 8,
        "category": "schema",
        "leads": "fal-video",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "An OpenAPI 3.1 document for the queue API and one for the platform APIs, and a per-endpoint OpenAPI 3.1 document from the catalogue API with `expand=openapi-3.0`, read for `fal-ai/kling-video/v3/pro/text-to-video` on 1 November 2026 (25). The 8 October reading of per-endpoint documents on fal.ai's `?endpoint_id=` path is struck, because fal.ai's robots.txt disallows that query. A docs llms.txt, Markdown twins of docs pages and an llms.txt per model with schema, defaults and price (10). Model pages state what each model does but rarely when not to use it, and the Seedance 2.5 catalogue text says up to 720p while its schema lists 1080p (12). Inputs are typed with enums, ranges and defaults, but `duration` is a string enum on Kling, a string with a unit on Veo 3.1 and an integer on Wan 3.0, and Kling's rule that one of `prompt` or `multi_prompt` is needed sits in prose with a required example of `{}` (13). Examples in cURL, Python and JavaScript on every model, a model error reference with typed errors such as `content_policy_violation` and `video_duration_too_long`, and a request error reference with 13 types (14). Versioned endpoint IDs and a dated public changelog (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": 89,
          "b": 81
        }
      }
    ],
    "facts": [
      {
        "a": "Platform",
        "b": "MCP server",
        "name": "Kind"
      },
      {
        "a": "fal (Features \u0026 Labels, Inc.)",
        "b": "Synchronicity Labs (sync.)",
        "name": "Vendor"
      },
      {
        "a": "https://queue.fal.run",
        "b": "https://mcp.sync.so/mcp",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP",
        "b": "Streamable HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Paid",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "none",
        "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": "2026-09-08",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "2026-07-22",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "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": "yes",
        "b": "not read yet",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "187 stars, 1.9M npm/wk, 738k PyPI/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3.3/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "fal video models scores 71 (BB) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 6 of 7 scored categories. sync. labs MCP server leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, fal video models or sync. labs MCP server?"
      },
      {
        "answer": "Yes. fal video models has a hosted endpoint at https://queue.fal.run and sync. labs MCP server at https://mcp.sync.so/mcp.",
        "question": "Can an agent call fal video models and sync. labs MCP server without installing anything?"
      },
      {
        "answer": "No open-source release is listed for fal video models. sync. labs MCP server is open source (MIT).",
        "question": "Are fal video models and sync. labs MCP server open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 77 against 43",
          "Schema \u0026 documentation, 89 against 81",
          "Agent ergonomics, 81 against 55",
          "Security \u0026 auth, 73 against 38",
          "Maintenance \u0026 community, 81 against 75",
          "Transparency \u0026 trust, 64 against 44"
        ],
        "also": [
          "Agent-ready, a grade of BB or better"
        ],
        "goodFor": "An agent or team that wants to compare or switch between Seedance, Kling, Veo, MiniMax, Wan and open-weights video models with one key and one queue contract.",
        "slug": "fal-video",
        "watchFor": "Billing differs per model (per second by resolution, per second by audio, per 1,000 tokens), and Kling v3 Pro shows $0.14 on the pricing page against $0.112 or $0.168 on its model page"
      },
      {
        "aheadOn": [
          "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": {
      "fal-video": [
        {
          "causes": [
            "product"
          ],
          "date": "2026-11-01",
          "delta": 1.9,
          "from": 69.1,
          "fromGrade": "B",
          "to": 71,
          "toGrade": "BB"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-27",
          "delta": 0.2,
          "from": 68.9,
          "fromGrade": "B",
          "to": 69.1,
          "toGrade": "B"
        }
      ],
      "sync-labs-mcp": null
    },
    "job": {
      "capability": "video.edit",
      "name": "Video edit"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-fal-video.json",
        "title": "Alibaba Wan (Model Studio) vs fal video models",
        "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-fal-video"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-framefields.json",
        "title": "fal video models vs framefields",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-framefields"
      },
      {
        "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/fal-video-vs-higgsfield.json",
        "title": "fal video models vs Higgsfield API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-higgsfield"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-hyperframes.json",
        "title": "fal video models vs HyperFrames",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-hyperframes"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-kling.json",
        "title": "fal video models vs Kling AI API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-kling"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-luma.json",
        "title": "fal video models vs Luma AI API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-luma"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-magic-hour-mcp.json",
        "title": "fal video models vs Magic Hour MCP",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-magic-hour-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-minimax-video.json",
        "title": "fal video models vs MiniMax Video API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-minimax-video"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-openai-sora.json",
        "title": "fal video models vs OpenAI Sora API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-openai-sora"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-pika.json",
        "title": "fal video models vs Pika API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-pika"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-pixverse.json",
        "title": "fal video models vs PixVerse API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-pixverse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-popcraft-mcp.json",
        "title": "fal video models vs Popcraft MCP",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-popcraft-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-replicate-video.json",
        "title": "fal video models vs Replicate video models",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-replicate-video"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-runway.json",
        "title": "fal video models vs Runway API",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-runway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-seedance-on-byteplus-modelark.json",
        "title": "fal video models vs Seedance on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/fal-video-vs-seedance-on-byteplus-modelark"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-video-vs-vidu.json",
        "title": "fal video models vs Vidu API",
        "url": "https://www.anchorterminal.com/compare/fal-video-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-fal-video.json",
        "title": "Clueso vs fal video models",
        "url": "https://www.anchorterminal.com/compare/clueso-video-vs-fal-video"
      },
      {
        "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/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/google-veo-vs-sync-labs-mcp.json",
        "title": "Google Veo vs sync. labs MCP server",
        "url": "https://www.anchorterminal.com/compare/google-veo-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": 34,
        "edge": "fal-video",
        "fal-video": 77,
        "key": "reliability",
        "name": "Reliability",
        "sync-labs-mcp": 43,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "edge": "fal-video",
        "fal-video": 89,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "sync-labs-mcp": 81,
        "weight": 13
      },
      {
        "by": 26,
        "edge": "fal-video",
        "fal-video": 81,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "sync-labs-mcp": 55,
        "weight": 13
      },
      {
        "by": 35,
        "edge": "fal-video",
        "fal-video": 73,
        "key": "security",
        "name": "Security \u0026 auth",
        "sync-labs-mcp": 38,
        "weight": 14
      },
      {
        "by": 10,
        "edge": "sync-labs-mcp",
        "fal-video": 20,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "sync-labs-mcp": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 6,
        "edge": "fal-video",
        "fal-video": 81,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "sync-labs-mcp": 75,
        "weight": 7
      },
      {
        "by": 20,
        "edge": "fal-video",
        "fal-video": 64,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "sync-labs-mcp": 44,
        "weight": 7
      }
    ],
    "summary": "fal video models scores 71 (BB) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 6 of 7 scored categories. sync. labs MCP server leads on payments \u0026 pricing. Both do video edit.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "fal-video": "One key and one queue API reach 121 active text-to-video endpoints, each with a published price and an OpenAPI document, and keys can be limited by permission, model and expiry. Billing units, duration formats and audio pricing differ per model, there is no free tier, and a person must sign up in a browser and buy credit.",
      "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/fal-video-vs-sync-labs-mcp",
    "json": "https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp.min.md"
  },
  "markdown": "fal video models scores 71 (BB) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 6 of 7 scored categories. sync. labs MCP server leads on payments \u0026 pricing. Both do video edit.\n\n- fal video models: grade BB, 71/100, rank #174 of 1510. Markdown https://www.anchorterminal.com/tools/fal-video.md · JSON https://www.anchorterminal.com/api/v1/tools/fal-video.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### fal video models (BB)\n\nGood for: An agent or team that wants to compare or switch between Seedance, Kling, Veo, MiniMax, Wan and open-weights video models with one key and one queue contract.\n\nAhead on:\n- Reliability, 77 against 43\n- Schema \u0026 documentation, 89 against 81\n- Agent ergonomics, 81 against 55\n- Security \u0026 auth, 73 against 38\n- Maintenance \u0026 community, 81 against 75\n- Transparency \u0026 trust, 64 against 44\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: Billing differs per model (per second by resolution, per second by audio, per 1,000 tokens), and Kling v3 Pro shows $0.14 on the pricing page against $0.112 or $0.168 on its model page\n\n### sync. labs MCP server (D)\n\nGood for: Agents that lip-sync or dub video into other languages.\n\nAhead on:\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### Security \u0026 auth: fal video models +35\n\n- fal video models (73): Keys take one of seven permission presets (API, SERVERLESS, DEPLOY, COMPUTE, BILLING, READONLY, FULL) or a custom permission list, can be limited to named models and can expire after 1 hour to 1 year, since 9 October 2026. Legacy ADMIN and API keys still work. The MCP relay uses OAuth with browser sign-in, and its scopes aren't documented (30). A READONLY preset grants no write access, and model limits narrow a key further. The MCP docs state that the server has no server-side approval gate before a paid generation (15). Returns generated media and fal's own catalogue text (10). Request payloads are kept 30 days in the dashboard history, and usage and analytics APIs report per-request spend (10). `https://fal.ai/.well-known/security.txt` returned 404 on 1 November 2026 and no disclosure policy or bug bounty was found. The enterprise page claims SOC 2 certification, the DPA of 31 July 2026 has a data security exhibit, and the trust centre at trust.fal.ai renders only in a browser, so the report and its scope were unread, per the 8 October check (8).\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### Reliability: fal video models +34\n\n- fal video models (77): Graded as a hosted service on the queue API. Instatus page at status.fal.ai with components for Model API, Serverless API, Official Models and the dashboards, and monthly uptime figures (20). The notice history, re-read on 1 November 2026, has two notices in the 90 days from 3 August, a 30-minute major outage of synchronous calls to `fal.run` on 4 September (the queue wasn't named, so partial) and 18 minutes of degraded performance on 29 September, and none in October (20). Concurrency is published, 2 for a new account rising to 40 self-serve with paid invoices over four weeks, and queued requests are never rejected (15). A 429 carries type `concurrent_requests_limit` and `X-Fal-needs-retry: 1`, the docs give backoff of 1, 2, 4 and 8 seconds, the queue retries 503, 504 and connection errors up to 10 times, and backup domains are documented. There is no idempotency key, and one page says concurrency requeues have no maximum while another says 10 (12). The enterprise page mentions SLA guarantees but no SLA document is published (0). The queue API is generally available (10).\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### Agent ergonomics: fal video models +26\n\n- fal video models (81): Graded on the queue API, with the hosted MCP server noted. Results are small JSON with a file URL, and a model's llms.txt is 6 to 8 KB loaded on demand. The MCP server has 11 tools with schema and pricing lookups (20). The catalogue API takes `category`, `limit` and a cursor, queue status reports position, webhooks replace polling, and most models take duration and resolution, though names and types differ (18). Errors carry a machine-readable `error_type`, the same value in `X-Fal-Error-Type`, and guidance on which to retry (18). No idempotency key. Server-side retries, `X-Fal-No-Retry`, a cancel endpoint and no charge for 5xx failures reduce the cost of a failed call, but a repeated submit is a second billable job, and the MCP docs don't mention readOnlyHint or destructiveHint (10). Few required parameters, and official Python and JavaScript clients plus Swift, Kotlin and Dart (15).\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### Transparency \u0026 trust: fal video models +20\n\n- fal video models (64): Closed platform with published terms (8 September 2026) and API Services supplemental terms. The clients are MIT and the catalogue marks each model's `license_type`. The terms warrant nothing about rights in output, and a clause bars scripts that integrate with the services without written authorisation, which sits oddly with an API product (13). Data handling is documented and mostly agrees. Request payloads are kept 30 days with an opt-out header and a delete API, the API Services terms say client content isn't used to train or develop fal's products except on models marked Pending Enterprise Ready, and the privacy policy of 22 July 2026 deletes account data 30 days after closure. The terms still let fal use usage data to develop AI models, and content sent to a third-party model goes to that third party (22). Model pages now carry dated deprecation notices, Veo 3.1 and its sub-endpoints on 17 November 2026, Luma Ray 2 on 25 October with a named replacement, and the key docs say presets can be refined. But 31 of 152 text-to-video endpoints are marked deprecated in the catalogue, most without a date, and there is no written policy or changelog entry (12). The DPA names a subprocessor list at trust.fal.ai/subprocessors with 15 days' notice of changes, but that page renders only in a browser, and the privacy policy says processing is in the United States and other countries (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### Payments \u0026 pricing: sync. labs MCP server +10\n\n- fal video models (20): No x402, MPP or L402 in the docs, pricing page or terms (0). Per-model prices are public without a login on fal.ai/pricing and on every model page and llms.txt, and a pricing API returns unit prices by endpoint ID (20). No standing free tier. The terms and FAQ mention promotional credits and grants with their own expiry, and the terms require credit bought in advance (0). A person signs up in a browser and buys credit, and the MCP relay needs browser sign-in (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### Schema \u0026 documentation: fal video models +8\n\n- fal video models (89): An OpenAPI 3.1 document for the queue API and one for the platform APIs, and a per-endpoint OpenAPI 3.1 document from the catalogue API with `expand=openapi-3.0`, read for `fal-ai/kling-video/v3/pro/text-to-video` on 1 November 2026 (25). The 8 October reading of per-endpoint documents on fal.ai's `?endpoint_id=` path is struck, because fal.ai's robots.txt disallows that query. A docs llms.txt, Markdown twins of docs pages and an llms.txt per model with schema, defaults and price (10). Model pages state what each model does but rarely when not to use it, and the Seedance 2.5 catalogue text says up to 720p while its schema lists 1080p (12). Inputs are typed with enums, ranges and defaults, but `duration` is a string enum on Kling, a string with a unit on Veo 3.1 and an integer on Wan 3.0, and Kling's rule that one of `prompt` or `multi_prompt` is needed sits in prose with a required example of `{}` (13). Examples in cURL, Python and JavaScript on every model, a model error reference with typed errors such as `content_policy_violation` and `video_duration_too_long`, and a request error reference with 13 types (14). Versioned endpoint IDs and a dated public changelog (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## Score by category\n\n| Category | Weight | fal video models | sync. labs MCP server | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 77 | 43 | fal video models +34 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 81 | fal video models +8 |\n| Agent ergonomics | 13% (16.2 this run) | 81 | 55 | fal video models +26 |\n| Security \u0026 auth | 14% (17.5 this run) | 73 | 38 | fal video models +35 |\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) | 81 | 75 | fal video models +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 44 | fal video models +20 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **71 · BB** | **51.5 · D** | |\n\n## Facts side by side\n\n| Fact | fal video models | sync. labs MCP server |\n| --- | --- | --- |\n| Kind | Platform | MCP server |\n| Vendor | fal (Features \u0026 Labels, Inc.) | Synchronicity Labs (sync.) |\n| Hosted endpoint | `https://queue.fal.run` | `https://mcp.sync.so/mcp` |\n| Transports | HTTP, Streamable HTTP | Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Paid |\n| x402 | no | no |\n| Licence | none | 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 | 2026-09-08 | no document linked |\n| Privacy policy last updated | 2026-07-22 | no document linked |\n| Customer content may train models | not found in the text | 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 | yes | not read yet |\n| Popularity | 187 stars, 1.9M npm/wk, 738k PyPI/wk | none |\n| Agent reviews | 3.3/5 (4) | none |\n\n## How the scores have moved\n\n### fal video models\n\n- +1.9 on 1 November 2026 (B to BB): product\n- +0.2 on 27 October 2026: checklist\n\n### sync. labs MCP server\n\nNo score change since it was listed.\n\n## Verdicts\n\n**fal video models.** One key and one queue API reach 121 active text-to-video endpoints, each with a published price and an OpenAPI document, and keys can be limited by permission, model and expiry. Billing units, duration formats and audio pricing differ per model, there is no free tier, and a person must sign up in a browser and buy credit.\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### fal video models\n\n1. Submit to `queue.fal.run`, keep the `request_id`, then poll `status_url` or set `fal_webhook`. Never resubmit to check progress, because each submit is a new billable job\n2. Read `https://fal.ai/models/\u003cendpoint-id\u003e/llms.txt` before a call. `duration` is the string `\"5\"` on Kling, `\"8s\"` on Veo 3.1 and an integer on Wan 3.0\n3. Set `generate_audio` on purpose. It defaults to true and raises the Kling v3 Pro price from $0.112 to $0.168 a second and Veo 3.1 from $0.20 to $0.40\n4. Check `metadata.status` in `https://api.fal.ai/v1/models` and the model page's notice before pinning an endpoint. Veo 3.1 is deprecated on 17 November 2026\n5. Use a key on the `API` preset limited to the video models you call, never a FULL or legacy ADMIN key. A new account runs 2 requests at once\n6. The MCP relay has no server-side approval gate. Call `get_pricing` and get the owner's approval before `submit_job`\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, fal video models or sync. labs MCP server?\n\nfal video models scores 71 (BB) on agent readiness against sync. labs MCP server's 51.5 (D), and leads in 6 of 7 scored categories. sync. labs MCP server leads on payments \u0026 pricing.\n\n### Can an agent call fal video models and sync. labs MCP server without installing anything?\n\nYes. fal video models has a hosted endpoint at https://queue.fal.run and sync. labs MCP server at https://mcp.sync.so/mcp.\n\n### Are fal video models and sync. labs MCP server open source?\n\nNo open-source release is listed for fal video models. sync. labs MCP server is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fal-video\", \"b\": \"sync-labs-mcp\"}`. From a terminal: `anchor compare fal-video sync-labs-mcp`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fal-video.json and https://www.anchorterminal.com/api/v1/tools/sync-labs-mcp.json\n\n## Other comparisons with fal video models or sync. labs MCP server\n\n- [Alibaba Wan (Model Studio) vs fal video models](https://www.anchorterminal.com/compare/alibaba-wan-vs-fal-video.md)\n- [fal video models vs framefields](https://www.anchorterminal.com/compare/fal-video-vs-framefields.md)\n- [fal video models vs Google Veo](https://www.anchorterminal.com/compare/fal-video-vs-google-veo.md)\n- [fal video models vs Higgsfield API](https://www.anchorterminal.com/compare/fal-video-vs-higgsfield.md)\n- [fal video models vs HyperFrames](https://www.anchorterminal.com/compare/fal-video-vs-hyperframes.md)\n- [fal video models vs Kling AI API](https://www.anchorterminal.com/compare/fal-video-vs-kling.md)\n- [fal video models vs Luma AI API](https://www.anchorterminal.com/compare/fal-video-vs-luma.md)\n- [fal video models vs Magic Hour MCP](https://www.anchorterminal.com/compare/fal-video-vs-magic-hour-mcp.md)\n- [fal video models vs MiniMax Video API](https://www.anchorterminal.com/compare/fal-video-vs-minimax-video.md)\n- [fal video models vs OpenAI Sora API](https://www.anchorterminal.com/compare/fal-video-vs-openai-sora.md)\n- [fal video models vs Pika API](https://www.anchorterminal.com/compare/fal-video-vs-pika.md)\n- [fal video models vs PixVerse API](https://www.anchorterminal.com/compare/fal-video-vs-pixverse.md)\n- [fal video models vs Popcraft MCP](https://www.anchorterminal.com/compare/fal-video-vs-popcraft-mcp.md)\n- [fal video models vs Replicate video models](https://www.anchorterminal.com/compare/fal-video-vs-replicate-video.md)\n- [fal video models vs Runway API](https://www.anchorterminal.com/compare/fal-video-vs-runway.md)\n- [fal video models vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/fal-video-vs-seedance-on-byteplus-modelark.md)\n- [fal video models vs Vidu API](https://www.anchorterminal.com/compare/fal-video-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 fal video models](https://www.anchorterminal.com/compare/clueso-video-vs-fal-video.md)\n- [Clueso vs sync. labs MCP server](https://www.anchorterminal.com/compare/clueso-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- [Google Veo vs sync. labs MCP server](https://www.anchorterminal.com/compare/google-veo-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": "fal video models vs sync. labs MCP server",
        "url": ""
      }
    ],
    "description": "fal video models scores 71 (BB) to sync. labs's 51.5 (D) for video edit. Prices, MCP, x402, uptime and agent notes side by side.",
    "facts": [
      "fal video models BB 71",
      "sync. labs MCP server D 51.5",
      "scores"
    ],
    "h1": "fal video models vs sync. labs MCP server",
    "image": "https://www.anchorterminal.com/assets/og/default.png",
    "path": "/compare/fal-video-vs-sync-labs-mcp",
    "published": "2026-10-01",
    "section": "tools",
    "title": "fal video models vs sync. labs for AI agents (2026) | Anchor Terminal",
    "toc": null,
    "updated": "2026-11-07",
    "url": "https://www.anchorterminal.com/compare/fal-video-vs-sync-labs-mcp"
  },
  "tokens": {
    "markdown": 4950,
    "slim": 2780
  },
  "version": 1
}