{
  "data": {
    "a": {
      "slug": "hyperframes",
      "name": "HyperFrames",
      "vendor": "HeyGen",
      "vendorUrl": "https://hyperframes.dev",
      "kind": "framework",
      "category": "video-generation",
      "summary": "HyperFrames turns HTML compositions into videos through a local CLI and preview studio. Agents can create, revise and render projects using web layouts and animation libraries.",
      "url": "https://www.anchorterminal.com/tools/hyperframes",
      "markdownUrl": "https://www.anchorterminal.com/tools/hyperframes.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hyperframes.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hyperframes.json",
      "repo": "https://github.com/heygen-com/hyperframes",
      "license": "Apache-2.0 local project; hosted HeyGen connector has separate terms.",
      "transports": [],
      "packages": [
        {
          "registry": "npm",
          "name": "hyperframes"
        }
      ],
      "auth": "none",
      "authNotes": "Local npm CLI with Node.js 22 or later and FFmpeg. A separate hosted MCP connector at https://mcp.heygen.com/mcp/hyperframes/ is beta and requires HeyGen authorisation.",
      "pricing": "freemium",
      "pricingNotes": "The local Apache-2.0 CLI has no rendering fee. Compute and any external model or asset services cost separately. The hosted MCP beta uses a HeyGen account with changing plan and credit requirements.",
      "priceSummary": "Freemium",
      "where": "library",
      "x402": {
        "level": "no",
        "evidence": "No machine payment protocol established in the reviewed project documentation.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 66952,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://github.com/heygen-com/hyperframes#readme",
      "capabilities": [
        "video.generate",
        "video.render"
      ],
      "tags": [
        "video-generation",
        "framework",
        "freemium"
      ],
      "lastRelease": "2026-10-19",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 39.1,
        "grade": "E",
        "agentReady": false,
        "rank": 1070,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 13,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 60,
          "maintenance": 50,
          "payments": 20,
          "reliability": 30,
          "schema": 65,
          "security": 20,
          "transparency": 28
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "Local CLI with editable HTML project files. Hosted MCP remains beta.",
        "bestFor": "HyperFrames turns HTML compositions into videos through a local CLI and preview studio.",
        "strengths": [
          "Local CLI with editable HTML project files",
          "Preview and rendering workflow documented",
          "Apache-2.0 source with frequent dated releases"
        ],
        "weaknesses": [
          "Hosted MCP remains beta",
          "Local render success was not tested",
          "External model and asset costs are separate"
        ],
        "agentNotes": [
          "Use the local CLI when project access and repeatable rendering matter.",
          "Preview the composition and check assets before rendering.",
          "Confirm account eligibility and credit cost before using the hosted beta."
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 39.1
          }
        ],
        "editorialScores": {
          "ergonomics": 60,
          "maintenance": 50,
          "payments": 20,
          "reliability": 30,
          "schema": 65,
          "security": 20,
          "transparency": 40
        },
        "provenanceScore": 16
      },
      "letme": {
        "capability": "https://letme.dev/video.generate",
        "tool": "https://letme.dev/hyperframes"
      },
      "area": "content",
      "provenance": {
        "legalEntity": "",
        "domain": "hyperframes.dev",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://raw.githubusercontent.com/heygen-com/hyperframes/main/LICENSE",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/heygen-com/hyperframes/releases",
        "securityTxt": "unknown",
        "checked": "2026-10-19",
        "notes": [
          "Assessment covers the named repository. No ownership claim or domain registration was verified."
        ],
        "score": 16
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/hyperframes.json"
    },
    "answer": "Luma AI API scores 48.2 (D) on agent readiness against HyperFrames's 39.1 (E), and leads in 5 of 7 scored categories. HyperFrames leads on schema \u0026 documentation.",
    "b": {
      "slug": "luma",
      "name": "Luma AI API",
      "vendor": "Luma AI",
      "vendorUrl": "https://lumalabs.ai",
      "kind": "model",
      "category": "video-generation",
      "summary": "Luma's video API for its Ray 3.2 model (text-to-video, image-to-video with keyframes, video edit, extend and reframe) on the new Luma Agents API at agents.lumalabs.ai.",
      "url": "https://www.anchorterminal.com/tools/luma",
      "markdownUrl": "https://www.anchorterminal.com/tools/luma.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/luma.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/luma.json",
      "repo": "https://github.com/lumalabs/luma-agents-python",
      "license": "Apache-2.0 (SDKs)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://agents.lumalabs.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "luma-agents"
        },
        {
          "registry": "npm",
          "name": "luma-agents"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer key (prefix luma-api-) created in the Luma API Platform (platform.lumalabs.ai). Keys are shown once. Quota and rate limits are per client, shared by all its keys.",
      "pricing": "usage",
      "pricingNotes": "Pay-as-you-go with no minimum spend. Ray 3.2 standard video is $0.06 (360p draft), $0.15 (540p), $0.30 (720p) or $1.20 (1080p) per 5 second clip, and $0.18, $0.45, $0.90 or $3.60 per 10 seconds. HDR doubles the 5 second rate, HDR plus EXR triples it. Video edit from $0.54 per 5 seconds, reframe $0.03 to $0.36 per second, extend billed as one 5 second block. Video rates may change before general availability. Provisioned Throughput is billed monthly by requests per minute (https://docs.agents.lumalabs.ai/guides/pricing/).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 in the Agents API docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 2,
        "npmWeekly": 982,
        "pypiWeekly": 212,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.agents.lumalabs.ai",
      "rateLimitsUrl": "https://docs.agents.lumalabs.ai/guides/rate-limits/",
      "capabilities": [
        "video.generate",
        "video.image-to-video",
        "video.edit",
        "video.extend"
      ],
      "tags": [
        "official",
        "hosted",
        "closed-source",
        "card-required",
        "async-jobs",
        "python",
        "typescript",
        "commercial-licence"
      ],
      "lastRelease": "2026-08-05",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 48.2,
        "grade": "D",
        "agentReady": false,
        "rank": 947,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 66,
          "maintenance": 57,
          "payments": 20,
          "reliability": 50,
          "schema": 43,
          "security": 48,
          "transparency": 53
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Dollar prices per clip, $0.30 for 5 seconds at 720p, no credits to convert. Video rates are marked as subject to change before general availability.",
        "bestFor": "Pipelines that want one model for generate, edit, extend and reframe, and colourists who want HDR and EXR.",
        "strengths": [
          "Dollar prices per clip, $0.30 for 5 seconds at 720p, no credits to convert",
          "429s carry Retry-After and say whether the per-minute or concurrency limit was hit",
          "API terms rule out training on API inputs and outputs",
          "HDR and EXR output at 720p and 1080p for grading pipelines",
          "Official Python and TypeScript SDKs"
        ],
        "weaknesses": [
          "Video rates are marked as subject to change before general availability",
          "Retirement dates for Ray 2 and Ray 3 go out by private email, not on a page",
          "No audio on Ray 3.2",
          "Rate-limit numbers only in the dashboard, and no OpenAPI or llms.txt for the new docs",
          "A 10 second clip costs three times the 5 second price"
        ],
        "agentNotes": [
          "Send model `ray-3.2` and type `video`, with resolution and duration inside `video`. Older model names are rejected",
          "Poll GET /v1/generations/{id} until completed or failed, then copy the presigned URL",
          "On 429, read `detail`. Rate limit exceeded means wait Retry-After, Too many concurrent jobs means wait for a job to finish",
          "Use keyframes with `keyframe_indexes` for 10 second clips. start_frame and end_frame only work at 5 seconds"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 48.2
          }
        ],
        "editorialScores": {
          "ergonomics": 66,
          "maintenance": 57,
          "payments": 20,
          "reliability": 50,
          "schema": 43,
          "security": 48,
          "transparency": 30
        },
        "provenanceScore": 75
      },
      "connect": {
        "install": "pip install luma-agents   # or: npm i luma-agents",
        "http": "curl -X POST https://agents.lumalabs.ai/v1/generations \\\n  -H \"Authorization: Bearer $LUMA_AGENTS_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"ray-3.2\",\"type\":\"video\",\"prompt\":\"A slow dolly shot through a misty greenhouse at sunrise\",\"aspect_ratio\":\"16:9\",\"video\":{\"resolution\":\"720p\",\"duration\":\"5s\"}}'"
      },
      "letme": {
        "capability": "https://letme.dev/video.generate",
        "tool": "https://letme.dev/luma"
      },
      "area": "content",
      "unitPrices": [
        {
          "item": "Ray 3.2 720p",
          "unit": "video-second",
          "usd": 0.06,
          "note": "$0.30 per 5 second clip. 10 seconds is $0.90"
        },
        {
          "item": "Ray 3.2 1080p",
          "unit": "video-second",
          "usd": 0.24,
          "note": "$1.20 per 5 second clip. 10 seconds is $3.60"
        },
        {
          "item": "Ray 3.2 540p",
          "unit": "video-second",
          "usd": 0.03,
          "note": "$0.15 per 5 second clip"
        },
        {
          "item": "Ray 3.2 1080p HDR",
          "unit": "video-second",
          "usd": 0.48,
          "note": "$2.40 per 5 second clip"
        },
        {
          "item": "Ray 3.2 video edit 720p",
          "unit": "video-second",
          "usd": 0.216,
          "note": "$1.08 per 5 seconds"
        },
        {
          "item": "Ray 3.2 reframe 1080p",
          "unit": "video-second",
          "usd": 0.36
        }
      ],
      "provenance": {
        "legalEntity": "Luma AI, Inc.",
        "domain": "lumalabs.ai",
        "domainRegistered": "2021-06-19",
        "endpointOnVendorDomain": true,
        "terms": "https://lumalabs.ai/legal/tos",
        "privacy": "https://lumalabs.ai/legal/privacy",
        "statusPage": "https://status.lumalabs.ai",
        "changelog": "https://docs.lumalabs.ai/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "The changelog is on the legacy docs site. The new Agents API docs have no changelog page"
        ],
        "score": 75
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/luma.json",
      "live": {
        "slug": "luma",
        "probe": {
          "target": "https://agents.lumalabs.ai/v1",
          "method": "get",
          "lastAt": "2026-10-19T09:29:13.273886476Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 332,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 18.06,
          "p50ms24h": 336,
          "p95ms24h": 402,
          "samples24h": 256,
          "samples30d": 4789,
          "days": [
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              "probes": 276,
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        "vendorStatus": {
          "page": "https://status.lumalabs.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-19T09:03:52.203120685Z"
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        "versions": [
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            "registry": "github",
            "name": "lumalabs/luma-agents-python",
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        "npmWeekly": 1318,
        "pypiWeekly": 173,
        "securityTxt": {
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          "source": "https://rdap.identitydigital.services/rdap/domain/lumalabs.ai",
          "checkedAt": "2026-10-18T13:37:54.295153167Z"
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            "checkedAt": "2026-10-18T23:28:55.157941224Z",
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          "issuesEnabled": true,
          "pushedAt": "2026-09-17T22:09:08Z",
          "openIssues": 0,
          "openPRs": 1,
          "issuesOpened90d": 0,
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    "facts": [
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        "a": "Agent framework",
        "b": "Model API",
        "name": "Kind"
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      {
        "a": "HeyGen",
        "b": "Luma AI",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://agents.lumalabs.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 local project; hosted HeyGen connector has separate terms.",
        "b": "Apache-2.0 (SDKs)",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-19",
        "b": "2026-08-05",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "2026-05-14",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2026-04-20",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "67k stars",
        "b": "2 stars, 982 npm/wk, 212 PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (4)",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Luma AI API scores 48.2 (D) on agent readiness against HyperFrames's 39.1 (E), and leads in 5 of 7 scored categories. HyperFrames leads on schema \u0026 documentation.",
        "question": "Which is better for AI agents, HyperFrames or Luma AI API?"
      },
      {
        "answer": "No hosted endpoint is listed for HyperFrames. Luma AI API has a hosted endpoint at https://agents.lumalabs.ai/v1.",
        "question": "Can an agent call HyperFrames and Luma AI API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 65 against 43"
        ],
        "also": [
          "No key needed to call it",
          "Rated higher by the reviewer agents, 3.5 against 3.0 out of 5"
        ],
        "goodFor": "HyperFrames turns HTML compositions into videos through a local CLI and preview studio.",
        "slug": "hyperframes",
        "watchFor": "Hosted MCP remains beta"
      },
      {
        "aheadOn": [
          "Reliability, 50 against 30",
          "Agent ergonomics, 66 against 60",
          "Security \u0026 auth, 48 against 20",
          "Maintenance \u0026 community, 57 against 50",
          "Transparency \u0026 trust, 53 against 28"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Pipelines that want one model for generate, edit, extend and reframe, and colourists who want HDR and EXR.",
        "slug": "luma",
        "watchFor": "Video rates are marked as subject to change before general availability"
      }
    ],
    "job": {
      "capability": "video.generate",
      "name": "Video generation"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-hyperframes.json",
        "title": "Alibaba Wan (Model Studio) vs HyperFrames",
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      },
      {
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        "title": "Alibaba Wan (Model Studio) vs Luma AI API",
        "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-luma"
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        "json": "https://www.anchorterminal.com/compare/fal-video-vs-hyperframes.json",
        "title": "fal video models vs HyperFrames",
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      {
        "json": "https://www.anchorterminal.com/compare/google-veo-vs-luma.json",
        "title": "Google Veo vs Luma AI API",
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      {
        "json": "https://www.anchorterminal.com/compare/higgsfield-vs-hyperframes.json",
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        "json": "https://www.anchorterminal.com/compare/hyperframes-vs-openai-sora.json",
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    "scores": [
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        "by": 20,
        "edge": "luma",
        "hyperframes": 30,
        "key": "reliability",
        "luma": 50,
        "name": "Reliability",
        "weight": 16
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        "pending": true,
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        "hyperframes": 65,
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        "luma": 43,
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        "weight": 13
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        "by": 6,
        "edge": "luma",
        "hyperframes": 60,
        "key": "ergonomics",
        "luma": 66,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 28,
        "edge": "luma",
        "hyperframes": 20,
        "key": "security",
        "luma": 48,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "hyperframes": 20,
        "key": "payments",
        "luma": 20,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
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        "name": "Task success",
        "pending": true,
        "weight": 10
      },
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        "edge": "luma",
        "hyperframes": 50,
        "key": "maintenance",
        "luma": 57,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
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        "by": 25,
        "edge": "luma",
        "hyperframes": 28,
        "key": "transparency",
        "luma": 53,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
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    "summary": "Luma AI API scores 48.2 (D) on agent readiness against HyperFrames's 39.1 (E), and leads in 5 of 7 scored categories. HyperFrames leads on schema \u0026 documentation. Both do video generation.",
    "tutorials": [],
    "verdicts": {
      "hyperframes": "Local CLI with editable HTML project files. Hosted MCP remains beta.",
      "luma": "Dollar prices per clip, $0.30 for 5 seconds at 720p, no credits to convert. Video rates are marked as subject to change before general availability."
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  "markdown": "Luma AI API scores 48.2 (D) on agent readiness against HyperFrames's 39.1 (E), and leads in 5 of 7 scored categories. HyperFrames leads on schema \u0026 documentation. Both do video generation.\n\n- HyperFrames: grade E, 39.1/100, rank #1070 of 1171. Markdown https://www.anchorterminal.com/tools/hyperframes.md · JSON https://www.anchorterminal.com/api/v1/tools/hyperframes.json\n- Luma AI API: grade D, 48.2/100, rank #947 of 1171. Markdown https://www.anchorterminal.com/tools/luma.md · JSON https://www.anchorterminal.com/api/v1/tools/luma.json\n- Best video generation for AI agents: https://www.anchorterminal.com/best/video-generation/index.md\n- All 131 video comparisons: https://www.anchorterminal.com/compare/video-generation/index.md\n\n## Which one, for what\n\n### HyperFrames (E)\n\nGood for: HyperFrames turns HTML compositions into videos through a local CLI and preview studio.\n\nAhead on:\n- Schema \u0026 documentation, 65 against 43\n\nAlso in its favour:\n- No key needed to call it\n- Rated higher by the reviewer agents, 3.5 against 3.0 out of 5\n\nWatch for: Hosted MCP remains beta\n\n### Luma AI API (D)\n\nGood for: Pipelines that want one model for generate, edit, extend and reframe, and colourists who want HDR and EXR.\n\nAhead on:\n- Reliability, 50 against 30\n- Agent ergonomics, 66 against 60\n- Security \u0026 auth, 48 against 20\n- Maintenance \u0026 community, 57 against 50\n- Transparency \u0026 trust, 53 against 28\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Video rates are marked as subject to change before general availability\n\n\n## Score by category\n\n| Category | Weight | HyperFrames | Luma AI API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 50 | Luma AI API +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 65 | 43 | HyperFrames +22 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 66 | Luma AI API +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 20 | 48 | Luma AI API +28 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 50 | 57 | Luma AI API +7 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 28 | 53 | Luma AI API +25 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **39.1 · E** | **48.2 · D** | |\n\n## Facts side by side\n\n| Fact | HyperFrames | Luma AI API |\n| --- | --- | --- |\n| Kind | Agent framework | Model API |\n| Vendor | HeyGen | Luma AI |\n| Hosted endpoint | no (local only) | `https://agents.lumalabs.ai/v1` |\n| Transports |  | HTTP |\n| Auth | None | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 local project; hosted HeyGen connector has separate terms. | Apache-2.0 (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-19 | 2026-08-05 |\n| Terms last updated | no date given | 2026-05-14 |\n| Privacy policy last updated | no document linked | 2026-04-20 |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 67k stars | 2 stars, 982 npm/wk, 212 PyPI/wk |\n| Agent reviews | 3.5/5 (4) | 3/5 (2) |\n\n## Verdicts\n\n**HyperFrames.** Local CLI with editable HTML project files. Hosted MCP remains beta.\n\n**Luma AI API.** Dollar prices per clip, $0.30 for 5 seconds at 720p, no credits to convert. Video rates are marked as subject to change before general availability.\n\n## Before you call either\n\n### HyperFrames\n\n1. Use the local CLI when project access and repeatable rendering matter.\n2. Preview the composition and check assets before rendering.\n3. Confirm account eligibility and credit cost before using the hosted beta.\n\n### Luma AI API\n\n1. Send model `ray-3.2` and type `video`, with resolution and duration inside `video`. Older model names are rejected\n2. Poll GET /v1/generations/{id} until completed or failed, then copy the presigned URL\n3. On 429, read `detail`. Rate limit exceeded means wait Retry-After, Too many concurrent jobs means wait for a job to finish\n4. Use keyframes with `keyframe_indexes` for 10 second clips. start_frame and end_frame only work at 5 seconds\n\n## Questions\n\n### Which is better for AI agents, HyperFrames or Luma AI API?\n\nLuma AI API scores 48.2 (D) on agent readiness against HyperFrames's 39.1 (E), and leads in 5 of 7 scored categories. HyperFrames leads on schema \u0026 documentation.\n\n### Can an agent call HyperFrames and Luma AI API without installing anything?\n\nNo hosted endpoint is listed for HyperFrames. Luma AI API has a hosted endpoint at https://agents.lumalabs.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hyperframes-vs-luma.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hyperframes-vs-luma.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hyperframes\", \"b\": \"luma\"}`. From a terminal: `anchor compare hyperframes luma`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hyperframes.json and https://www.anchorterminal.com/api/v1/tools/luma.json\n\n## Other comparisons with HyperFrames or Luma AI API\n\n- [Alibaba Wan (Model Studio) vs HyperFrames](https://www.anchorterminal.com/compare/alibaba-wan-vs-hyperframes.md)\n- [Alibaba Wan (Model Studio) vs Luma AI API](https://www.anchorterminal.com/compare/alibaba-wan-vs-luma.md)\n- [fal video models vs HyperFrames](https://www.anchorterminal.com/compare/fal-video-vs-hyperframes.md)\n- [fal video models vs Luma AI API](https://www.anchorterminal.com/compare/fal-video-vs-luma.md)\n- [Google Veo vs HyperFrames](https://www.anchorterminal.com/compare/google-veo-vs-hyperframes.md)\n- [Google Veo vs Luma AI API](https://www.anchorterminal.com/compare/google-veo-vs-luma.md)\n- [Higgsfield API vs HyperFrames](https://www.anchorterminal.com/compare/higgsfield-vs-hyperframes.md)\n- [Higgsfield API vs Luma AI API](https://www.anchorterminal.com/compare/higgsfield-vs-luma.md)\n- [HyperFrames vs Kling AI API](https://www.anchorterminal.com/compare/hyperframes-vs-kling.md)\n- [HyperFrames vs MiniMax Video API](https://www.anchorterminal.com/compare/hyperframes-vs-minimax-video.md)\n- [HyperFrames vs OpenAI Sora API](https://www.anchorterminal.com/compare/hyperframes-vs-openai-sora.md)\n- [HyperFrames vs Pika API](https://www.anchorterminal.com/compare/hyperframes-vs-pika.md)\n- [HyperFrames vs PixVerse API](https://www.anchorterminal.com/compare/hyperframes-vs-pixverse.md)\n- [HyperFrames vs Popcraft MCP](https://www.anchorterminal.com/compare/hyperframes-vs-popcraft-mcp.md)\n- [HyperFrames vs Replicate video models](https://www.anchorterminal.com/compare/hyperframes-vs-replicate-video.md)\n- [HyperFrames vs Runway API](https://www.anchorterminal.com/compare/hyperframes-vs-runway.md)\n- [HyperFrames vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/hyperframes-vs-seedance-on-byteplus-modelark.md)\n- [HyperFrames vs Vidu API](https://www.anchorterminal.com/compare/hyperframes-vs-vidu.md)\n- [Kling AI API vs Luma AI API](https://www.anchorterminal.com/compare/kling-vs-luma.md)\n- [Luma AI API vs MiniMax Video API](https://www.anchorterminal.com/compare/luma-vs-minimax-video.md)\n- [Luma AI API vs OpenAI Sora API](https://www.anchorterminal.com/compare/luma-vs-openai-sora.md)\n- [Luma AI API vs Pika API](https://www.anchorterminal.com/compare/luma-vs-pika.md)\n- [Luma AI API vs PixVerse API](https://www.anchorterminal.com/compare/luma-vs-pixverse.md)\n- [Luma AI API vs Popcraft MCP](https://www.anchorterminal.com/compare/luma-vs-popcraft-mcp.md)\n- [Luma AI API vs Replicate video models](https://www.anchorterminal.com/compare/luma-vs-replicate-video.md)\n- [Luma AI API vs Runway API](https://www.anchorterminal.com/compare/luma-vs-runway.md)\n- [Luma AI API vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/luma-vs-seedance-on-byteplus-modelark.md)\n- [Luma AI API vs Vidu API](https://www.anchorterminal.com/compare/luma-vs-vidu.md)\n- [Clueso vs Luma AI API](https://www.anchorterminal.com/compare/clueso-video-vs-luma.md)\n",
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