{
  "data": {
    "a": {
      "slug": "hyperbolic",
      "name": "Hyperbolic",
      "vendor": "Hyperbolic Labs, Inc.",
      "vendorUrl": "https://www.hyperbolic.ai",
      "kind": "http-api",
      "category": "gpu-compute",
      "summary": "Hyperbolic is a GPU cloud from Hyperbolic Labs that rents H100, H200 and B200 virtual machines and bare-metal nodes by the hour, with reserved terms and private clusters. Agents use its REST API with an API key.",
      "url": "https://www.anchorterminal.com/tools/hyperbolic",
      "markdownUrl": "https://www.anchorterminal.com/tools/hyperbolic.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hyperbolic.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hyperbolic.json",
      "license": "Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.hyperbolic.ai",
      "packages": [],
      "auth": "api-key",
      "authNotes": "Self-serve. A signed-in user creates an API key in the console's settings, and the secret is shown once. Requests send it as `Authorization: Bearer \u003capi-key\u003e`. An account can hold any number of keys and revoke any of them. Keys created inside an Organisation belong to it and are attributed to the member who made them. Members revoke their own keys and admins revoke any. No scopes, read-only keys or expiry were found in the reviewed documentation. `GET /v2/openapi.json`, `GET /v2/on-demand/rental-options` and `GET /v2/on-demand/reserve-options` need no key.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credits, minimum purchase $5 through Stripe, 1 to 1 with dollars and with no expiry. A new account is on the free tier and cannot rent GPUs or storage until it has deposited $5 once. No trial was found, apart from credit codes handed out at events. On-demand rentals bill hourly from the moment an instance is ready, and the balance must cover one hour of all running instances. On 8 October 2026 the open price list showed one H100 virtual machine at $3.19 an hour. Reserved terms of 7, 14 and 30 days take 1, 3 and 5 per cent off and are paid up front. Private Cloud is by contract (https://www.hyperbolic.ai/docs/on-demand/pricing).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs corpus or the OpenAPI document for the GPU API. The archived HyperbolicLabs/hyperbolic-x402 repository covered chat completions on a separate host, not GPU rentals (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://www.hyperbolic.ai/docs/overview/overview",
      "llmsTxt": "https://www.hyperbolic.ai/docs/llms.txt",
      "openapi": "https://api.hyperbolic.ai/v2/openapi.json",
      "capabilities": [
        "compute.gpu"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "openapi",
        "llms-txt",
        "api-key",
        "bare-metal",
        "status-page",
        "prepaid"
      ],
      "lastRelease": "2026-10-05",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 48,
        "grade": "D",
        "agentReady": false,
        "rank": 730,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 15,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 55,
          "maintenance": 42,
          "payments": 15,
          "reliability": 52,
          "schema": 77,
          "security": 47,
          "transparency": 61
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-10-05, removing the `roles` list from the `GET /v2/users/me` response and changing timestamps to RFC 3339 on the v2 API. Both are recorded in the changelog entry for the week they shipped, and no advance notice was found. Documented, so 3 points (https://www.hyperbolic.ai/docs/changelog)."
        ],
        "verdict": "The API serves its own OpenAPI 3.1 document without a key, lists GPU prices on an open endpoint and dates the removal of legacy paths at 1 March 2027. API keys carry no scopes and can delete the account, rental creation has no idempotency key, and renting needs a browser signup and a $5 deposit.",
        "bestFor": "Agents that rent whole H100, H200 or B200 machines or multi-node clusters for training and batch work and that have a funded account.",
        "strengths": [
          "OpenAPI 3.1 document with 65 operations and 53 schemas, served by the API at `GET /v2/openapi.json` with no key",
          "`GET /v2/on-demand/rental-options` returns live GPU configurations and hourly prices in cents with no key",
          "Deprecated paths answer with a `Sunset` header and a stated end date of 1 March 2027, and each names its replacement",
          "Docs index at `/docs/llms.txt`, every page as Markdown and the whole corpus in `llms-full.txt` (188 KB)",
          "Billing starts only when an instance is ready, and instances that fail to provision within about 3 hours are not charged, per the pricing docs"
        ],
        "weaknesses": [
          "API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`",
          "`POST /v2/on-demand/rentals` has no idempotency key, so a retried call can start a second billed rental",
          "No 429 response, `Retry-After` header or backoff guidance was found in the spec or the docs",
          "A free-tier account cannot rent GPUs or storage. Renting needs a one-time deposit of at least $5 through Stripe",
          "The Terms of Service describe a marketplace in which uptime is between buyer and supplier, while the docs state a 99.5 per cent uptime SLA",
          "No official SDK or CLI for the v2 API was found. The vendor's MCP repository last changed in May 2025 and calls the legacy v1 marketplace paths"
        ],
        "agentNotes": [
          "Read `GET /v2/on-demand/rental-options` first. It needs no key and lists what can be rented now, with `costPerHourCents` per GPU configuration.",
          "Send `rentalType` and `gpuCount` to `POST /v2/on-demand/rentals`. Region defaults to `us-central-1` and GPU type to `h100`, so set both from the options list.",
          "List active rentals before retrying a failed create call. There is no idempotency key and every ready rental bills hourly.",
          "Save an SSH public key with `POST /v2/ssh-keys` before renting. Without `sshPublicKeyIds` the newest saved key is attached.",
          "Do not create reserved rentals unless asked. They are paid in full up front and cannot be terminated early."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "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
          }
        ],
        "editorialScores": {
          "ergonomics": 55,
          "maintenance": 42,
          "payments": 15,
          "reliability": 52,
          "schema": 77,
          "security": 47,
          "transparency": 45
        },
        "provenanceScore": 76
      },
      "connect": {
        "http": "curl -X POST https://api.hyperbolic.ai/v2/ssh-keys -H \"Authorization: Bearer $HYPERBOLIC_API_KEY\" -H \"Content-Type: application/json\" -d \"{\\\"publicKey\\\": \\\"$(cat ~/.ssh/id_ed25519.pub)\\\", \\\"name\\\": \\\"Work laptop\\\"}\""
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/hyperbolic"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "H100 SXM5 80 GB virtual machine, on-demand",
          "unit": "gpu-hour",
          "usd": 3.19,
          "note": "The one configuration on the open price list on 8 October 2026 (us-east-1). Reserved terms take 1 to 5 per cent off"
        }
      ],
      "provenance": {
        "legalEntity": "Hyperbolic Labs, Inc.",
        "domain": "hyperbolic.ai",
        "domainRegistered": "2021-10-11",
        "endpointOnVendorDomain": true,
        "terms": "https://www.hyperbolic.ai/terms",
        "privacy": "https://www.hyperbolic.ai/privacy",
        "statusPage": "https://status.hyperbolic.ai",
        "changelog": "https://www.hyperbolic.ai/docs/changelog",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The Terms of Service, last updated 24 March 2025, name Hyperbolic Labs, Inc. as owner and operator of the platform, apply California law and set AAA arbitration. They cover the website and all services, and no separate API or cloud agreement was found.",
          "The Privacy Policy is effective 3 June 2024 and names Hyperbolic Labs, Inc. One clause on business transfers names Babylon three times where the company's own name would be expected.",
          "The API answers at api.hyperbolic.ai, a subdomain of the vendor domain, and on the legacy host api.hyperbolic.xyz.",
          "https://www.hyperbolic.ai/.well-known/security.txt answered 404. The docs ask for vulnerability reports by email to support@hyperbolic.ai.",
          "RDAP for hyperbolic.ai gives a registration date of 2021-10-11."
        ],
        "score": 76
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/hyperbolic.json",
      "live": {
        "slug": "hyperbolic",
        "probe": {
          "target": "https://api.hyperbolic.ai",
          "method": "get",
          "lastAt": "2026-10-09T10:14:17.158516367Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 756,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 663,
          "p95ms24h": 738,
          "samples24h": 28,
          "samples30d": 28,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 28,
              "ok": 28
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.hyperbolic.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:58:04.049851546Z"
        },
        "updatedAt": "2026-10-09T10:14:17.158516367Z"
      }
    },
    "answer": "Replicate Deployments scores 63.6 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on security \u0026 auth.",
    "b": {
      "slug": "replicate-deploy",
      "name": "Replicate Deployments",
      "vendor": "Replicate",
      "vendorUrl": "https://replicate.com",
      "kind": "http-api",
      "category": "gpu-compute",
      "summary": "Replicate's service for deploying and running custom models.",
      "url": "https://www.anchorterminal.com/tools/replicate-deploy",
      "markdownUrl": "https://www.anchorterminal.com/tools/replicate-deploy.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/replicate-deploy.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/replicate-deploy.json",
      "repo": "https://github.com/replicate/cog",
      "license": "Apache-2.0",
      "transports": [
        "http",
        "sse",
        "stdio"
      ],
      "remoteUrl": "https://api.replicate.com/v1",
      "packages": [
        {
          "registry": "npm",
          "name": "replicate"
        },
        {
          "registry": "pypi",
          "name": "replicate"
        },
        {
          "registry": "npm",
          "name": "replicate-mcp"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API token on every call to api.replicate.com. `cog push` uses the same token to upload a model image. The hosted MCP at https://mcp.replicate.com/sse asks for the token in a browser flow and holds it for the client; the local `replicate-mcp` package reads `REPLICATE_API_TOKEN`.",
      "pricing": "usage",
      "pricingNotes": "Private models and deployments bill per second for the whole time an instance is up, set-up and idle included, from prepaid credit or monthly in arrears. CPU $0.000100 a second ($0.36 an hour), T4 $0.000225 ($0.81), L40S $0.000975 ($3.51), A100 80 GB $0.001400 ($5.04), H100 $0.001525 ($5.49), 2x L40S $0.001950 ($7.02), 2x A100 $0.002800 ($10.08). 2x H100 ($10.98), 4x and 8x L40S, A100 and H100 up to $43.92 an hour need a committed-spend contract. Fast-booting fine-tunes bill only while active. Public models bill only active time and not failures (https://replicate.com/pricing, https://replicate.com/docs/topics/billing).",
      "priceSummary": "Pay per use",
      "where": "both",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 9500,
        "npmWeekly": 634116,
        "pypiWeekly": 386704,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://replicate.com/docs/topics/deployments",
      "llmsTxt": "https://replicate.com/docs/llms.txt",
      "openapi": "https://api.replicate.com/openapi.json",
      "capabilities": [
        "compute.gpu",
        "compute.endpoints",
        "compute.serverless",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "async-jobs",
        "webhooks",
        "open-source"
      ],
      "lastRelease": "2026-09-22",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63.6,
        "grade": "B",
        "agentReady": false,
        "rank": 347,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 5,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 68,
          "maintenance": 70,
          "payments": 30,
          "reliability": 75,
          "schema": 85,
          "security": 40,
          "transparency": 78
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "OpenAPI file, llms.txt and an MCP server with a two-tool code mode. Private instances bill set-up and idle time, H100 at $5.49 an hour.",
        "bestFor": "Teams already calling Replicate's public models who want their own model behind the same API, MCP server and webhooks.",
        "strengths": [
          "OpenAPI file, llms.txt and an MCP server with a two-tool code mode",
          "Deployment min and max instances settable over the API, 0 allowed",
          "API prediction data deleted after one hour by default",
          "Published limits, 600 prediction creates and 3,000 other calls a minute",
          "Leaked tokens found on GitHub are disabled automatically"
        ],
        "weaknesses": [
          "Private instances bill set-up and idle time, H100 at $5.49 an hour",
          "API tokens have no scopes, expiry or audit log",
          "Changelog silent since 21 April 2026",
          "Only T4, L40S, A100 and H100, and more than 2 GPUs needs a committed-spend contract",
          "Two September 2026 incidents ran 15 and 20 hours, both marked minor"
        ],
        "agentNotes": [
          "List `GET /v1/hardware` first and use the returned `sku` in the deployment body",
          "Set `min_instances` to 0 for bursty work; a warm H100 bills $5.49 an hour whether called or not",
          "Send `Prefer: wait` on deployment predictions to block instead of polling",
          "Copy outputs within an hour; API prediction data is deleted after that",
          "Wait for the reset time in the 429 body before retrying; prediction creates cap at 600 a minute"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63.6
          }
        ],
        "editorialScores": {
          "ergonomics": 68,
          "maintenance": 70,
          "payments": 30,
          "reliability": 75,
          "schema": 85,
          "security": 40,
          "transparency": 69
        },
        "provenanceScore": 87
      },
      "connect": {
        "install": "pip install cog replicate",
        "http": "curl -X POST \"https://api.replicate.com/v1/deployments/$REPLICATE_OWNER/my-deployment/predictions\" \\\n  -H \"Authorization: Bearer $REPLICATE_API_TOKEN\" -H \"Content-Type: application/json\" -H \"Prefer: wait\" \\\n  -d '{\"input\":{\"prompt\":\"hello\"}}'",
        "claudeCode": "claude mcp add replicate https://mcp.replicate.com/sse --transport sse --scope user",
        "config": {
          "mcpServers": {
            "replicate": {
              "args": [
                "-y",
                "replicate-mcp"
              ],
              "command": "npx",
              "env": {
                "REPLICATE_API_TOKEN": "${REPLICATE_API_TOKEN}"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/replicate-deploy"
      },
      "sameCompany": [
        "replicate-image",
        "replicate-video",
        "replicate-musicgen"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "H100 80 GB",
          "unit": "gpu-hour",
          "usd": 5.49,
          "note": "$0.001525 a second, including set-up and idle"
        },
        {
          "item": "A100 80 GB",
          "unit": "gpu-hour",
          "usd": 5.04,
          "note": "$0.001400 a second"
        },
        {
          "item": "L40S 48 GB",
          "unit": "gpu-hour",
          "usd": 3.51,
          "note": "$0.000975 a second"
        },
        {
          "item": "T4 16 GB",
          "unit": "gpu-hour",
          "usd": 0.81,
          "note": "$0.000225 a second"
        }
      ],
      "provenance": {
        "legalEntity": "Replicate, LLC",
        "domain": "replicate.com",
        "domainRegistered": "1998-05-26",
        "domainNote": "replicate.com was registered in 1998, long before Replicate the company existed.",
        "endpointOnVendorDomain": true,
        "terms": "https://replicate.com/terms",
        "privacy": "https://replicate.com/privacy",
        "statusPage": "https://replicatestatus.com",
        "changelog": "https://replicate.com/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Terms last updated 2026-04-01 name Replicate, LLC as the contracting party.",
          "replicatestatus.com redirects to Cloudflare's status page filtered to Replicate.",
          "Replicate's hosted image and music models are listed separately under image generation and music generation."
        ],
        "score": 87
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/replicate-deploy.json",
      "live": {
        "slug": "replicate-deploy",
        "probe": {
          "target": "https://api.replicate.com/v1",
          "method": "get",
          "lastAt": "2026-10-09T10:14:25.349304844Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 121,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 148,
          "p95ms24h": 325,
          "samples24h": 260,
          "samples30d": 2093,
          "days": [
            {
              "date": "2026-10-01",
              "probes": 109,
              "ok": 109
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 109,
              "ok": 109
            }
          ]
        },
        "vendorStatus": {
          "page": "https://replicatestatus.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:58:28.982306027Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "replicate/cog",
            "version": "v0.23.0",
            "released": "2026-09-22",
            "seenAt": "2026-10-08T16:27:09.246140372Z"
          },
          {
            "registry": "npm",
            "name": "replicate",
            "version": "1.4.0",
            "seenAt": "2026-10-08T16:27:06.602404036Z"
          },
          {
            "registry": "npm",
            "name": "replicate-mcp",
            "version": "0.9.0",
            "seenAt": "2026-10-08T16:27:09.031273281Z"
          },
          {
            "registry": "pypi",
            "name": "replicate",
            "version": "1.0.7",
            "released": "2025-05-27",
            "seenAt": "2026-10-08T16:27:07.620263226Z"
          }
        ],
        "githubStars": 9487,
        "npmWeekly": 704939,
        "pypiWeekly": 356876,
        "securityTxt": {
          "url": "https://replicate.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:00.17768337Z"
        },
        "llmsTxt": {
          "url": "https://replicate.com/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:48.463855942Z"
        },
        "domain": {
          "domain": "replicate.com",
          "registered": "1998-05-26",
          "source": "https://rdap.verisign.com/com/v1/domain/replicate.com",
          "checkedAt": "2026-10-04T13:07:04.742407865Z"
        },
        "pages": [
          {
            "url": "https://replicate.com/changelog",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-08T18:23:40.627013731Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "490f4836aca3"
          },
          {
            "url": "https://replicate.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:43.001722065Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "3f1305f154be"
          },
          {
            "url": "https://replicate.com/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:45.469231625Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "8e299fbc64eb"
          },
          {
            "url": "https://replicate.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:46.848375869Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "ea48efe3382b"
          }
        ],
        "updatedAt": "2026-10-09T10:14:25.349304844Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Hyperbolic Labs, Inc.",
        "b": "Replicate",
        "name": "Vendor"
      },
      {
        "a": "https://api.hyperbolic.ai",
        "b": "https://api.replicate.com/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP, SSE (legacy), stdio",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT",
        "b": "Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-05",
        "b": "2026-09-22",
        "name": "Last release"
      },
      {
        "a": "2025-03-24",
        "b": "2026-04-01",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "2026-04-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "9.5k stars, 634k npm/wk, 387k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Replicate Deployments scores 63.6 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on security \u0026 auth.",
        "question": "Which is better for AI agents, Hyperbolic or Replicate Deployments?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Hyperbolic and Replicate Deployments need an API key?"
      },
      {
        "answer": "Yes. Hyperbolic has a hosted endpoint at https://api.hyperbolic.ai and Replicate Deployments at https://api.replicate.com/v1.",
        "question": "Can an agent call Hyperbolic and Replicate Deployments without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Hyperbolic. Replicate Deployments is open source (Apache-2.0).",
        "question": "Are Hyperbolic and Replicate Deployments open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 47 against 40"
        ],
        "also": null,
        "goodFor": "Agents that rent whole H100, H200 or B200 machines or multi-node clusters for training and batch work and that have a funded account.",
        "slug": "hyperbolic",
        "watchFor": "API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`"
      },
      {
        "aheadOn": [
          "Reliability, 75 against 52",
          "Schema \u0026 documentation, 85 against 77",
          "Agent ergonomics, 68 against 55",
          "Payments \u0026 pricing, 30 against 15",
          "Maintenance \u0026 community, 70 against 42",
          "Transparency \u0026 trust, 78 against 61"
        ],
        "also": [
          "Runs on your own machine",
          "Open source",
          "No incidents deducted, where Hyperbolic loses 3 points for them"
        ],
        "goodFor": "Teams already calling Replicate's public models who want their own model behind the same API, MCP server and webhooks.",
        "slug": "replicate-deploy",
        "watchFor": "Private instances bill set-up and idle time, H100 at $5.49 an hour"
      }
    ],
    "job": {
      "capability": "compute.gpu",
      "name": "Compute gpu"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.json",
        "title": "Baseten vs Hyperbolic",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-hyperbolic"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baseten-vs-replicate-deploy.json",
        "title": "Baseten vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic.json",
        "title": "Beam vs Hyperbolic",
        "url": "https://www.anchorterminal.com/compare/beam-vs-hyperbolic"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-replicate-deploy.json",
        "title": "Beam vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/beam-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.json",
        "title": "Cerebrium vs Hyperbolic",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebrium-vs-replicate-deploy.json",
        "title": "Cerebrium vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.json",
        "title": "CoreWeave vs Hyperbolic",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic"
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      {
        "json": "https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy.json",
        "title": "CoreWeave vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.json",
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      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy.json",
        "title": "Hugging Face Inference Endpoints vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.json",
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        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb"
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      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-lambda.json",
        "title": "Hyperbolic vs Lambda Cloud",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-lambda"
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      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-modal.json",
        "title": "Hyperbolic vs Modal",
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        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.json",
        "title": "Hyperbolic vs Nebius AI Cloud",
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      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-northflank.json",
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      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.json",
        "title": "Hyperbolic vs Runpod",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-runpod"
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      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.json",
        "title": "Hyperbolic vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai.json",
        "title": "Hyperbolic vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-verda.json",
        "title": "Hyperbolic vs Verda",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koyeb-vs-replicate-deploy.json",
        "title": "Koyeb vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/koyeb-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-replicate-deploy.json",
        "title": "Lambda Cloud vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-replicate-deploy.json",
        "title": "Modal vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/modal-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-replicate-deploy.json",
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        "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/northflank-vs-replicate-deploy.json",
        "title": "Northflank vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/northflank-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-runpod.json",
        "title": "Replicate Deployments vs Runpod",
        "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-runpod"
      },
      {
        "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.json",
        "title": "Replicate Deployments vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute"
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      {
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      },
      {
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        "title": "Replicate Deployments vs Verda",
        "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-verda"
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    "scores": [
      {
        "by": 23,
        "edge": "replicate-deploy",
        "hyperbolic": 52,
        "key": "reliability",
        "name": "Reliability",
        "replicate-deploy": 75,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "edge": "replicate-deploy",
        "hyperbolic": 77,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "replicate-deploy": 85,
        "weight": 13
      },
      {
        "by": 13,
        "edge": "replicate-deploy",
        "hyperbolic": 55,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "replicate-deploy": 68,
        "weight": 13
      },
      {
        "by": 7,
        "edge": "hyperbolic",
        "hyperbolic": 47,
        "key": "security",
        "name": "Security \u0026 auth",
        "replicate-deploy": 40,
        "weight": 14
      },
      {
        "by": 15,
        "edge": "replicate-deploy",
        "hyperbolic": 15,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "replicate-deploy": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 28,
        "edge": "replicate-deploy",
        "hyperbolic": 42,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "replicate-deploy": 70,
        "weight": 7
      },
      {
        "by": 17,
        "edge": "replicate-deploy",
        "hyperbolic": 61,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "replicate-deploy": 78,
        "weight": 7
      }
    ],
    "summary": "Replicate Deployments scores 63.6 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on security \u0026 auth. Both do compute gpu.",
    "verdicts": {
      "hyperbolic": "The API serves its own OpenAPI 3.1 document without a key, lists GPU prices on an open endpoint and dates the removal of legacy paths at 1 March 2027. API keys carry no scopes and can delete the account, rental creation has no idempotency key, and renting needs a browser signup and a $5 deposit.",
      "replicate-deploy": "OpenAPI file, llms.txt and an MCP server with a two-tool code mode. Private instances bill set-up and idle time, H100 at $5.49 an hour."
    }
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  "markdown": "Replicate Deployments scores 63.6 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on security \u0026 auth. Both do compute gpu.\n\n- Hyperbolic: grade D, 48/100, rank #730 of 842. Markdown https://www.anchorterminal.com/tools/hyperbolic.md · JSON https://www.anchorterminal.com/api/v1/tools/hyperbolic.json\n- Replicate Deployments: grade B, 63.6/100, rank #347 of 842. Markdown https://www.anchorterminal.com/tools/replicate-deploy.md · JSON https://www.anchorterminal.com/api/v1/tools/replicate-deploy.json\n\n## Which one, for what\n\n### Hyperbolic (D)\n\nGood for: Agents that rent whole H100, H200 or B200 machines or multi-node clusters for training and batch work and that have a funded account.\n\nAhead on:\n- Security \u0026 auth, 47 against 40\n\nWatch for: API keys carry no scopes or expiry in the reviewed documentation, and the same key can call `DELETE /v2/users/me`\n\n### Replicate Deployments (B)\n\nGood for: Teams already calling Replicate's public models who want their own model behind the same API, MCP server and webhooks.\n\nAhead on:\n- Reliability, 75 against 52\n- Schema \u0026 documentation, 85 against 77\n- Agent ergonomics, 68 against 55\n- Payments \u0026 pricing, 30 against 15\n- Maintenance \u0026 community, 70 against 42\n- Transparency \u0026 trust, 78 against 61\n\nAlso in its favour:\n- Runs on your own machine\n- Open source\n- No incidents deducted, where Hyperbolic loses 3 points for them\n\nWatch for: Private instances bill set-up and idle time, H100 at $5.49 an hour\n\n\n## Score by category\n\n| Category | Weight | Hyperbolic | Replicate Deployments | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 52 | 75 | Replicate Deployments +23 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 77 | 85 | Replicate Deployments +8 |\n| Agent ergonomics | 13% (16.2 this run) | 55 | 68 | Replicate Deployments +13 |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 40 | Hyperbolic +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 15 | 30 | Replicate Deployments +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 42 | 70 | Replicate Deployments +28 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 61 | 78 | Replicate Deployments +17 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **48 · D** | **63.6 · B** | |\n\n## Facts side by side\n\n| Fact | Hyperbolic | Replicate Deployments |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Hyperbolic Labs, Inc. | Replicate |\n| Hosted endpoint | `https://api.hyperbolic.ai` | `https://api.replicate.com/v1` |\n| Transports | HTTP | HTTP, SSE (legacy), stdio |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-05 | 2026-09-22 |\n| Terms last updated | 2025-03-24 | 2026-04-01 |\n| Privacy policy last updated | no date given | 2026-04-01 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | yes | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | none | 9.5k stars, 634k npm/wk, 387k PyPI/wk |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\n\n**Hyperbolic.** The API serves its own OpenAPI 3.1 document without a key, lists GPU prices on an open endpoint and dates the removal of legacy paths at 1 March 2027. API keys carry no scopes and can delete the account, rental creation has no idempotency key, and renting needs a browser signup and a $5 deposit.\n\n**Replicate Deployments.** OpenAPI file, llms.txt and an MCP server with a two-tool code mode. Private instances bill set-up and idle time, H100 at $5.49 an hour.\n\n## Before you call either\n\n### Hyperbolic\n\n1. Read `GET /v2/on-demand/rental-options` first. It needs no key and lists what can be rented now, with `costPerHourCents` per GPU configuration.\n2. Send `rentalType` and `gpuCount` to `POST /v2/on-demand/rentals`. Region defaults to `us-central-1` and GPU type to `h100`, so set both from the options list.\n3. List active rentals before retrying a failed create call. There is no idempotency key and every ready rental bills hourly.\n4. Save an SSH public key with `POST /v2/ssh-keys` before renting. Without `sshPublicKeyIds` the newest saved key is attached.\n5. Do not create reserved rentals unless asked. They are paid in full up front and cannot be terminated early.\n\n### Replicate Deployments\n\n1. List `GET /v1/hardware` first and use the returned `sku` in the deployment body\n2. Set `min_instances` to 0 for bursty work; a warm H100 bills $5.49 an hour whether called or not\n3. Send `Prefer: wait` on deployment predictions to block instead of polling\n4. Copy outputs within an hour; API prediction data is deleted after that\n5. Wait for the reset time in the 429 body before retrying; prediction creates cap at 600 a minute\n\n## Questions\n\n### Which is better for AI agents, Hyperbolic or Replicate Deployments?\n\nReplicate Deployments scores 63.6 (B) on agent readiness against Hyperbolic's 48 (D), and leads in 6 of 7 scored categories. Hyperbolic leads on security \u0026 auth.\n\n### Do Hyperbolic and Replicate Deployments need an API key?\n\nBoth need an API key.\n\n### Can an agent call Hyperbolic and Replicate Deployments without installing anything?\n\nYes. Hyperbolic has a hosted endpoint at https://api.hyperbolic.ai and Replicate Deployments at https://api.replicate.com/v1.\n\n### Are Hyperbolic and Replicate Deployments open source?\n\nNo open-source release is listed for Hyperbolic. Replicate Deployments is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hyperbolic\", \"b\": \"replicate-deploy\"}`. From a terminal: `anchor compare hyperbolic replicate-deploy`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hyperbolic.json and https://www.anchorterminal.com/api/v1/tools/replicate-deploy.json\n\n## Other comparisons with Hyperbolic or Replicate Deployments\n\n- [Baseten vs Hyperbolic](https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.md)\n- [Baseten vs Replicate Deployments](https://www.anchorterminal.com/compare/baseten-vs-replicate-deploy.md)\n- [Beam vs Hyperbolic](https://www.anchorterminal.com/compare/beam-vs-hyperbolic.md)\n- [Beam vs Replicate Deployments](https://www.anchorterminal.com/compare/beam-vs-replicate-deploy.md)\n- [Cerebrium vs Hyperbolic](https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.md)\n- [Cerebrium vs Replicate Deployments](https://www.anchorterminal.com/compare/cerebrium-vs-replicate-deploy.md)\n- [CoreWeave vs Hyperbolic](https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.md)\n- [CoreWeave vs Replicate Deployments](https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy.md)\n- [Hugging Face Inference Endpoints vs Hyperbolic](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.md)\n- [Hugging Face Inference Endpoints vs Replicate Deployments](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy.md)\n- [Hyperbolic vs Koyeb](https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.md)\n- [Hyperbolic vs Lambda Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-lambda.md)\n- [Hyperbolic vs Modal](https://www.anchorterminal.com/compare/hyperbolic-vs-modal.md)\n- [Hyperbolic vs Nebius AI Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.md)\n- [Hyperbolic vs Northflank](https://www.anchorterminal.com/compare/hyperbolic-vs-northflank.md)\n- [Hyperbolic vs Runpod](https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.md)\n- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Hyperbolic vs Vast.ai](https://www.anchorterminal.com/compare/hyperbolic-vs-vast-ai.md)\n- [Hyperbolic vs Verda](https://www.anchorterminal.com/compare/hyperbolic-vs-verda.md)\n- [Koyeb vs Replicate Deployments](https://www.anchorterminal.com/compare/koyeb-vs-replicate-deploy.md)\n- [Lambda Cloud vs Replicate Deployments](https://www.anchorterminal.com/compare/lambda-vs-replicate-deploy.md)\n- [Modal vs Replicate Deployments](https://www.anchorterminal.com/compare/modal-vs-replicate-deploy.md)\n- [Nebius AI Cloud vs Replicate Deployments](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-replicate-deploy.md)\n- [Northflank vs Replicate Deployments](https://www.anchorterminal.com/compare/northflank-vs-replicate-deploy.md)\n- [Replicate Deployments vs Runpod](https://www.anchorterminal.com/compare/replicate-deploy-vs-runpod.md)\n- [Replicate Deployments vs Thunder Compute](https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.md)\n- [Replicate Deployments vs Vast.ai](https://www.anchorterminal.com/compare/replicate-deploy-vs-vast-ai.md)\n- [Replicate Deployments vs Verda](https://www.anchorterminal.com/compare/replicate-deploy-vs-verda.md)\n",
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