{
  "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": "2026-10-09T09:26:53.067365056Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 727,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 663,
          "p95ms24h": 736,
          "samples24h": 20,
          "samples30d": 20,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 20,
              "ok": 20
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.hyperbolic.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:58:04.049851546Z"
        },
        "updatedAt": "2026-10-09T09:26:53.067365056Z"
      }
    },
    "answer": "Lambda Cloud scores 50 (D) on agent readiness against Hyperbolic's 48 (D), and leads in 3 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and maintenance \u0026 community.",
    "b": {
      "slug": "lambda",
      "name": "Lambda Cloud",
      "vendor": "Lambda",
      "vendorUrl": "https://lambda.ai",
      "kind": "http-api",
      "category": "gpu-compute",
      "summary": "On-demand GPU virtual machines and clusters, with an API for provisioning compute and persistent storage.",
      "url": "https://www.anchorterminal.com/tools/lambda",
      "markdownUrl": "https://www.anchorterminal.com/tools/lambda.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/lambda.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/lambda.json",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://cloud.lambda.ai/api/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "API key created at cloud.lambda.ai/api-keys and sent as `Authorization: Bearer`. HTTP Basic with the key as the username (`curl -u 'KEY:'`) still works as a legacy option. SSH keys registered in the account are injected into launched instances.",
      "pricing": "usage",
      "pricingNotes": "On-demand, per GPU an hour, Tesla V100 16 GB $0.79, A100 40 GB $1.99, A100 80 GB $2.79, H100 SXM 80 GB $3.99, B200 180 GB $6.69. 1-Click Clusters of HGX B200 are quoted per GPU-hour at $9.86 for 16 GPUs, $9.36 for 64 and $8.87 for 256 or more on two-week to one-year commitments. Instances bill in one-minute increments from the moment they pass health checks until you terminate them, invoiced weekly. Filesystems bill per GB used a month in one-hour increments. No free tier (https://lambda.ai/pricing, https://docs.lambda.ai/public-cloud/billing/).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.lambda.ai/public-cloud/on-demand/",
      "openapi": "https://docs.lambda.ai/api/cloud/spec.json",
      "capabilities": [
        "compute.gpu",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "openapi",
        "enterprise"
      ],
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 50,
        "grade": "D",
        "agentReady": false,
        "rank": 695,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 14,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 5,
          "payments": 20,
          "reliability": 50,
          "schema": 69,
          "security": 60,
          "transparency": 58
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "H100 SXM at $3.99 and B200 at $6.69 an hour with per-minute billing. No scale to zero, autoscaling or endpoints; an idle VM bills until terminated.",
        "bestFor": "Agents or pipelines that need a whole GPU machine with SSH for hours, such as training or batch jobs, and will manage the lifecycle themselves.",
        "strengths": [
          "H100 SXM at $3.99 and B200 at $6.69 an hour with per-minute billing",
          "OpenAPI 3.1 spec with documented error codes, a `suggestion` field and cursor pagination",
          "Audit events endpoint filterable by time and resource type",
          "Published rate limits, one request a second and one launch every 12 seconds",
          "Trust portal with SOC 2 Type 2 and four ISO certifications, and a named subprocessor list"
        ],
        "weaknesses": [
          "No scale to zero, autoscaling or endpoints; an idle VM bills until terminated",
          "Ten status incidents in two months, including a two-day regional outage in August 2026",
          "No changelog, no llms.txt and no official SDK",
          "API keys have no scopes and launch has no idempotency key",
          "security.txt expired on 1 June 2026 and no free tier"
        ],
        "agentNotes": [
          "Call `GET /instance-types` first and read `regions_with_capacity_available` before trying to launch",
          "Space launch calls 12 seconds apart; a sixth in a minute returns 429 with `global/rate-limited`",
          "Branch on the error `code`, not the `message` or `suggestion`, which Lambda says may change",
          "List instances before retrying a failed launch, since there's no idempotency key and a retry can start a second machine",
          "Terminate the instance in a `finally` block; billing runs by the minute until you do"
        ],
        "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": 50
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 5,
          "payments": 20,
          "reliability": 50,
          "schema": 69,
          "security": 60,
          "transparency": 48
        },
        "provenanceScore": 67
      },
      "connect": {
        "http": "curl \"https://cloud.lambda.ai/api/v1/instance-types\" -H \"Authorization: Bearer $LAMBDA_API_KEY\""
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/lambda"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "H100 SXM 80 GB",
          "unit": "gpu-hour",
          "usd": 3.99,
          "note": "Billed per minute"
        },
        {
          "item": "B200 180 GB",
          "unit": "gpu-hour",
          "usd": 6.69
        },
        {
          "item": "A100 SXM 80 GB",
          "unit": "gpu-hour",
          "usd": 2.79
        },
        {
          "item": "A100 SXM 40 GB",
          "unit": "gpu-hour",
          "usd": 1.99
        },
        {
          "item": "Tesla V100 16 GB",
          "unit": "gpu-hour",
          "usd": 0.79
        },
        {
          "item": "HGX B200 1-Click Cluster, 16 GPUs",
          "unit": "gpu-hour",
          "usd": 9.86,
          "note": "Two-week to one-year commitment; $8.87 at 256 GPUs or more"
        }
      ],
      "provenance": {
        "legalEntity": "Lambda, Inc.",
        "domain": "lambda.ai",
        "domainRegistered": "",
        "domainNote": "Lambda moved from lambdalabs.com, registered 2008-05-29, to lambda.ai. The .ai registry's RDAP server rate-limited our lookup of the new domain.",
        "endpointOnVendorDomain": true,
        "terms": "https://lambda.ai/legal/terms-of-service",
        "privacy": "https://lambda.ai/legal/privacy-policy",
        "statusPage": "https://status.lambda.ai",
        "changelog": "",
        "securityTxt": "expired",
        "checked": "2026-09-30",
        "notes": [
          "Terms dated August 2025 and the privacy policy of 1 January 2026 name Lambda, Inc., 2510 Zanker Road, San Jose, California.",
          "The API runs on cloud.lambda.ai, a subdomain of the vendor domain.",
          "security.txt expired 2026-06-01 and has no Policy field.",
          "No public changelog found for the cloud. The OpenAPI spec reports version 1.10.0."
        ],
        "score": 67
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/lambda.json",
      "live": {
        "slug": "lambda",
        "probe": {
          "target": "https://cloud.lambda.ai/api/v1",
          "method": "get",
          "lastAt": "2026-10-09T09:26:54.467619436Z",
          "lastOk": true,
          "lastStatus": 403,
          "lastMs": 685,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 99.95,
          "p50ms24h": 603,
          "p95ms24h": 901,
          "samples24h": 261,
          "samples30d": 2085,
          "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": 271
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 101,
              "ok": 101
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.lambda.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-09T09:25:17.021469615Z"
        },
        "securityTxt": {
          "url": "https://lambda.ai/.well-known/security.txt",
          "state": "expired",
          "expires": "2026-06-01T16:00:00Z",
          "checkedAt": "2026-10-08T15:38:48.494823468Z"
        },
        "domain": {
          "domain": "lambda.ai",
          "registered": "2017-12-16",
          "source": "https://rdap.identitydigital.services/rdap/domain/lambda.ai",
          "checkedAt": "2026-10-04T13:04:37.89683091Z"
        },
        "pages": [
          {
            "url": "https://lambda.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:21:12.626677302Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "ad7e156559d1"
          },
          {
            "url": "https://lambda.ai/legal/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:21:08.557293205Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "921eec75dd83"
          },
          {
            "url": "https://lambda.ai/legal/terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:21:10.609958388Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "40e40aee2e7c"
          }
        ],
        "updatedAt": "2026-10-09T09:26:54.467619436Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Hyperbolic Labs, Inc.",
        "b": "Lambda",
        "name": "Vendor"
      },
      {
        "a": "https://api.hyperbolic.ai",
        "b": "https://cloud.lambda.ai/api/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "not published",
        "b": "$9.86 per GPU-hour",
        "name": "Price for compute gpu"
      },
      {
        "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": "none",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-05",
        "b": "none",
        "name": "Last release"
      },
      {
        "a": "2025-03-24",
        "b": "2025-08-01",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "2026-01-01",
        "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": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Lambda Cloud scores 50 (D) on agent readiness against Hyperbolic's 48 (D), and leads in 3 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and maintenance \u0026 community.",
        "question": "Which is better for AI agents, Hyperbolic or Lambda Cloud?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Hyperbolic and Lambda Cloud need an API key?"
      },
      {
        "answer": "Yes. Hyperbolic has a hosted endpoint at https://api.hyperbolic.ai and Lambda Cloud at https://cloud.lambda.ai/api/v1.",
        "question": "Can an agent call Hyperbolic and Lambda Cloud without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 77 against 69",
          "Maintenance \u0026 community, 42 against 5"
        ],
        "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": [
          "Agent ergonomics, 63 against 55",
          "Security \u0026 auth, 60 against 47",
          "Payments \u0026 pricing, 20 against 15"
        ],
        "also": [
          "No incidents deducted, where Hyperbolic loses 3 points for them"
        ],
        "goodFor": "Agents or pipelines that need a whole GPU machine with SSH for hours, such as training or batch jobs, and will manage the lifecycle themselves.",
        "slug": "lambda",
        "watchFor": "No scale to zero, autoscaling or endpoints; an idle VM bills until terminated"
      }
    ],
    "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-lambda.json",
        "title": "Baseten vs Lambda Cloud",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-lambda"
      },
      {
        "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-lambda.json",
        "title": "Beam vs Lambda Cloud",
        "url": "https://www.anchorterminal.com/compare/beam-vs-lambda"
      },
      {
        "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-lambda.json",
        "title": "Cerebrium vs Lambda Cloud",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-lambda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.json",
        "title": "CoreWeave vs Hyperbolic",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic"
      },
      {
        "json": "https://www.anchorterminal.com/compare/coreweave-vs-lambda.json",
        "title": "CoreWeave vs Lambda Cloud",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-lambda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic.json",
        "title": "Hugging Face Inference Endpoints vs Hyperbolic",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-hyperbolic"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-lambda.json",
        "title": "Hugging Face Inference Endpoints vs Lambda Cloud",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-lambda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.json",
        "title": "Hyperbolic vs Koyeb",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-modal.json",
        "title": "Hyperbolic vs Modal",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.json",
        "title": "Hyperbolic vs Nebius AI Cloud",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-northflank.json",
        "title": "Hyperbolic vs Northflank",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy.json",
        "title": "Hyperbolic vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-runpod.json",
        "title": "Hyperbolic vs Runpod",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-runpod"
      },
      {
        "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-lambda.json",
        "title": "Koyeb vs Lambda Cloud",
        "url": "https://www.anchorterminal.com/compare/koyeb-vs-lambda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-modal.json",
        "title": "Lambda Cloud vs Modal",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-nebius-ai-cloud.json",
        "title": "Lambda Cloud vs Nebius AI Cloud",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-nebius-ai-cloud"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-northflank.json",
        "title": "Lambda Cloud vs Northflank",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-northflank"
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      {
        "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/lambda-vs-runpod.json",
        "title": "Lambda Cloud vs Runpod",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-runpod"
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      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.json",
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        "url": "https://www.anchorterminal.com/compare/lambda-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-vast-ai.json",
        "title": "Lambda Cloud vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-verda.json",
        "title": "Lambda Cloud vs Verda",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-verda"
      }
    ],
    "scores": [
      {
        "by": 2,
        "edge": "hyperbolic",
        "hyperbolic": 52,
        "key": "reliability",
        "lambda": 50,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "edge": "hyperbolic",
        "hyperbolic": 77,
        "key": "schema",
        "lambda": 69,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 8,
        "edge": "lambda",
        "hyperbolic": 55,
        "key": "ergonomics",
        "lambda": 63,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 13,
        "edge": "lambda",
        "hyperbolic": 47,
        "key": "security",
        "lambda": 60,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 5,
        "edge": "lambda",
        "hyperbolic": 15,
        "key": "payments",
        "lambda": 20,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 37,
        "edge": "hyperbolic",
        "hyperbolic": 42,
        "key": "maintenance",
        "lambda": 5,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 3,
        "edge": "hyperbolic",
        "hyperbolic": 61,
        "key": "transparency",
        "lambda": 58,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Lambda Cloud scores 50 (D) on agent readiness against Hyperbolic's 48 (D), and leads in 3 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and maintenance \u0026 community. 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.",
      "lambda": "H100 SXM at $3.99 and B200 at $6.69 an hour with per-minute billing. No scale to zero, autoscaling or endpoints; an idle VM bills until terminated."
    }
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  "markdown": "Lambda Cloud scores 50 (D) on agent readiness against Hyperbolic's 48 (D), and leads in 3 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and maintenance \u0026 community. 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- Lambda Cloud: grade D, 50/100, rank #695 of 842. Markdown https://www.anchorterminal.com/tools/lambda.md · JSON https://www.anchorterminal.com/api/v1/tools/lambda.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- Schema \u0026 documentation, 77 against 69\n- Maintenance \u0026 community, 42 against 5\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### Lambda Cloud (D)\n\nGood for: Agents or pipelines that need a whole GPU machine with SSH for hours, such as training or batch jobs, and will manage the lifecycle themselves.\n\nAhead on:\n- Agent ergonomics, 63 against 55\n- Security \u0026 auth, 60 against 47\n- Payments \u0026 pricing, 20 against 15\n\nAlso in its favour:\n- No incidents deducted, where Hyperbolic loses 3 points for them\n\nWatch for: No scale to zero, autoscaling or endpoints; an idle VM bills until terminated\n\n\n## Score by category\n\n| Category | Weight | Hyperbolic | Lambda Cloud | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 52 | 50 | Hyperbolic +2 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 77 | 69 | Hyperbolic +8 |\n| Agent ergonomics | 13% (16.2 this run) | 55 | 63 | Lambda Cloud +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 60 | Lambda Cloud +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 15 | 20 | Lambda Cloud +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 42 | 5 | Hyperbolic +37 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 61 | 58 | Hyperbolic +3 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **48 · D** | **50 · D** | |\n\n## Facts side by side\n\n| Fact | Hyperbolic | Lambda Cloud |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Hyperbolic Labs, Inc. | Lambda |\n| Hosted endpoint | `https://api.hyperbolic.ai` | `https://cloud.lambda.ai/api/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| Price for compute gpu | not published | $9.86 per GPU-hour |\n| x402 | no | no |\n| Licence | Proprietary service under Hyperbolic's Terms of Service. The unmaintained hyperbolic-mcp repository on GitHub is MIT | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-05 | none |\n| Terms last updated | 2025-03-24 | 2025-08-01 |\n| Privacy policy last updated | no date given | 2026-01-01 |\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 | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\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**Lambda Cloud.** H100 SXM at $3.99 and B200 at $6.69 an hour with per-minute billing. No scale to zero, autoscaling or endpoints; an idle VM bills until terminated.\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### Lambda Cloud\n\n1. Call `GET /instance-types` first and read `regions_with_capacity_available` before trying to launch\n2. Space launch calls 12 seconds apart; a sixth in a minute returns 429 with `global/rate-limited`\n3. Branch on the error `code`, not the `message` or `suggestion`, which Lambda says may change\n4. List instances before retrying a failed launch, since there's no idempotency key and a retry can start a second machine\n5. Terminate the instance in a `finally` block; billing runs by the minute until you do\n\n## Questions\n\n### Which is better for AI agents, Hyperbolic or Lambda Cloud?\n\nLambda Cloud scores 50 (D) on agent readiness against Hyperbolic's 48 (D), and leads in 3 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and maintenance \u0026 community.\n\n### Do Hyperbolic and Lambda Cloud need an API key?\n\nBoth need an API key.\n\n### Can an agent call Hyperbolic and Lambda Cloud without installing anything?\n\nYes. Hyperbolic has a hosted endpoint at https://api.hyperbolic.ai and Lambda Cloud at https://cloud.lambda.ai/api/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hyperbolic-vs-lambda.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hyperbolic-vs-lambda.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hyperbolic\", \"b\": \"lambda\"}`. From a terminal: `anchor compare hyperbolic lambda`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hyperbolic.json and https://www.anchorterminal.com/api/v1/tools/lambda.json\n\n## Other comparisons with Hyperbolic or Lambda Cloud\n\n- [Baseten vs Hyperbolic](https://www.anchorterminal.com/compare/baseten-vs-hyperbolic.md)\n- [Baseten vs Lambda Cloud](https://www.anchorterminal.com/compare/baseten-vs-lambda.md)\n- [Beam vs Hyperbolic](https://www.anchorterminal.com/compare/beam-vs-hyperbolic.md)\n- [Beam vs Lambda Cloud](https://www.anchorterminal.com/compare/beam-vs-lambda.md)\n- [Cerebrium vs Hyperbolic](https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.md)\n- [Cerebrium vs Lambda Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-lambda.md)\n- [CoreWeave vs Hyperbolic](https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.md)\n- [CoreWeave vs Lambda Cloud](https://www.anchorterminal.com/compare/coreweave-vs-lambda.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 Lambda Cloud](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-lambda.md)\n- [Hyperbolic vs Koyeb](https://www.anchorterminal.com/compare/hyperbolic-vs-koyeb.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 Replicate Deployments](https://www.anchorterminal.com/compare/hyperbolic-vs-replicate-deploy.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 Lambda Cloud](https://www.anchorterminal.com/compare/koyeb-vs-lambda.md)\n- [Lambda Cloud vs Modal](https://www.anchorterminal.com/compare/lambda-vs-modal.md)\n- [Lambda Cloud vs Nebius AI Cloud](https://www.anchorterminal.com/compare/lambda-vs-nebius-ai-cloud.md)\n- [Lambda Cloud vs Northflank](https://www.anchorterminal.com/compare/lambda-vs-northflank.md)\n- [Lambda Cloud vs Replicate Deployments](https://www.anchorterminal.com/compare/lambda-vs-replicate-deploy.md)\n- [Lambda Cloud vs Runpod](https://www.anchorterminal.com/compare/lambda-vs-runpod.md)\n- [Lambda Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.md)\n- [Lambda Cloud vs Vast.ai](https://www.anchorterminal.com/compare/lambda-vs-vast-ai.md)\n- [Lambda Cloud vs Verda](https://www.anchorterminal.com/compare/lambda-vs-verda.md)\n",
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    "description": "Lambda Cloud scores 50 (D) on agent readiness against Hyperbolic's 48 (D), and leads in 3 of 7 scored categories. Hyperbolic leads on schema \u0026 documentation and maintenance \u0026 community. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.",
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