{
  "data": {
    "a": {
      "slug": "cerebrium",
      "name": "Cerebrium",
      "vendor": "Cerebrium Inc.",
      "vendorUrl": "https://www.cerebrium.ai",
      "kind": "platform",
      "category": "gpu-compute",
      "summary": "Cerebrium is a serverless platform for running your own models and code on GPUs and CPUs. A CLI packages code into containers served as REST, streaming and WebSocket endpoints, managed through a REST API.",
      "url": "https://www.anchorterminal.com/tools/cerebrium",
      "markdownUrl": "https://www.anchorterminal.com/tools/cerebrium.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cerebrium.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cerebrium.json",
      "repo": "https://github.com/CerebriumAI/cerebrium",
      "license": "Proprietary service under Cerebrium's terms of service. The CLI is MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://rest.cerebrium.ai",
      "packages": [
        {
          "registry": "pypi",
          "name": "cerebrium"
        }
      ],
      "auth": "api-key",
      "authNotes": "Two credentials. A service account token, created in the dashboard or over the API with an expiry of up to one year and a list of granted projects, authenticates the CLI (`CEREBRIUM_SERVICE_ACCOUNT_TOKEN`) and the management API at rest.cerebrium.ai as `Authorization: Bearer`. A project API key (a JWT) authenticates calls to deployed endpoints, and only when `cerebrium.toml` sets `disable_auth = false`. Signup and `cerebrium login` are browser flows.",
      "pricing": "freemium",
      "pricingNotes": "Hobby plan is $0 a month plus compute, Standard $100 a month plus compute, Enterprise on request. GPU, CPU and memory bill per second, from T4 at $0.000164 a second ($0.59 an hour) to H100 at $0.000944 ($3.40) and B200 at $0.00167 ($6.01). CPU $0.00000655 a vCPU-second, memory $0.00000222 a GB-second, storage $0.05 a GB-month after 100 GB free. Listed rates are for the default interruptible tier, and `protected` compute costs twice as much. Cold-start time is free, builds and model initialisation are billed. An account can start on Hobby without a contract. The pricing page does not say whether a card is needed or state a free compute allowance (https://www.cerebrium.ai/pricing, https://cerebrium.ai/docs/calculating-cost).",
      "priceSummary": "$0.0236 / vCPU-hr",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the OpenAPI spec or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": 920,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://cerebrium.ai/docs",
      "llmsTxt": "https://cerebrium.ai/docs/llms.txt",
      "openapi": "https://s3.eu-west-1.amazonaws.com/www.cerebrium.ai/openapi_spec.json",
      "capabilities": [
        "compute.gpu",
        "compute.serverless",
        "compute.endpoints",
        "compute.batch",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "freemium",
        "serverless",
        "gpu",
        "cli",
        "openapi",
        "llms-txt",
        "python",
        "async-jobs",
        "multi-region",
        "status-page",
        "soc2",
        "hipaa"
      ],
      "lastRelease": "2026-09-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 55.3,
        "grade": "C",
        "agentReady": false,
        "rank": 593,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 12,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 49,
          "maintenance": 75,
          "payments": 30,
          "reliability": 48,
          "schema": 70,
          "security": 60,
          "transparency": 63
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "Per-second GPU prices are public, a 94-operation OpenAPI spec covers the management API, and service account tokens expire and are limited to named projects. Deployed endpoints are callable without a token unless `disable_auth = false` is set, and no request rate limits, 429 handling or SLA were found in the reviewed documentation.",
        "bestFor": "Teams serving their own models as real-time endpoints (voice, LLM, image) who want per-second billing, multi-region placement and a scriptable management API.",
        "strengths": [
          "Per-second prices for ten GPU types published without a login, from T4 at $0.59 an hour to B200 at $6.01",
          "Public OpenAPI 3.0 spec for the management API at rest.cerebrium.ai, with 94 operations, plus llms.txt and Markdown docs",
          "Service account tokens carry an expiry of up to one year and a list of 1 to 50 granted projects",
          "Audit log of 22 actions with actor, IP address and outcome, readable over the API on Standard and Enterprise",
          "Status page with 11 components and 90 days of incident history, and five CLI releases between 7 August and 16 September 2026"
        ],
        "weaknesses": [
          "`disable_auth` defaults to true, so a deployed endpoint answers without a token unless the owner changes it",
          "No request rate limits, 429 guidance, idempotency keys or SLA found in the reviewed documentation",
          "Several multi-hour degradations of the Inference API between 15 July and 2 September 2026, and a 10-minute outage on 21 July",
          "No deprecation policy, platform changelog or public subprocessor list found",
          "The CLI stores tokens in plaintext in `~/.cerebrium/config.yaml` with mode 0644, per its own SECURITY.md"
        ],
        "agentNotes": [
          "Set `disable_auth = false` in `cerebrium.toml` before deploying. The default leaves the endpoint callable by anyone with the URL",
          "Authenticate headless with `CEREBRIUM_SERVICE_ACCOUNT_TOKEN`. `cerebrium login` opens a browser",
          "Raise `response_grace_period` for long work. It defaults to 15 minutes and async runs stop at 12 hours",
          "Send `?async=true` to get a `run_id` with HTTP 202, and add `webhookEndpoint` because async calls return no result to the caller",
          "Check the plan before choosing hardware. A100, H100, H200, B200 and RTX PRO 6000 need Standard, and `protected` compute bills at twice the listed rate"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 55.3
          }
        ],
        "editorialScores": {
          "ergonomics": 49,
          "maintenance": 75,
          "payments": 30,
          "reliability": 48,
          "schema": 70,
          "security": 60,
          "transparency": 45
        },
        "provenanceScore": 80
      },
      "connect": {
        "install": "pip install cerebrium \u0026\u0026 cerebrium login",
        "http": "curl --location --request POST 'https://api.cerebrium.ai/v4/p-xxxxxxxx/{app-name}/{function}' \\\n  --header 'Authorization: Bearer \u003cJWT_TOKEN\u003e' \\\n  --header 'Content-Type: application/json' \\\n  --data '{\"function_param\": \"data\"}'"
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/cerebrium"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "B200 180 GB",
          "unit": "gpu-hour",
          "usd": 6.01,
          "note": "$0.00167 a second, interruptible tier"
        },
        {
          "item": "H200 141 GB",
          "unit": "gpu-hour",
          "usd": 4.2,
          "note": "$0.001166 a second, interruptible tier"
        },
        {
          "item": "H100 80 GB",
          "unit": "gpu-hour",
          "usd": 3.4,
          "note": "$0.000944 a second, interruptible tier"
        },
        {
          "item": "RTX PRO 6000 96 GB",
          "unit": "gpu-hour",
          "usd": 2.5,
          "note": "$0.000694 a second, interruptible tier"
        },
        {
          "item": "A100 80 GB",
          "unit": "gpu-hour",
          "usd": 2.1,
          "note": "$0.000583 a second, interruptible tier"
        },
        {
          "item": "A100 40 GB",
          "unit": "gpu-hour",
          "usd": 2,
          "note": "$0.000555 a second, interruptible tier"
        },
        {
          "item": "L40s 48 GB",
          "unit": "gpu-hour",
          "usd": 1.95,
          "note": "$0.000542 a second, interruptible tier"
        },
        {
          "item": "A10 24 GB",
          "unit": "gpu-hour",
          "usd": 1.1,
          "note": "$0.000306 a second, interruptible tier"
        },
        {
          "item": "L4 24 GB",
          "unit": "gpu-hour",
          "usd": 0.8,
          "note": "$0.000222 a second, interruptible tier"
        },
        {
          "item": "T4 16 GB",
          "unit": "gpu-hour",
          "usd": 0.59,
          "note": "$0.000164 a second, interruptible tier"
        },
        {
          "item": "CPU-only compute",
          "unit": "vcpu-hour",
          "usd": 0.0236,
          "note": "$0.00000655 a vCPU-second, memory extra at $0.00000222 a GB-second"
        },
        {
          "item": "Persistent storage",
          "unit": "gb-month",
          "usd": 0.05,
          "note": "First 100 GB free"
        },
        {
          "item": "Standard plan",
          "unit": "month",
          "usd": 100,
          "note": "Plus compute"
        }
      ],
      "provenance": {
        "legalEntity": "Cerebrium Inc.",
        "domain": "cerebrium.ai",
        "domainRegistered": "2021-06-11",
        "endpointOnVendorDomain": true,
        "terms": "https://www.cerebrium.ai/terms-of-service",
        "privacy": "https://www.cerebrium.ai/privacy",
        "statusPage": "https://status.cerebrium.ai",
        "changelog": "https://github.com/CerebriumAI/cerebrium/releases",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The terms of service name Cerebrium Inc and say they are governed by the laws of the United Kingdom. The privacy policy names Cerebrium Inc. as data controller at 251 Little Falls Drive, Wilmington, Delaware.",
          "The terms of service are the only terms Cerebrium publishes. They cover accounts, subscriptions and the Service, and the OpenAPI spec names them as the API's licence. Neither document states a date.",
          "Deployed endpoints answer at api.cerebrium.ai and the management API at rest.cerebrium.ai. The OpenAPI file is served from an AWS S3 bucket.",
          "cerebrium.ai/.well-known/security.txt and cerebrium.ai/security.txt returned 404 on 8 October 2026. The CLI repository's SECURITY.md and the docs give security@cerebrium.ai.",
          "The changelog link is the CLI's GitHub releases. No platform changelog was found. Domain registration date from RDAP."
        ],
        "score": 80
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cerebrium.json",
      "live": {
        "slug": "cerebrium",
        "probe": {
          "target": "https://rest.cerebrium.ai",
          "method": "get",
          "lastAt": "2026-10-09T09:26:46.224986366Z",
          "lastOk": true,
          "lastStatus": 403,
          "lastMs": 269,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 252,
          "p95ms24h": 273,
          "samples24h": 171,
          "samples30d": 171,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 70,
              "ok": 70
            },
            {
              "date": "2026-10-09",
              "probes": 101,
              "ok": 101
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.cerebrium.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:57:41.246107011Z"
        },
        "pages": [
          {
            "url": "https://www.cerebrium.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:26:57.20274404Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "be1ada48db42"
          },
          {
            "url": "https://www.cerebrium.ai/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:26:59.281048683Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "017a8d228768"
          },
          {
            "url": "https://www.cerebrium.ai/terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:27:01.554163635Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "a99804810a11"
          }
        ],
        "updatedAt": "2026-10-09T09:26:46.224986366Z"
      }
    },
    "answer": "Verda scores 62.3 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments \u0026 pricing.",
    "b": {
      "slug": "verda",
      "name": "Verda",
      "vendor": "Verda",
      "vendorUrl": "https://verda.com",
      "kind": "http-api",
      "category": "gpu-compute",
      "summary": "Verda, formerly DataCrunch, is a Finnish GPU cloud renting GPU and CPU instances, clusters, serverless containers and storage. Agents use its REST API, Python and Go SDKs, or a CLI with a built-in MCP server in beta.",
      "url": "https://www.anchorterminal.com/tools/verda",
      "markdownUrl": "https://www.anchorterminal.com/tools/verda.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/verda.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/verda.json",
      "repo": "https://github.com/verda-cloud/verda-cli",
      "license": "Proprietary service under Verda's Terms of Service. The CLI, the Python SDK and the Go SDK on GitHub are Apache-2.0",
      "transports": [
        "http",
        "stdio"
      ],
      "remoteUrl": "https://api.verda.com/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "verda"
        },
        {
          "registry": "go",
          "name": "github.com/verda-cloud/verdacloud-sdk-go"
        }
      ],
      "auth": "oauth",
      "authNotes": "Self-serve. A signed-in user creates a Client ID and Client Secret on the console's Credentials page, and the secret is shown once. `POST /v1/oauth2/token` with the client credentials grant returns an access token valid for 3,600 seconds and a refresh token, both with the scope `cloud-api-v1`. Credentials belong to the member who created them and are deleted when that member leaves the project. The CLI and its MCP server read the same pair from `~/.verda/credentials` after `verda auth login`. A few catalogue endpoints such as `GET /v1/instance-types` need no token.",
      "pricing": "usage",
      "pricingNotes": "No free tier or trial. Accounts are prepaid by card or bank transfer, and Pay As You Go is charged in prepaid 10-minute increments with the unused part refunded. On-demand prices per GPU an hour on 8 October 2026 include H100 80 GB at $3.89, H200 at $5.07, B200 at $7.34 and A100 80 GB at $1.87, with spot at about half. Reserved terms take 2 to 25 per cent off. Serverless containers bill per minute of replica use. Free credits are granted only for approved blog posts or videos (https://verda.com/pricing).",
      "priceSummary": "Pay per use",
      "where": "both",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs corpus, the OpenAPI document or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": 18,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": 10461,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.verda.com",
      "llmsTxt": "https://docs.verda.com/llms.txt",
      "openapi": "https://api.verda.com/v1/openapi.json",
      "capabilities": [
        "compute.gpu",
        "compute.serverless",
        "compute.endpoints",
        "compute.batch",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "openapi",
        "llms-txt",
        "mcp",
        "cli",
        "oauth",
        "python",
        "go",
        "terraform",
        "status-page",
        "soc2",
        "europe"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 62.3,
        "grade": "B",
        "agentReady": false,
        "rank": 396,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 7,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 83,
          "payments": 20,
          "reliability": 67,
          "schema": 82,
          "security": 68,
          "transparency": 76
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-03-19, making `location_code` required on `POST /v1/instances`, `POST /v1/clusters` and `POST /v1/volumes`. Requests that had defaulted to FIN-01 began returning 400. The API changelog dates the change 19 March and the docs 23 March, and neither records advance notice. Documented, so 3 points (https://docs.verda.com/welcome-to-verda/release-notes/verda-api-changes/index.md)."
        ],
        "verdict": "The REST API has a public OpenAPI 3.1 document, a dated changelog, published rate limits with `Retry-After`, and an audit log endpoint. The CLI's MCP server refuses billed or destructive calls without `confirm: true`. Access needs a browser signup and a prepaid balance, credentials carry one scope, and instance creation has no idempotency key.",
        "bestFor": "Agents that rent whole GPU machines or clusters in Finland for training or batch work, or deploy scale-to-zero container endpoints, and that can run a local CLI for MCP.",
        "strengths": [
          "OpenAPI 3.1 document with 112 operations and 156 schemas, plus `llms.txt` files on three hosts and the whole docs corpus as Markdown",
          "Rate limits of 500 requests a minute per project and 60 per endpoint, with `RateLimit` headers and `Retry-After` on 429",
          "API changelog with 11 dated entries between 11 September and 7 October 2026",
          "Audit log endpoint in CloudEvents 1.0 format covering 90 days, with the caller's IP address and origin on resource events",
          "The 18-tool MCP server refuses `create_vm`, `create_volume` and destructive `vm_action` calls unless `confirm: true` is passed"
        ],
        "weaknesses": [
          "No free tier. Accounts are prepaid, and instances are discontinued and volumes deleted when the balance reaches zero",
          "Cloud API credentials carry one scope, `cloud-api-v1`, with no read-only credential found in the reviewed documentation",
          "`POST /v1/instances` has no idempotency key, so a retried launch can start a second billed instance",
          "The MCP server is marked beta and its tools carry no read-only or destructive annotations",
          "On 30 December 2025 a storage migration overwrote part of a shared filesystem in FIN-03, and Verda reported irreversible data loss for some customers",
          "No SLA was found, and the terms give no warranty of uninterrupted availability"
        ],
        "agentNotes": [
          "Exchange the client ID and secret at `POST /v1/oauth2/token`, then send the access token as a Bearer header. It expires after 3,600 seconds, so refresh it.",
          "Send `location_code` on every create call. Requests without it have returned 400 since March 2026.",
          "Call `GET /v1/instance-availability` before launching. `POST /v1/instances` returns 503 `service_unavailable` when the location has no capacity.",
          "List instances before retrying a failed launch, because create has no idempotency key.",
          "Use the `delete` action to stop charges. `shutdown` keeps billing, and deleted volumes stay recoverable for 96 hours unless `delete_permanently` is set."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 62.3
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 83,
          "payments": 20,
          "reliability": 67,
          "schema": 82,
          "security": 68,
          "transparency": 57
        },
        "provenanceScore": 95
      },
      "connect": {
        "install": "brew install verda-cloud/tap/verda-cli",
        "http": "curl -X POST https://api.verda.com/v1/oauth2/token -H \"Content-Type: application/json\" -d '{\"grant_type\":\"client_credentials\",\"client_id\":\"\u003cYOUR_CLIENT_ID\u003e\",\"client_secret\":\"\u003cYOUR_CLIENT_SECRET\u003e\"}'",
        "config": {
          "mcpServers": {
            "verda": {
              "args": [
                "mcp",
                "serve"
              ],
              "command": "verda"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/verda"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "H100 SXM5 80 GB, on-demand",
          "unit": "gpu-hour",
          "usd": 3.89,
          "note": "Spot $1.95. Billed in prepaid 10-minute increments"
        },
        {
          "item": "H200 SXM5 141 GB, on-demand",
          "unit": "gpu-hour",
          "usd": 5.07,
          "note": "Spot $2.54"
        },
        {
          "item": "B200 SXM6 180 GB, on-demand",
          "unit": "gpu-hour",
          "usd": 7.34,
          "note": "Spot $3.67"
        },
        {
          "item": "B300 SXM6 268 GB, on-demand",
          "unit": "gpu-hour",
          "usd": 9.24,
          "note": "Spot $4.62"
        },
        {
          "item": "A100 SXM4 80 GB, on-demand",
          "unit": "gpu-hour",
          "usd": 1.87,
          "note": "Spot $0.935"
        },
        {
          "item": "L40S 48 GB, on-demand",
          "unit": "gpu-hour",
          "usd": 1.61,
          "note": "Spot $0.803"
        },
        {
          "item": "H100 SXM5 80 GB, serverless container",
          "unit": "gpu-hour",
          "usd": 4.28,
          "note": "Spot $2.14. Billed per minute of replica use"
        },
        {
          "item": "NVMe block volume or shared filesystem",
          "unit": "gb-month",
          "usd": 0.2,
          "note": "Per GiB"
        }
      ],
      "provenance": {
        "legalEntity": "DataCrunch Oy",
        "domain": "verda.com",
        "domainRegistered": "1998-05-22",
        "endpointOnVendorDomain": true,
        "terms": "https://verda.com/terms-and-conditions",
        "privacy": "https://verda.com/privacy-policy",
        "statusPage": "https://status.verda.com",
        "changelog": "https://docs.verda.com/welcome-to-verda/release-notes/verda-api-changes/",
        "securityTxt": "valid",
        "checked": "2026-10-08",
        "notes": [
          "The Terms of Service, last updated 30 September 2025, name the supplier as Verda (DataCrunch Oy), apply Finnish law and set arbitration in Helsinki. They include the data processing terms.",
          "The CLI source carries the copyright of Verda Cloud Oy.",
          "The API answers at api.verda.com, a subdomain of the vendor domain.",
          "security.txt expires on 31 December 2026, lists security@verda.com and a policy at https://vdp.verda.com.",
          "RDAP for verda.com gives a registration date of 1998-05-22. The company took the Verda name later, and verda.com/llms.txt says it was previously known as DataCrunch.",
          "The privacy policy covers the website and the services and shows no readable date."
        ],
        "score": 95
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/verda.json",
      "live": {
        "slug": "verda",
        "probe": {
          "target": "https://api.verda.com/v1",
          "method": "get",
          "lastAt": "2026-10-09T09:27:09.210083957Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 82,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 84,
          "p95ms24h": 151,
          "samples24h": 20,
          "samples30d": 20,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 20,
              "ok": 20
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.verda.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:58:39.142949931Z"
        },
        "updatedAt": "2026-10-09T09:27:09.210083957Z"
      }
    },
    "facts": [
      {
        "a": "Model platform",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Cerebrium Inc.",
        "b": "Verda",
        "name": "Vendor"
      },
      {
        "a": "https://rest.cerebrium.ai",
        "b": "https://api.verda.com/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP, stdio",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under Cerebrium's terms of service. The CLI is MIT",
        "b": "Proprietary service under Verda's Terms of Service. The CLI, the Python SDK and the Go SDK on GitHub are Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "18",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-16",
        "b": "2026-10-07",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "2025-09-30",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "no date given",
        "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": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "920 PyPI/wk",
        "b": "10k PyPI/wk",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Verda scores 62.3 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, Cerebrium or Verda?"
      },
      {
        "answer": "Yes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Verda at https://api.verda.com/v1.",
        "question": "Can an agent call Cerebrium and Verda without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 30 against 20"
        ],
        "also": [
          "No incidents deducted, where Verda loses 3 points for them"
        ],
        "goodFor": "Teams serving their own models as real-time endpoints (voice, LLM, image) who want per-second billing, multi-region placement and a scriptable management API.",
        "slug": "cerebrium",
        "watchFor": "`disable_auth` defaults to true, so a deployed endpoint answers without a token unless the owner changes it"
      },
      {
        "aheadOn": [
          "Reliability, 67 against 48",
          "Schema \u0026 documentation, 82 against 70",
          "Agent ergonomics, 63 against 49",
          "Security \u0026 auth, 68 against 60",
          "Maintenance \u0026 community, 83 against 75",
          "Transparency \u0026 trust, 76 against 63"
        ],
        "also": [
          "Runs on your own machine"
        ],
        "goodFor": "Agents that rent whole GPU machines or clusters in Finland for training or batch work, or deploy scale-to-zero container endpoints, and that can run a local CLI for MCP.",
        "slug": "verda",
        "watchFor": "No free tier. Accounts are prepaid, and instances are discontinued and volumes deleted when the balance reaches zero"
      }
    ],
    "job": {
      "capability": "compute.gpu",
      "name": "Compute gpu"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/baseten-vs-cerebrium.json",
        "title": "Baseten vs Cerebrium",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-cerebrium"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baseten-vs-verda.json",
        "title": "Baseten vs Verda",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-cerebrium.json",
        "title": "Beam vs Cerebrium",
        "url": "https://www.anchorterminal.com/compare/beam-vs-cerebrium"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-verda.json",
        "title": "Beam vs Verda",
        "url": "https://www.anchorterminal.com/compare/beam-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebrium-vs-coreweave.json",
        "title": "Cerebrium vs CoreWeave",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-coreweave"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.json",
        "title": "Cerebrium vs Hugging Face Inference Endpoints",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints"
      },
      {
        "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-koyeb.json",
        "title": "Cerebrium vs Koyeb",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-koyeb"
      },
      {
        "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/cerebrium-vs-modal.json",
        "title": "Cerebrium vs Modal",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebrium-vs-nebius-ai-cloud.json",
        "title": "Cerebrium vs Nebius AI Cloud",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-nebius-ai-cloud"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebrium-vs-northflank.json",
        "title": "Cerebrium vs Northflank",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-northflank"
      },
      {
        "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/cerebrium-vs-runpod.json",
        "title": "Cerebrium vs Runpod",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-runpod"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.json",
        "title": "Cerebrium vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebrium-vs-vast-ai.json",
        "title": "Cerebrium vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/coreweave-vs-verda.json",
        "title": "CoreWeave vs Verda",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda.json",
        "title": "Hugging Face Inference Endpoints vs Verda",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda"
      },
      {
        "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-verda.json",
        "title": "Koyeb vs Verda",
        "url": "https://www.anchorterminal.com/compare/koyeb-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-verda.json",
        "title": "Lambda Cloud vs Verda",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-verda.json",
        "title": "Modal vs Verda",
        "url": "https://www.anchorterminal.com/compare/modal-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda.json",
        "title": "Nebius AI Cloud vs Verda",
        "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/northflank-vs-verda.json",
        "title": "Northflank vs Verda",
        "url": "https://www.anchorterminal.com/compare/northflank-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-verda.json",
        "title": "Replicate Deployments vs Verda",
        "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/runpod-vs-verda.json",
        "title": "Runpod vs Verda",
        "url": "https://www.anchorterminal.com/compare/runpod-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda.json",
        "title": "Thunder Compute vs Verda",
        "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda"
      },
      {
        "json": "https://www.anchorterminal.com/compare/vast-ai-vs-verda.json",
        "title": "Vast.ai vs Verda",
        "url": "https://www.anchorterminal.com/compare/vast-ai-vs-verda"
      }
    ],
    "scores": [
      {
        "by": 19,
        "cerebrium": 48,
        "edge": "verda",
        "key": "reliability",
        "name": "Reliability",
        "verda": 67,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 12,
        "cerebrium": 70,
        "edge": "verda",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "verda": 82,
        "weight": 13
      },
      {
        "by": 14,
        "cerebrium": 49,
        "edge": "verda",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "verda": 63,
        "weight": 13
      },
      {
        "by": 8,
        "cerebrium": 60,
        "edge": "verda",
        "key": "security",
        "name": "Security \u0026 auth",
        "verda": 68,
        "weight": 14
      },
      {
        "by": 10,
        "cerebrium": 30,
        "edge": "cerebrium",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "verda": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "cerebrium": 75,
        "edge": "verda",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "verda": 83,
        "weight": 7
      },
      {
        "by": 13,
        "cerebrium": 63,
        "edge": "verda",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "verda": 76,
        "weight": 7
      }
    ],
    "summary": "Verda scores 62.3 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments \u0026 pricing. Both do compute gpu.",
    "verdicts": {
      "cerebrium": "Per-second GPU prices are public, a 94-operation OpenAPI spec covers the management API, and service account tokens expire and are limited to named projects. Deployed endpoints are callable without a token unless `disable_auth = false` is set, and no request rate limits, 429 handling or SLA were found in the reviewed documentation.",
      "verda": "The REST API has a public OpenAPI 3.1 document, a dated changelog, published rate limits with `Retry-After`, and an audit log endpoint. The CLI's MCP server refuses billed or destructive calls without `confirm: true`. Access needs a browser signup and a prepaid balance, credentials carry one scope, and instance creation has no idempotency key."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/cerebrium-vs-verda",
    "json": "https://www.anchorterminal.com/compare/cerebrium-vs-verda.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/cerebrium-vs-verda.md",
    "slim": "https://www.anchorterminal.com/compare/cerebrium-vs-verda.min.md"
  },
  "markdown": "Verda scores 62.3 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments \u0026 pricing. Both do compute gpu.\n\n- Cerebrium: grade C, 55.3/100, rank #593 of 842. Markdown https://www.anchorterminal.com/tools/cerebrium.md · JSON https://www.anchorterminal.com/api/v1/tools/cerebrium.json\n- Verda: grade B, 62.3/100, rank #396 of 842. Markdown https://www.anchorterminal.com/tools/verda.md · JSON https://www.anchorterminal.com/api/v1/tools/verda.json\n\n## Which one, for what\n\n### Cerebrium (C)\n\nGood for: Teams serving their own models as real-time endpoints (voice, LLM, image) who want per-second billing, multi-region placement and a scriptable management API.\n\nAhead on:\n- Payments \u0026 pricing, 30 against 20\n\nAlso in its favour:\n- No incidents deducted, where Verda loses 3 points for them\n\nWatch for: `disable_auth` defaults to true, so a deployed endpoint answers without a token unless the owner changes it\n\n### Verda (B)\n\nGood for: Agents that rent whole GPU machines or clusters in Finland for training or batch work, or deploy scale-to-zero container endpoints, and that can run a local CLI for MCP.\n\nAhead on:\n- Reliability, 67 against 48\n- Schema \u0026 documentation, 82 against 70\n- Agent ergonomics, 63 against 49\n- Security \u0026 auth, 68 against 60\n- Maintenance \u0026 community, 83 against 75\n- Transparency \u0026 trust, 76 against 63\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: No free tier. Accounts are prepaid, and instances are discontinued and volumes deleted when the balance reaches zero\n\n\n## Score by category\n\n| Category | Weight | Cerebrium | Verda | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 48 | 67 | Verda +19 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 82 | Verda +12 |\n| Agent ergonomics | 13% (16.2 this run) | 49 | 63 | Verda +14 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 68 | Verda +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | Cerebrium +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 83 | Verda +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 76 | Verda +13 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **55.3 · C** | **62.3 · B** | |\n\n## Facts side by side\n\n| Fact | Cerebrium | Verda |\n| --- | --- | --- |\n| Kind | Model platform | HTTP API |\n| Vendor | Cerebrium Inc. | Verda |\n| Hosted endpoint | `https://rest.cerebrium.ai` | `https://api.verda.com/v1` |\n| Transports | HTTP | HTTP, stdio |\n| Auth | API key | OAuth |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under Cerebrium's terms of service. The CLI is MIT | Proprietary service under Verda's Terms of Service. The CLI, the Python SDK and the Go SDK on GitHub are Apache-2.0 |\n| Tools exposed | none | 18 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-16 | 2026-10-07 |\n| Terms last updated | no date given | 2025-09-30 |\n| Privacy policy last updated | no date given | no date given |\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 | not found in the text | yes |\n| Popularity | 920 PyPI/wk | 10k PyPI/wk |\n\n## Verdicts\n\n**Cerebrium.** Per-second GPU prices are public, a 94-operation OpenAPI spec covers the management API, and service account tokens expire and are limited to named projects. Deployed endpoints are callable without a token unless `disable_auth = false` is set, and no request rate limits, 429 handling or SLA were found in the reviewed documentation.\n\n**Verda.** The REST API has a public OpenAPI 3.1 document, a dated changelog, published rate limits with `Retry-After`, and an audit log endpoint. The CLI's MCP server refuses billed or destructive calls without `confirm: true`. Access needs a browser signup and a prepaid balance, credentials carry one scope, and instance creation has no idempotency key.\n\n## Before you call either\n\n### Cerebrium\n\n1. Set `disable_auth = false` in `cerebrium.toml` before deploying. The default leaves the endpoint callable by anyone with the URL\n2. Authenticate headless with `CEREBRIUM_SERVICE_ACCOUNT_TOKEN`. `cerebrium login` opens a browser\n3. Raise `response_grace_period` for long work. It defaults to 15 minutes and async runs stop at 12 hours\n4. Send `?async=true` to get a `run_id` with HTTP 202, and add `webhookEndpoint` because async calls return no result to the caller\n5. Check the plan before choosing hardware. A100, H100, H200, B200 and RTX PRO 6000 need Standard, and `protected` compute bills at twice the listed rate\n\n### Verda\n\n1. Exchange the client ID and secret at `POST /v1/oauth2/token`, then send the access token as a Bearer header. It expires after 3,600 seconds, so refresh it.\n2. Send `location_code` on every create call. Requests without it have returned 400 since March 2026.\n3. Call `GET /v1/instance-availability` before launching. `POST /v1/instances` returns 503 `service_unavailable` when the location has no capacity.\n4. List instances before retrying a failed launch, because create has no idempotency key.\n5. Use the `delete` action to stop charges. `shutdown` keeps billing, and deleted volumes stay recoverable for 96 hours unless `delete_permanently` is set.\n\n## Questions\n\n### Which is better for AI agents, Cerebrium or Verda?\n\nVerda scores 62.3 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments \u0026 pricing.\n\n### Can an agent call Cerebrium and Verda without installing anything?\n\nYes. Cerebrium has a hosted endpoint at https://rest.cerebrium.ai and Verda at https://api.verda.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cerebrium-vs-verda.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cerebrium-vs-verda.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cerebrium\", \"b\": \"verda\"}`. From a terminal: `anchor compare cerebrium verda`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cerebrium.json and https://www.anchorterminal.com/api/v1/tools/verda.json\n\n## Other comparisons with Cerebrium or Verda\n\n- [Baseten vs Cerebrium](https://www.anchorterminal.com/compare/baseten-vs-cerebrium.md)\n- [Baseten vs Verda](https://www.anchorterminal.com/compare/baseten-vs-verda.md)\n- [Beam vs Cerebrium](https://www.anchorterminal.com/compare/beam-vs-cerebrium.md)\n- [Beam vs Verda](https://www.anchorterminal.com/compare/beam-vs-verda.md)\n- [Cerebrium vs CoreWeave](https://www.anchorterminal.com/compare/cerebrium-vs-coreweave.md)\n- [Cerebrium vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.md)\n- [Cerebrium vs Hyperbolic](https://www.anchorterminal.com/compare/cerebrium-vs-hyperbolic.md)\n- [Cerebrium vs Koyeb](https://www.anchorterminal.com/compare/cerebrium-vs-koyeb.md)\n- [Cerebrium vs Lambda Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-lambda.md)\n- [Cerebrium vs Modal](https://www.anchorterminal.com/compare/cerebrium-vs-modal.md)\n- [Cerebrium vs Nebius AI Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-nebius-ai-cloud.md)\n- [Cerebrium vs Northflank](https://www.anchorterminal.com/compare/cerebrium-vs-northflank.md)\n- [Cerebrium vs Replicate Deployments](https://www.anchorterminal.com/compare/cerebrium-vs-replicate-deploy.md)\n- [Cerebrium vs Runpod](https://www.anchorterminal.com/compare/cerebrium-vs-runpod.md)\n- [Cerebrium vs Thunder Compute](https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md)\n- [Cerebrium vs Vast.ai](https://www.anchorterminal.com/compare/cerebrium-vs-vast-ai.md)\n- [CoreWeave vs Verda](https://www.anchorterminal.com/compare/coreweave-vs-verda.md)\n- [Hugging Face Inference Endpoints vs Verda](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda.md)\n- [Hyperbolic vs Verda](https://www.anchorterminal.com/compare/hyperbolic-vs-verda.md)\n- [Koyeb vs Verda](https://www.anchorterminal.com/compare/koyeb-vs-verda.md)\n- [Lambda Cloud vs Verda](https://www.anchorterminal.com/compare/lambda-vs-verda.md)\n- [Modal vs Verda](https://www.anchorterminal.com/compare/modal-vs-verda.md)\n- [Nebius AI Cloud vs Verda](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda.md)\n- [Northflank vs Verda](https://www.anchorterminal.com/compare/northflank-vs-verda.md)\n- [Replicate Deployments vs Verda](https://www.anchorterminal.com/compare/replicate-deploy-vs-verda.md)\n- [Runpod vs Verda](https://www.anchorterminal.com/compare/runpod-vs-verda.md)\n- [Thunder Compute vs Verda](https://www.anchorterminal.com/compare/thunder-compute-vs-verda.md)\n- [Vast.ai vs Verda](https://www.anchorterminal.com/compare/vast-ai-vs-verda.md)\n",
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    "description": "Verda scores 62.3 (B) on agent readiness against Cerebrium's 55.3 (C), and leads in 6 of 7 scored categories. Cerebrium leads on payments \u0026 pricing. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.",
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