{
  "data": {
    "a": {
      "slug": "hugging-face-inference-endpoints",
      "name": "Hugging Face Inference Endpoints",
      "vendor": "Hugging Face, Inc.",
      "vendorUrl": "https://huggingface.co",
      "kind": "http-api",
      "category": "gpu-compute",
      "summary": "Managed Hugging Face service that deploys a Hub model as a dedicated, autoscaling HTTPS endpoint on AWS, Azure or Google Cloud, using vLLM, TGI, SGLang, llama.cpp, TEI or a custom container. Managed by REST API, Python client, CLI or MCP.",
      "url": "https://www.anchorterminal.com/tools/hugging-face-inference-endpoints",
      "markdownUrl": "https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-endpoints.json",
      "repo": "https://github.com/huggingface/hf-endpoints-documentation",
      "license": "Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.endpoints.huggingface.cloud",
      "packages": [
        {
          "registry": "pypi",
          "name": "huggingface_hub"
        }
      ],
      "auth": "mixed",
      "authNotes": "Hugging Face access token sent as `Authorization: Bearer $HF_TOKEN` to the management API and to each endpoint. Tokens are created in the account settings in a browser and can be fine-grained, read or write. The MCP server uses OAuth through huggingface.co (authorisation code with PKCE, device code, dynamic client registration) with `read-endpoints` and `write-endpoints` scopes. `GET /v2/provider` and the catalogue list need no token. Access is self-serve, with quota requests for larger instances.",
      "pricing": "usage",
      "pricingNotes": "Usage priced by instance hour, billed per minute while a replica is initialising or running. GPUs run from $0.50 an hour (T4) to $10 (H100 on GCP), CPUs from $0.033. No free tier or trial was found. The docs require a payment method and credits before deploying, and the pricing page says an active subscription. Paused endpoints and endpoints at zero replicas aren't billed for compute (https://huggingface.co/docs/inference-endpoints/support/pricing).",
      "priceSummary": "$0.033 / vCPU-hr",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Inference Endpoints docs, the two OpenAPI documents or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": 19,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": 60014944,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://huggingface.co/docs/inference-endpoints/index",
      "llmsTxt": "https://huggingface.co/docs/inference-endpoints/llms.txt",
      "openapi": "https://api.endpoints.huggingface.cloud/openapi.json",
      "capabilities": [
        "compute.gpu",
        "compute.endpoints",
        "compute.containers"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "python",
        "cli",
        "mcp",
        "oauth",
        "openapi",
        "llms-txt",
        "status-page",
        "soc2",
        "enterprise"
      ],
      "lastRelease": "2026-10-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.5,
        "grade": "B",
        "agentReady": false,
        "rank": 314,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 3,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 62,
          "maintenance": 80,
          "payments": 20,
          "reliability": 63,
          "schema": 73,
          "security": 83,
          "transparency": 68
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "OAuth scopes separate reading endpoints from writing them, both OpenAPI documents are public, and the unauthenticated `/v2/provider` route lists every instance with its hourly price. An account needs a payment method and credits before the first deployment, no rate limits or SLA were found for the management API, and the docs price table disagrees with the live list in places.",
        "bestFor": "Teams whose models already live on the Hugging Face Hub and who want a dedicated endpoint on a named cloud and region with standard open-source engines.",
        "strengths": [
          "Public OpenAPI 3.1 documents for the management API (46 operations) and the catalogue API (3), plus llms.txt and a Markdown twin of every docs page",
          "The MCP server at endpoints.huggingface.co/mcp uses OAuth with `read-endpoints` and `write-endpoints` scopes, PKCE and dynamic client registration",
          "`GET /v2/provider` needs no token and returns each instance type by cloud and region with status and price per hour",
          "The MCP `delete_endpoint` tool returns a preview and deletes only on a second call with `confirm: true`",
          "The Inference Endpoints API component on status.huggingface.co shows 100 per cent uptime over the 90 days to 8 October 2026"
        ],
        "weaknesses": [
          "No free tier. The docs require a payment method and credits, and replicas are billed while initialising as well as running",
          "No rate limits, SLA or idempotency keys were found for the management API, and its OpenAPI document lists only 200 responses on 43 of 46 operations",
          "The docs price table and the live provider list disagree. Inferentia2 x1 is $0.75 in the docs and $1.95 in the API, and AWS H200 is listed in the docs and marked deprecated in the API",
          "A start from zero replicas takes minutes by the docs' own account, and the proxy answers 503 until a replica is ready",
          "The Hub outage of 16 July 2026 took the Inference Endpoints UI down for 1 hour 37 minutes"
        ],
        "agentNotes": [
          "Call `GET https://api.endpoints.huggingface.cloud/v2/provider` first and pick an instance whose `status` is `available`. The docs table lists types the API marks deprecated or not available",
          "Send `X-Scale-Up-Timeout: 600` on requests to an endpoint that scales to zero, or handle 503 while the first replica starts",
          "Set `scaleToZeroTimeout` yourself. The docs give a default of 1 hour and the OpenAPI document says 15 minutes",
          "Pause or delete an endpoint when the job is done. Billing covers every minute a replica is initialising or running",
          "Give the agent a fine-grained token or the `read-endpoints` scope unless it must deploy. Endpoints are private by default and take the same Hugging Face token as a bearer"
        ],
        "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": 64.5
          }
        ],
        "editorialScores": {
          "ergonomics": 62,
          "maintenance": 80,
          "payments": 20,
          "reliability": 63,
          "schema": 73,
          "security": 83,
          "transparency": 68
        },
        "provenanceScore": 67
      },
      "connect": {
        "install": "pip install huggingface_hub",
        "http": "curl \"https://api.endpoints.huggingface.cloud/v2/endpoint/$NAMESPACE\" \\\n  -H \"Authorization: Bearer $HF_TOKEN\""
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/hugging-face-inference-endpoints"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "NVIDIA T4 16 GB x1 (AWS, GCP)",
          "unit": "gpu-hour",
          "usd": 0.5,
          "note": "Billed per minute while initialising or running"
        },
        {
          "item": "NVIDIA L4 24 GB x1 (AWS)",
          "unit": "gpu-hour",
          "usd": 0.8,
          "note": "$0.70 on GCP us-east4"
        },
        {
          "item": "NVIDIA A10G 24 GB x1 (AWS)",
          "unit": "gpu-hour",
          "usd": 1,
          "note": "us-east-1 and eu-west-1"
        },
        {
          "item": "NVIDIA L40S 48 GB x1 (AWS)",
          "unit": "gpu-hour",
          "usd": 1.8,
          "note": "us-east-1"
        },
        {
          "item": "NVIDIA A100 80 GB x1 (AWS)",
          "unit": "gpu-hour",
          "usd": 2.5,
          "note": "$3.60 on GCP us-east4"
        },
        {
          "item": "NVIDIA RTX PRO 6000 Blackwell 96 GB x1 (AWS)",
          "unit": "gpu-hour",
          "usd": 2.75,
          "note": "us-east-2, in the live provider list and absent from the docs table"
        },
        {
          "item": "NVIDIA H200 141 GB x1 (GCP)",
          "unit": "gpu-hour",
          "usd": 5,
          "note": "us-south1. The AWS H200 in us-west-2 is marked deprecated in the API"
        },
        {
          "item": "NVIDIA H100 80 GB x1 (GCP)",
          "unit": "gpu-hour",
          "usd": 10,
          "note": "us-east4. The AWS H100 at $4.50 is deprecated from December 2025"
        },
        {
          "item": "Intel Sapphire Rapids x1, 1 vCPU and 2 GB (AWS)",
          "unit": "vcpu-hour",
          "usd": 0.033,
          "note": "$0.050 on GCP and $0.060 on Azure Intel Xeon"
        }
      ],
      "provenance": {
        "legalEntity": "Hugging Face, Inc.",
        "domain": "huggingface.co",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://huggingface.co/terms-of-service",
        "privacy": "https://huggingface.co/privacy",
        "statusPage": "https://status.huggingface.co",
        "changelog": "https://huggingface.co/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-08",
        "notes": [
          "The Terms of Service (effective 15 September 2022) name Hugging Face, Inc., a Delaware corporation, list Inference Endpoints among the services they cover and are governed by New York law. They link Supplemental Terms (effective 28 April 2025) as a PDF, of which our reader extracted only the first page.",
          "The privacy policy (effective 28 March 2023) names Hugging Face, Inc. and its EU establishment Hugging Face, SAS, 9 rue des Colonnes, 75002 Paris, and lists 11 subprocessors with countries. The Inference Endpoints security page points to it.",
          "The management API answers at api.endpoints.huggingface.cloud and deployed endpoints at subdomains of endpoints.huggingface.cloud, a second domain of the vendor's. The catalogue API and the MCP server are on endpoints.huggingface.co.",
          "huggingface.co/.well-known/security.txt gives security@huggingface.co and expires on 1 July 2030. endpoints.huggingface.co/.well-known/security.txt returns 404.",
          "status.huggingface.co is a Better Stack page with separate components for the Inference Endpoints UI and API.",
          "The changelog at huggingface.co/changelog covers the whole Hub. Inference Endpoints has no changelog of its own. Dated changes are in the docs repository's commit history.",
          "rdap.org returned 404 for huggingface.co, so the registration date is unrecorded."
        ],
        "score": 67
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.json",
      "live": {
        "slug": "hugging-face-inference-endpoints",
        "probe": {
          "target": "https://api.endpoints.huggingface.cloud",
          "method": "get",
          "lastAt": "2026-10-09T10:42:45.525175216Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 266,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 255,
          "p95ms24h": 295,
          "samples24h": 33,
          "samples30d": 33,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 33,
              "ok": 33
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.huggingface.co",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:58:03.654181492Z"
        },
        "updatedAt": "2026-10-09T10:42:45.525175216Z"
      }
    },
    "answer": "Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Northflank's 61.3 (C), and leads in 4 of 7 scored categories. Northflank leads on schema \u0026 documentation and payments \u0026 pricing.",
    "b": {
      "slug": "northflank",
      "name": "Northflank",
      "vendor": "Northflank",
      "vendorUrl": "https://northflank.com",
      "kind": "platform",
      "category": "gpu-compute",
      "summary": "Platform for deploying services, jobs and databases from Git or container images, in managed or customer-owned infrastructure. Supports GPU workloads and sandboxes.",
      "url": "https://www.anchorterminal.com/tools/northflank",
      "markdownUrl": "https://www.anchorterminal.com/tools/northflank.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/northflank.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/northflank.json",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.northflank.com/v1",
      "packages": [
        {
          "registry": "npm",
          "name": "@northflank/cli"
        },
        {
          "registry": "npm",
          "name": "@northflank/js-client"
        }
      ],
      "auth": "pat",
      "authNotes": "Personal API token from account settings, or a team token issued under an API role, sent as `Authorization: Bearer` to api.northflank.com/v1. Rate limit headers `x-ratelimit-limit`, `x-ratelimit-remaining` and `x-ratelimit-reset` come back on every response.",
      "pricing": "freemium",
      "pricingNotes": "Pay as you go, pro-rated to the second and charged at the end of the monthly cycle. CPU $0.01667 a vCPU-hour and memory $0.00833 a GB-hour, from a 1 vCPU 2 GB plan at $24 a month to 32 vCPU 499 GB at $3,312. GPUs an hour are L4 24 GB $0.80, A100 40 GB $1.42, A100 80 GB $1.76, H100 80 GB $2.74, RTX PRO 6000 96 GB $3.00. SSD $0.15 a GB-month and egress $0.06 a GB. A free sandbox tier gives 2 services, 1 database and 2 cron jobs. Running in your own cloud adds no platform fee on pay as you go (https://northflank.com/pricing).",
      "priceSummary": "$0.0167 / vCPU-hr",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 19190,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://northflank.com/docs/v1/application",
      "llmsTxt": "https://northflank.com/docs/llms.txt",
      "openapi": "https://api.northflank.com/v1/swagger-json",
      "capabilities": [
        "compute.gpu",
        "compute.containers",
        "compute.batch",
        "compute.endpoints"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "openapi",
        "llms-txt",
        "typescript",
        "uk",
        "enterprise"
      ],
      "lastRelease": "2026-09-24",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 61.3,
        "grade": "C",
        "agentReady": false,
        "rank": 426,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 48,
          "maintenance": 65,
          "payments": 30,
          "reliability": 65,
          "schema": 81,
          "security": 75,
          "transparency": 55
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "OpenAPI 3.0 with over 100 paths, enums and `per_page`, `page` and `cursor` on every list. No scale to zero for services; minimum instances must be at least 1.",
        "bestFor": "Teams that want GPUs next to their services and databases on one platform, or inside their own cloud account.",
        "strengths": [
          "OpenAPI 3.0 with over 100 paths, enums and `per_page`, `page` and `cursor` on every list",
          "Team API tokens under API roles with granular permissions, plus audit logs",
          "Runs in Northflank's cloud or your own AWS, GCP, Azure or bare metal",
          "llms.txt and a Markdown twin for every docs page",
          "H100 at $2.74 and A100 80 GB at $1.76 an hour, billed per second"
        ],
        "weaknesses": [
          "No scale to zero for services; minimum instances must be at least 1",
          "1,000 API requests an hour by default",
          "One partial outage of workload starts across regions on 5 August 2026",
          "Terms and privacy policy unchanged since 1 March 2021, and no security.txt",
          "No error schemas in the spec, no idempotency keys, no Python SDK"
        ],
        "agentNotes": [
          "Issue the agent a team token under an API role limited to one project, not a personal token",
          "Read `x-ratelimit-remaining` and wait `x-ratelimit-reset` seconds on a 429; the default is 1,000 calls an hour",
          "Page lists with `per_page` up to 100 and the returned `cursor` instead of numbered pages",
          "Use a job, not a service, for anything that finishes; services bill until paused or deleted",
          "Fetch any docs page with .md appended to get Markdown"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 61.3
          }
        ],
        "editorialScores": {
          "ergonomics": 48,
          "maintenance": 65,
          "payments": 30,
          "reliability": 65,
          "schema": 81,
          "security": 75,
          "transparency": 33
        },
        "provenanceScore": 77
      },
      "connect": {
        "install": "npm i -g @northflank/cli \u0026\u0026 northflank login",
        "http": "curl \"https://api.northflank.com/v1/projects\" -H \"Authorization: Bearer $NORTHFLANK_TOKEN\""
      },
      "letme": {
        "capability": "https://letme.dev/compute.gpu",
        "tool": "https://letme.dev/northflank"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "H100 80 GB",
          "unit": "gpu-hour",
          "usd": 2.74,
          "note": "Billed per second"
        },
        {
          "item": "RTX PRO 6000 96 GB",
          "unit": "gpu-hour",
          "usd": 3
        },
        {
          "item": "A100 80 GB",
          "unit": "gpu-hour",
          "usd": 1.76
        },
        {
          "item": "A100 40 GB",
          "unit": "gpu-hour",
          "usd": 1.42
        },
        {
          "item": "L4 24 GB",
          "unit": "gpu-hour",
          "usd": 0.8
        },
        {
          "item": "CPU",
          "unit": "vcpu-hour",
          "usd": 0.01667,
          "note": "Memory extra at $0.00833 a GB-hour"
        },
        {
          "item": "SSD storage",
          "unit": "gb-month",
          "usd": 0.15
        },
        {
          "item": "Egress",
          "unit": "gb",
          "usd": 0.06
        }
      ],
      "provenance": {
        "legalEntity": "Northflank Ltd",
        "domain": "northflank.com",
        "domainRegistered": "2019-03-31",
        "endpointOnVendorDomain": true,
        "terms": "https://northflank.com/legal/terms",
        "privacy": "https://northflank.com/legal/privacy",
        "statusPage": "https://status.northflank.com",
        "changelog": "https://northflank.com/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Terms and privacy policy, both dated 1 March 2021, name Northflank Ltd, company number 11918540, 20-22 Wenlock Road, London N1 7GU, with legal@northflank.com as contact.",
          "The API runs on api.northflank.com, a subdomain of the vendor domain.",
          "northflank.com/.well-known/security.txt returns 404.",
          "No public source repository for the platform; the CLI and JavaScript client are published on npm."
        ],
        "score": 77
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/northflank.json",
      "live": {
        "slug": "northflank",
        "probe": {
          "target": "https://api.northflank.com/v1",
          "method": "get",
          "lastAt": "2026-10-09T10:42:50.649038961Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 178,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 36,
          "p95ms24h": 159,
          "samples24h": 260,
          "samples30d": 2098,
          "days": [
            {
              "date": "2026-10-01",
              "probes": 109,
              "ok": 109
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 114,
              "ok": 114
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.northflank.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:58:13.264340931Z"
        },
        "versions": [
          {
            "registry": "npm",
            "name": "@northflank/cli",
            "version": "0.13.0",
            "seenAt": "2026-10-08T16:22:35.066484465Z"
          },
          {
            "registry": "npm",
            "name": "@northflank/js-client",
            "version": "0.11.0",
            "seenAt": "2026-10-08T16:22:35.928473419Z"
          }
        ],
        "npmWeekly": 5763,
        "securityTxt": {
          "url": "https://northflank.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:04.396861069Z"
        },
        "llmsTxt": {
          "url": "https://northflank.com/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:42.125610096Z"
        },
        "domain": {
          "domain": "northflank.com",
          "registered": "2019-03-31",
          "source": "https://rdap.verisign.com/com/v1/domain/northflank.com",
          "checkedAt": "2026-10-04T13:08:04.961258123Z"
        },
        "pages": [
          {
            "url": "https://northflank.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:22:23.38969484Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "dded57d72d65"
          },
          {
            "url": "https://northflank.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:22:29.465118201Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "83f74eaab49c"
          },
          {
            "url": "https://northflank.com/legal/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:22:25.713082793Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "d3ee323ae832"
          },
          {
            "url": "https://northflank.com/legal/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:22:27.469810163Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "ead1ffa17ca6"
          }
        ],
        "updatedAt": "2026-10-09T10:42:50.649038961Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "Model platform",
        "name": "Kind"
      },
      {
        "a": "Hugging Face, Inc.",
        "b": "Northflank",
        "name": "Vendor"
      },
      {
        "a": "https://api.endpoints.huggingface.cloud",
        "b": "https://api.northflank.com/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "Token",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0",
        "b": "none",
        "name": "Licence"
      },
      {
        "a": "19",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-08",
        "b": "2026-09-24",
        "name": "Last release"
      },
      {
        "a": "2022-09-15",
        "b": "2021-03-01",
        "name": "Terms last updated"
      },
      {
        "a": "2023-03-28",
        "b": "2021-03-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "60M PyPI/wk",
        "b": "19k npm/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Northflank's 61.3 (C), and leads in 4 of 7 scored categories. Northflank leads on schema \u0026 documentation and payments \u0026 pricing.",
        "question": "Which is better for AI agents, Hugging Face Inference Endpoints or Northflank?"
      },
      {
        "answer": "Yes. Hugging Face Inference Endpoints has a hosted endpoint at https://api.endpoints.huggingface.cloud and Northflank at https://api.northflank.com/v1.",
        "question": "Can an agent call Hugging Face Inference Endpoints and Northflank without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Agent ergonomics, 62 against 48",
          "Security \u0026 auth, 83 against 75",
          "Maintenance \u0026 community, 80 against 65",
          "Transparency \u0026 trust, 68 against 55"
        ],
        "also": null,
        "goodFor": "Teams whose models already live on the Hugging Face Hub and who want a dedicated endpoint on a named cloud and region with standard open-source engines.",
        "slug": "hugging-face-inference-endpoints",
        "watchFor": "No free tier. The docs require a payment method and credits, and replicas are billed while initialising as well as running"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 81 against 73",
          "Payments \u0026 pricing, 30 against 20"
        ],
        "also": null,
        "goodFor": "Teams that want GPUs next to their services and databases on one platform, or inside their own cloud account.",
        "slug": "northflank",
        "watchFor": "No scale to zero for services; minimum instances must be at least 1"
      }
    ],
    "job": {
      "capability": "compute.gpu",
      "name": "Compute gpu"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.json",
        "title": "Baseten vs Hugging Face Inference Endpoints",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints"
      },
      {
        "json": "https://www.anchorterminal.com/compare/baseten-vs-northflank.json",
        "title": "Baseten vs Northflank",
        "url": "https://www.anchorterminal.com/compare/baseten-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.json",
        "title": "Beam vs Hugging Face Inference Endpoints",
        "url": "https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints"
      },
      {
        "json": "https://www.anchorterminal.com/compare/beam-vs-northflank.json",
        "title": "Beam vs Northflank",
        "url": "https://www.anchorterminal.com/compare/beam-vs-northflank"
      },
      {
        "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-northflank.json",
        "title": "Cerebrium vs Northflank",
        "url": "https://www.anchorterminal.com/compare/cerebrium-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.json",
        "title": "CoreWeave vs Hugging Face Inference Endpoints",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints"
      },
      {
        "json": "https://www.anchorterminal.com/compare/coreweave-vs-northflank.json",
        "title": "CoreWeave vs Northflank",
        "url": "https://www.anchorterminal.com/compare/coreweave-vs-northflank"
      },
      {
        "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-koyeb.json",
        "title": "Hugging Face Inference Endpoints vs Koyeb",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-koyeb"
      },
      {
        "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/hugging-face-inference-endpoints-vs-modal.json",
        "title": "Hugging Face Inference Endpoints vs Modal",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.json",
        "title": "Hugging Face Inference Endpoints vs Nebius AI Cloud",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy.json",
        "title": "Hugging Face Inference Endpoints vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-runpod.json",
        "title": "Hugging Face Inference Endpoints vs Runpod",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-runpod"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.json",
        "title": "Hugging Face Inference Endpoints vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-vast-ai.json",
        "title": "Hugging Face Inference Endpoints vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-vast-ai"
      },
      {
        "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-northflank.json",
        "title": "Hyperbolic vs Northflank",
        "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/koyeb-vs-northflank.json",
        "title": "Koyeb vs Northflank",
        "url": "https://www.anchorterminal.com/compare/koyeb-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/lambda-vs-northflank.json",
        "title": "Lambda Cloud vs Northflank",
        "url": "https://www.anchorterminal.com/compare/lambda-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-vs-northflank.json",
        "title": "Modal vs Northflank",
        "url": "https://www.anchorterminal.com/compare/modal-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-northflank.json",
        "title": "Nebius AI Cloud vs Northflank",
        "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-northflank"
      },
      {
        "json": "https://www.anchorterminal.com/compare/northflank-vs-replicate-deploy.json",
        "title": "Northflank vs Replicate Deployments",
        "url": "https://www.anchorterminal.com/compare/northflank-vs-replicate-deploy"
      },
      {
        "json": "https://www.anchorterminal.com/compare/northflank-vs-runpod.json",
        "title": "Northflank vs Runpod",
        "url": "https://www.anchorterminal.com/compare/northflank-vs-runpod"
      },
      {
        "json": "https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.json",
        "title": "Northflank vs Thunder Compute",
        "url": "https://www.anchorterminal.com/compare/northflank-vs-thunder-compute"
      },
      {
        "json": "https://www.anchorterminal.com/compare/northflank-vs-vast-ai.json",
        "title": "Northflank vs Vast.ai",
        "url": "https://www.anchorterminal.com/compare/northflank-vs-vast-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/northflank-vs-verda.json",
        "title": "Northflank vs Verda",
        "url": "https://www.anchorterminal.com/compare/northflank-vs-verda"
      }
    ],
    "scores": [
      {
        "by": 2,
        "edge": "northflank",
        "hugging-face-inference-endpoints": 63,
        "key": "reliability",
        "name": "Reliability",
        "northflank": 65,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "edge": "northflank",
        "hugging-face-inference-endpoints": 73,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "northflank": 81,
        "weight": 13
      },
      {
        "by": 14,
        "edge": "hugging-face-inference-endpoints",
        "hugging-face-inference-endpoints": 62,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "northflank": 48,
        "weight": 13
      },
      {
        "by": 8,
        "edge": "hugging-face-inference-endpoints",
        "hugging-face-inference-endpoints": 83,
        "key": "security",
        "name": "Security \u0026 auth",
        "northflank": 75,
        "weight": 14
      },
      {
        "by": 10,
        "edge": "northflank",
        "hugging-face-inference-endpoints": 20,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "northflank": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 15,
        "edge": "hugging-face-inference-endpoints",
        "hugging-face-inference-endpoints": 80,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "northflank": 65,
        "weight": 7
      },
      {
        "by": 13,
        "edge": "hugging-face-inference-endpoints",
        "hugging-face-inference-endpoints": 68,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "northflank": 55,
        "weight": 7
      }
    ],
    "summary": "Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Northflank's 61.3 (C), and leads in 4 of 7 scored categories. Northflank leads on schema \u0026 documentation and payments \u0026 pricing. Both do compute gpu.",
    "verdicts": {
      "hugging-face-inference-endpoints": "OAuth scopes separate reading endpoints from writing them, both OpenAPI documents are public, and the unauthenticated `/v2/provider` route lists every instance with its hourly price. An account needs a payment method and credits before the first deployment, no rate limits or SLA were found for the management API, and the docs price table disagrees with the live list in places.",
      "northflank": "OpenAPI 3.0 with over 100 paths, enums and `per_page`, `page` and `cursor` on every list. No scale to zero for services; minimum instances must be at least 1."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank",
    "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank.md",
    "slim": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank.min.md"
  },
  "markdown": "Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Northflank's 61.3 (C), and leads in 4 of 7 scored categories. Northflank leads on schema \u0026 documentation and payments \u0026 pricing. Both do compute gpu.\n\n- Hugging Face Inference Endpoints: grade B, 64.5/100, rank #314 of 842. Markdown https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.md · JSON https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-endpoints.json\n- Northflank: grade C, 61.3/100, rank #426 of 842. Markdown https://www.anchorterminal.com/tools/northflank.md · JSON https://www.anchorterminal.com/api/v1/tools/northflank.json\n\n## Which one, for what\n\n### Hugging Face Inference Endpoints (B)\n\nGood for: Teams whose models already live on the Hugging Face Hub and who want a dedicated endpoint on a named cloud and region with standard open-source engines.\n\nAhead on:\n- Agent ergonomics, 62 against 48\n- Security \u0026 auth, 83 against 75\n- Maintenance \u0026 community, 80 against 65\n- Transparency \u0026 trust, 68 against 55\n\nWatch for: No free tier. The docs require a payment method and credits, and replicas are billed while initialising as well as running\n\n### Northflank (C)\n\nGood for: Teams that want GPUs next to their services and databases on one platform, or inside their own cloud account.\n\nAhead on:\n- Schema \u0026 documentation, 81 against 73\n- Payments \u0026 pricing, 30 against 20\n\nWatch for: No scale to zero for services; minimum instances must be at least 1\n\n\n## Score by category\n\n| Category | Weight | Hugging Face Inference Endpoints | Northflank | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 63 | 65 | Northflank +2 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 73 | 81 | Northflank +8 |\n| Agent ergonomics | 13% (16.2 this run) | 62 | 48 | Hugging Face Inference Endpoints +14 |\n| Security \u0026 auth | 14% (17.5 this run) | 83 | 75 | Hugging Face Inference Endpoints +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 30 | Northflank +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 65 | Hugging Face Inference Endpoints +15 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 68 | 55 | Hugging Face Inference Endpoints +13 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.5 · B** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | Hugging Face Inference Endpoints | Northflank |\n| --- | --- | --- |\n| Kind | HTTP API | Model platform |\n| Vendor | Hugging Face, Inc. | Northflank |\n| Hosted endpoint | `https://api.endpoints.huggingface.cloud` | `https://api.northflank.com/v1` |\n| Transports | HTTP | HTTP |\n| Auth | OAuth or key | Token |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0 | none |\n| Tools exposed | 19 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-09-24 |\n| Terms last updated | 2022-09-15 | 2021-03-01 |\n| Privacy policy last updated | 2023-03-28 | 2021-03-01 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | yes | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 60M PyPI/wk | 19k npm/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## Verdicts\n\n**Hugging Face Inference Endpoints.** OAuth scopes separate reading endpoints from writing them, both OpenAPI documents are public, and the unauthenticated `/v2/provider` route lists every instance with its hourly price. An account needs a payment method and credits before the first deployment, no rate limits or SLA were found for the management API, and the docs price table disagrees with the live list in places.\n\n**Northflank.** OpenAPI 3.0 with over 100 paths, enums and `per_page`, `page` and `cursor` on every list. No scale to zero for services; minimum instances must be at least 1.\n\n## Before you call either\n\n### Hugging Face Inference Endpoints\n\n1. Call `GET https://api.endpoints.huggingface.cloud/v2/provider` first and pick an instance whose `status` is `available`. The docs table lists types the API marks deprecated or not available\n2. Send `X-Scale-Up-Timeout: 600` on requests to an endpoint that scales to zero, or handle 503 while the first replica starts\n3. Set `scaleToZeroTimeout` yourself. The docs give a default of 1 hour and the OpenAPI document says 15 minutes\n4. Pause or delete an endpoint when the job is done. Billing covers every minute a replica is initialising or running\n5. Give the agent a fine-grained token or the `read-endpoints` scope unless it must deploy. Endpoints are private by default and take the same Hugging Face token as a bearer\n\n### Northflank\n\n1. Issue the agent a team token under an API role limited to one project, not a personal token\n2. Read `x-ratelimit-remaining` and wait `x-ratelimit-reset` seconds on a 429; the default is 1,000 calls an hour\n3. Page lists with `per_page` up to 100 and the returned `cursor` instead of numbered pages\n4. Use a job, not a service, for anything that finishes; services bill until paused or deleted\n5. Fetch any docs page with .md appended to get Markdown\n\n## Questions\n\n### Which is better for AI agents, Hugging Face Inference Endpoints or Northflank?\n\nHugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Northflank's 61.3 (C), and leads in 4 of 7 scored categories. Northflank leads on schema \u0026 documentation and payments \u0026 pricing.\n\n### Can an agent call Hugging Face Inference Endpoints and Northflank without installing anything?\n\nYes. Hugging Face Inference Endpoints has a hosted endpoint at https://api.endpoints.huggingface.cloud and Northflank at https://api.northflank.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hugging-face-inference-endpoints\", \"b\": \"northflank\"}`. From a terminal: `anchor compare hugging-face-inference-endpoints northflank`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-endpoints.json and https://www.anchorterminal.com/api/v1/tools/northflank.json\n\n## Other comparisons with Hugging Face Inference Endpoints or Northflank\n\n- [Baseten vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/baseten-vs-hugging-face-inference-endpoints.md)\n- [Baseten vs Northflank](https://www.anchorterminal.com/compare/baseten-vs-northflank.md)\n- [Beam vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/beam-vs-hugging-face-inference-endpoints.md)\n- [Beam vs Northflank](https://www.anchorterminal.com/compare/beam-vs-northflank.md)\n- [Cerebrium vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/cerebrium-vs-hugging-face-inference-endpoints.md)\n- [Cerebrium vs Northflank](https://www.anchorterminal.com/compare/cerebrium-vs-northflank.md)\n- [CoreWeave vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.md)\n- [CoreWeave vs Northflank](https://www.anchorterminal.com/compare/coreweave-vs-northflank.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 Koyeb](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-koyeb.md)\n- [Hugging Face Inference Endpoints vs Lambda Cloud](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-lambda.md)\n- [Hugging Face Inference Endpoints vs Modal](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-modal.md)\n- [Hugging Face Inference Endpoints vs Nebius AI Cloud](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.md)\n- [Hugging Face Inference Endpoints vs Replicate Deployments](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-replicate-deploy.md)\n- [Hugging Face Inference Endpoints vs Runpod](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-runpod.md)\n- [Hugging Face Inference Endpoints vs Thunder Compute](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.md)\n- [Hugging Face Inference Endpoints vs Vast.ai](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-vast-ai.md)\n- [Hugging Face Inference Endpoints vs Verda](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-verda.md)\n- [Hyperbolic vs Northflank](https://www.anchorterminal.com/compare/hyperbolic-vs-northflank.md)\n- [Koyeb vs Northflank](https://www.anchorterminal.com/compare/koyeb-vs-northflank.md)\n- [Lambda Cloud vs Northflank](https://www.anchorterminal.com/compare/lambda-vs-northflank.md)\n- [Modal vs Northflank](https://www.anchorterminal.com/compare/modal-vs-northflank.md)\n- [Nebius AI Cloud vs Northflank](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-northflank.md)\n- [Northflank vs Replicate Deployments](https://www.anchorterminal.com/compare/northflank-vs-replicate-deploy.md)\n- [Northflank vs Runpod](https://www.anchorterminal.com/compare/northflank-vs-runpod.md)\n- [Northflank vs Thunder Compute](https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.md)\n- [Northflank vs Vast.ai](https://www.anchorterminal.com/compare/northflank-vs-vast-ai.md)\n- [Northflank vs Verda](https://www.anchorterminal.com/compare/northflank-vs-verda.md)\n",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-09",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.4",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run"
  },
  "page": {
    "breadcrumbs": [
      {
        "name": "Home",
        "url": "https://www.anchorterminal.com/"
      },
      {
        "name": "Compare",
        "url": "https://www.anchorterminal.com/compare/"
      },
      {
        "name": "Hugging Face Inference Endpoints vs Northflank",
        "url": ""
      }
    ],
    "description": "Hugging Face Inference Endpoints scores 64.5 (B) on agent readiness against Northflank's 61.3 (C), and leads in 4 of 7 scored categories. Northflank leads on schema \u0026 documentation and payments \u0026 pricing. Both do compute gpu. Category scores, facts, verdicts and agent notes side…",
    "facts": [
      "Hugging Face Inference Endpoints B 64.5",
      "Northflank C 61.3",
      "scores"
    ],
    "h1": "Hugging Face Inference Endpoints vs Northflank",
    "image": "https://www.anchorterminal.com/assets/og/compare-hugging-face-inference-endpoints-vs-northflank.png",
    "path": "/compare/hugging-face-inference-endpoints-vs-northflank",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Hugging Face Inference Endpoints vs Northflank for AI agents",
    "toc": null,
    "updated": "2026-10-09",
    "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-northflank"
  },
  "tokens": {
    "markdown": 2700,
    "slim": 730
  },
  "version": 1
}