{
  "data": {
    "a": {
      "slug": "blockrun-ai",
      "name": "BlockRun.AI",
      "vendor": "BlockRun, Inc.",
      "vendorUrl": "https://blockrun.ai",
      "kind": "mcp",
      "category": "inference",
      "summary": "Model and API gateway with an OpenAI-compatible interface, MCP support and per-request stablecoin payments through x402.",
      "url": "https://www.anchorterminal.com/tools/blockrun-ai",
      "markdownUrl": "https://www.anchorterminal.com/tools/blockrun-ai.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/blockrun-ai.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json",
      "repo": "https://github.com/BlockRunAI/blockrun-llm",
      "license": "MIT",
      "transports": [
        "stdio"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "blockrun-llm"
        },
        {
          "registry": "npm",
          "name": "@blockrun/llm"
        },
        {
          "registry": "npm",
          "name": "@blockrun/mcp"
        }
      ],
      "auth": "mixed",
      "authNotes": "Either an API key backed by prepaid card credit (user.blockrun.ai) or a non-custodial wallet signing x402 USDC payments (Base mainnet at https://blockrun.ai/api, Solana at https://sol.blockrun.ai/api, testnets available).",
      "pricing": "usage",
      "pricingNotes": "Per-token LLM pricing by model ($0.20-$30 per 1M input, $0.40-$180 per 1M output per SDK README; site examples $10/$50 for Claude Fable 5.1, $4/$20 for GPT-5.6 Sol per 1M tokens); per-token chat models billed at zero platform margin since 2026-08-08, plus a flat $0.001 network fee per wallet call on Base since 2026-07-29 (the account rail and the Solana gateway charge no fee); images $0.015-$0.10; web search $0.011/search; some data endpoints $0.002-$0.0085 per call; six or seven free models (the vendor's repository says 6, its llms.txt names 7, after four NVIDIA free models retired on 2026-08-30); failed calls (400, 402, 429, 5xx) aren't charged; x402 in USDC on Base or Solana (https://blockrun.ai/docs/resources/changelog; https://blockrun.ai/docs/api-reference/errors; https://github.com/BlockRunAI/blockrun-mcp).",
      "priceSummary": "Pay per use",
      "where": "local",
      "x402": {
        "level": "yes",
        "evidence": "Core business model: x402 v2 micropayments in USDC (ERC-20 on Base mainnet, SPL on Solana) per request; the '~$0.002/call' figure could NOT be verified for LLM inference, which is per-token; $0.002 appears only for trading-market/stock data endpoints (https://github.com/BlockRunAI/blockrun-llm; https://github.com/BlockRunAI/awesome-blockrun)",
        "endpoints": [
          {
            "url": "https://blockrun.ai/api/v1/chat/completions",
            "priceUsd": null,
            "network": "eip155:8453"
          }
        ]
      },
      "toolCount": 19,
      "popularity": {
        "githubStars": 5,
        "npmWeekly": null,
        "pypiWeekly": 679,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://github.com/BlockRunAI/awesome-blockrun",
      "llmsTxt": "https://blockrun.ai/llms.txt",
      "openapi": "https://blockrun.ai/api/openapi",
      "capabilities": [
        "inference.llm",
        "web.search",
        "market.crypto"
      ],
      "tags": [
        "hosted",
        "x402",
        "inference",
        "openai-compatible"
      ],
      "lastRelease": "2026-09-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 72.4,
        "grade": "BB",
        "agentReady": true,
        "rank": 109,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 5,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 70,
          "maintenance": 85,
          "payments": 100,
          "reliability": 55,
          "schema": 75,
          "security": 70,
          "transparency": 65
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing. The status page shows live checks only and keeps no incident history.",
        "bestFor": "Agents that must start and pay with no human sign-up, and builders testing x402 against a real inference gateway.",
        "strengths": [
          "x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing",
          "Rate limits and 429 headers published, and 400, 402, 429 and 5xx responses aren't charged",
          "Privacy policy says prompts aren't stored past the request and aren't used for training, with request metadata kept 30 days",
          "The MCP server marks every one of its 19 tools with readOnlyHint or destructiveHint, and trades need `confirm:true`",
          "Dated gateway changelog with entries most weeks, last on 2026-09-29"
        ],
        "weaknesses": [
          "The status page shows live checks only and keeps no incident history",
          "The terms say 'We do not commit to any particular uptime', and there's no SLA",
          "Models are removed on the day, with no notice period, and the terms let providers withdraw a model at any time",
          "No subprocessor list or data locations, and the privacy footer names a different entity from the terms",
          "The wallet key controls the whole balance and sits in a local file or environment variable"
        ],
        "agentNotes": [
          "Fund a dedicated wallet with a small USDC balance. The balance is the spending cap",
          "Use `blockrun_wallet` delegate with `agent_limit` before handing a sub-agent the server",
          "On a 429, wait `Retry-After` and read `X-RateLimit-Source` to fail over to the same tier on another provider",
          "Call `blockrun_models` before hard-coding a model name, since models are removed without notice",
          "Use `mode:\"free\"` for drafts and classification, paid models for generation"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 72.4
          }
        ],
        "editorialScores": {
          "ergonomics": 70,
          "maintenance": 85,
          "payments": 100,
          "reliability": 55,
          "schema": 75,
          "security": 70,
          "transparency": 50
        },
        "provenanceScore": 80
      },
      "connect": {
        "claudeCode": "claude mcp add blockrun -- npx -y @blockrun/mcp",
        "config": {
          "mcpServers": {
            "blockrun": {
              "args": [
                "-y",
                "@blockrun/mcp"
              ],
              "command": "npx",
              "env": {
                "BLOCKRUN_WALLET_KEY": "${BLOCKRUN_WALLET_KEY}"
              }
            }
          }
        },
        "x402": "curl -s -i https://blockrun.ai/api/v1/chat/completions -H 'content-type: application/json' -d '{\"model\":\"\u003cmodel\u003e\",\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}'\n# 402 Payment Required -\u003e PAYMENT-REQUIRED header -\u003e retry with PAYMENT-SIGNATURE"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/blockrun-ai"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "BlockRun, Inc.",
        "domain": "blockrun.ai",
        "domainRegistered": "2025-10-06",
        "domainNote": "The terms (updated 2026-09-02) name BlockRun, Inc., a Delaware corporation headquartered in San Francisco, while the privacy policy footer says BlockRun Labs, Inc. No founders or street address are published. The domain is under a year old. The status page is self-hosted and keeps no incident history.",
        "endpointOnVendorDomain": null,
        "terms": "https://blockrun.ai/terms",
        "privacy": "https://blockrun.ai/privacy",
        "statusPage": "https://blockrun.ai/status",
        "changelog": "https://blockrun.ai/docs/resources/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-02",
        "score": 80
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/blockrun-ai.json",
      "live": {
        "slug": "blockrun-ai",
        "vendorStatus": {
          "page": "https://blockrun.ai/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-19T09:03:03.736735243Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "BlockRunAI/blockrun-llm",
            "version": "v1.20.0",
            "released": "2026-10-12",
            "seenAt": "2026-10-19T03:38:15.690078098Z"
          },
          {
            "registry": "npm",
            "name": "@blockrun/llm",
            "version": "3.24.2",
            "seenAt": "2026-10-19T03:38:13.404354756Z"
          },
          {
            "registry": "npm",
            "name": "@blockrun/mcp",
            "version": "0.54.4",
            "seenAt": "2026-10-19T03:38:14.284235659Z"
          },
          {
            "registry": "pypi",
            "name": "blockrun-llm",
            "version": "1.20.0",
            "released": "2026-10-12",
            "seenAt": "2026-10-19T03:38:13.206635923Z"
          }
        ],
        "githubStars": 5,
        "npmWeekly": 3614,
        "pypiWeekly": 378,
        "securityTxt": {
          "url": "https://blockrun.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-18T15:53:06.721Z",
          "checkedAt": "2026-10-18T15:53:06.576872831Z"
        },
        "llmsTxt": {
          "url": "https://blockrun.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-18T14:24:24.466925629Z"
        },
        "domain": {
          "domain": "blockrun.ai",
          "registered": "2025-10-06",
          "source": "https://rdap.identitydigital.services/rdap/domain/blockrun.ai",
          "checkedAt": "2026-10-18T13:38:44.645931065Z"
        },
        "pages": [
          {
            "url": "https://blockrun.ai/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-01T13:11:21.906696649Z",
            "changedAt": "2026-09-30T13:09:43.712367412Z",
            "fingerprint": "658ca7fbc8ce"
          },
          {
            "url": "https://blockrun.ai/docs/resources/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-18T23:24:11.420776264Z",
            "changedAt": "2026-10-18T23:24:11.420776264Z",
            "fingerprint": "8acc5aef151e"
          },
          {
            "url": "https://blockrun.ai/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-18T23:24:13.818066519Z",
            "changedAt": "2026-10-18T23:24:13.818066519Z",
            "fingerprint": "c2994130a53d"
          },
          {
            "url": "https://blockrun.ai/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-18T23:24:15.649880696Z",
            "changedAt": "2026-10-18T23:24:15.649880696Z",
            "fingerprint": "398209aff841"
          }
        ],
        "github": {
          "repo": "blockrunai/blockrun-llm",
          "checkedAt": "2026-10-19T05:57:59.301487135Z",
          "stars": 5,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-12T01:40:07Z",
          "openIssues": 0,
          "openPRs": 0,
          "issuesOpened90d": 4,
          "issuesClosed90d": 4,
          "prsMerged90d": 49,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 45,
            "failure": 5,
            "other": 0,
            "latest": "success",
            "latestAt": "2026-10-12T01:41:18Z"
          },
          "replies": {
            "sampled": 6,
            "unanswered": 0,
            "medianDays": 0.4
          }
        },
        "updatedAt": "2026-10-19T09:03:03.736735243Z"
      }
    },
    "answer": "BlockRun.AI scores 72.4 (BB) on agent readiness against Cerebras Inference's 68.4 (B), and leads in 3 of 7 scored categories. Cerebras Inference leads on reliability, schema \u0026 documentation and agent ergonomics.",
    "b": {
      "slug": "cerebras-inference",
      "name": "Cerebras Inference",
      "vendor": "Cerebras Systems Inc.",
      "vendorUrl": "https://www.cerebras.ai/inference",
      "kind": "http-api",
      "category": "inference",
      "summary": "Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API. It supports streaming, structured outputs, tool calling and prompt caching, with shared and dedicated inference options.",
      "url": "https://www.anchorterminal.com/tools/cerebras-inference",
      "markdownUrl": "https://www.anchorterminal.com/tools/cerebras-inference.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cerebras-inference.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json",
      "repo": "https://github.com/Cerebras/cerebras-cloud-sdk-python",
      "license": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.cerebras.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "cerebras-cloud-sdk"
        },
        {
          "registry": "npm",
          "name": "@cerebras/cerebras_cloud_sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API keys from the Cloud Console. Paid accounts scope keys to projects; trial accounts do not have projects. Keys do not expire and can be rotated by creating a replacement and deleting the old key.",
      "pricing": "paid",
      "pricingNotes": "Pay per token. GPT OSS 120B is $0.35 per million input tokens and $0.75 per million output tokens. New accounts get $5 for 30 days only after adding a verified payment method. Dedicated capacity is priced by agreement.",
      "priceSummary": "Paid",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 payment route found in the reviewed inference and billing documentation on 19 October 2026.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 170,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://inference-docs.cerebras.ai",
      "llmsTxt": "https://inference-docs.cerebras.ai/llms.txt",
      "openapi": "https://inference-docs.cerebras.ai/api-reference/openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "http-api",
        "inference",
        "api-key",
        "openapi",
        "llms-txt",
        "paid"
      ],
      "lastRelease": "2026-10-09",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 68.4,
        "grade": "B",
        "agentReady": false,
        "rank": 233,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 20,
          "reliability": 70,
          "schema": 93,
          "security": 70,
          "transparency": 58
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.",
        "bestFor": "Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.",
        "strengths": [
          "Public OpenAPI 3.1, Markdown docs, and official Python and TypeScript SDKs",
          "Tool calling, structured outputs, streaming and prompt caching on supported models",
          "Documented project controls, usage logs and numeric request and token limits"
        ],
        "weaknesses": [
          "Trial access requires a verified payment method and ends after $5 or 30 days",
          "The GPT OSS model page and central rate-limit page disagree on trial request limits",
          "Cloud terms returned an empty page to the reader; no public shared-inference SLA was established"
        ],
        "agentNotes": [
          "Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client.",
          "Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits.",
          "Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits.",
          "Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 68.4
          }
        ],
        "editorialScores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 20,
          "reliability": 70,
          "schema": 93,
          "security": 70,
          "transparency": 45
        },
        "provenanceScore": 71
      },
      "connect": {
        "http": "curl 'https://api.cerebras.ai/v1/chat/completions' -H \"Authorization: Bearer $CEREBRAS_API_KEY\" -H 'Content-Type: application/json' -d '{\"model\": \"gpt-oss-120b\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}], \"max_tokens\": 128}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/cerebras-inference"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "GPT OSS 120B input",
          "unit": "1m-tokens",
          "usd": 0.35,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        },
        {
          "item": "GPT OSS 120B output",
          "unit": "1m-tokens",
          "usd": 0.75,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        }
      ],
      "provenance": {
        "legalEntity": "Cerebras Systems Inc.",
        "domain": "cerebras.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://cloud.cerebras.ai/terms",
        "privacy": "https://www.cerebras.ai/privacy-policy",
        "statusPage": "https://status.cerebras.ai",
        "changelog": "https://inference-docs.cerebras.ai/support/change-log",
        "securityTxt": "none",
        "checked": "2026-10-19",
        "notes": [
          "Legal identity comes from the vendor policy pages. Domain registration was not checked.",
          "The SDK repository is not the source for the hosted inference service.",
          "Cloud terms at cloud.cerebras.ai/terms returned no readable document; privacy identifies Cerebras Systems Inc.",
          "The well-known security.txt returned 404. The trust centre lists SOC 2 Type II."
        ],
        "score": 71
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cerebras-inference.json",
      "live": {
        "slug": "cerebras-inference",
        "probe": {
          "target": "https://api.cerebras.ai/v1",
          "method": "get",
          "lastAt": "2026-10-19T09:34:24.387029889Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 131,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 140,
          "p95ms24h": 194,
          "samples24h": 20,
          "samples30d": 20,
          "days": [
            {
              "date": "2026-10-19",
              "probes": 20,
              "ok": 20
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.cerebras.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-19T09:26:58.948841855Z"
        },
        "updatedAt": "2026-10-19T09:34:24.387029889Z"
      }
    },
    "facts": [
      {
        "a": "MCP server",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "BlockRun, Inc.",
        "b": "Cerebras Systems Inc.",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.cerebras.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "stdio",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Paid",
        "name": "Pricing"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT",
        "b": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
        "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": "2026-09-29",
        "b": "2026-10-09",
        "name": "Last release"
      },
      {
        "a": "2026-09-02",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-02",
        "b": "2024-08-27",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "5 stars, 679 PyPI/wk",
        "b": "170 stars",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (2)",
        "b": "3.3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "BlockRun.AI scores 72.4 (BB) on agent readiness against Cerebras Inference's 68.4 (B), and leads in 3 of 7 scored categories. Cerebras Inference leads on reliability, schema \u0026 documentation and agent ergonomics.",
        "question": "Which is better for AI agents, BlockRun.AI or Cerebras Inference?"
      },
      {
        "answer": "BlockRun.AI takes an API key or an OAuth sign-in. Cerebras Inference needs an API key. An agent can also pay BlockRun.AI per call over x402, with no account.",
        "question": "Do BlockRun.AI and Cerebras Inference need an API key?"
      },
      {
        "answer": "BlockRun.AI runs on your own machine, with no hosted endpoint listed. Cerebras Inference has a hosted endpoint at https://api.cerebras.ai/v1.",
        "question": "Can an agent call BlockRun.AI and Cerebras Inference without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 100 against 20",
          "Maintenance \u0026 community, 85 against 65",
          "Transparency \u0026 trust, 65 against 58"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "An agent can pay per call over x402, with no account",
          "Runs on your own machine"
        ],
        "goodFor": "Agents that must start and pay with no human sign-up, and builders testing x402 against a real inference gateway.",
        "slug": "blockrun-ai",
        "watchFor": "The status page shows live checks only and keeps no incident history"
      },
      {
        "aheadOn": [
          "Reliability, 70 against 55",
          "Schema \u0026 documentation, 93 against 75",
          "Agent ergonomics, 85 against 70"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.",
        "slug": "cerebras-inference",
        "watchFor": "Trial access requires a verified payment method and ends after $5 or 30 days"
      }
    ],
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
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      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.json",
        "title": "Claude API vs BlockRun.AI",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference.json",
        "title": "Claude API vs Cerebras Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai.json",
        "title": "Antseed vs BlockRun.AI",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-cerebras-inference.json",
        "title": "Antseed vs Cerebras Inference",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-cerebras-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-ai-gateway.json",
        "title": "BlockRun.AI vs Cloudflare AI Gateway",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai.json",
        "title": "BlockRun.AI vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.json",
        "title": "BlockRun.AI vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra.json",
        "title": "BlockRun.AI vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepseek-api.json",
        "title": "BlockRun.AI vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse.json",
        "title": "BlockRun.AI vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-fireworks-inference.json",
        "title": "BlockRun.AI vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-fireworks-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-api.json",
        "title": "BlockRun.AI vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-groq.json",
        "title": "BlockRun.AI vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.json",
        "title": "BlockRun.AI vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.json",
        "title": "BlockRun.AI vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.json",
        "title": "BlockRun.AI vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open.json",
        "title": "BlockRun.AI vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl.json",
        "title": "BlockRun.AI vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai.json",
        "title": "BlockRun.AI vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api.json",
        "title": "BlockRun.AI vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-openrouter.json",
        "title": "BlockRun.AI vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.json",
        "title": "BlockRun.AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam.json",
        "title": "BlockRun.AI vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-routerplus.json",
        "title": "BlockRun.AI vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova.json",
        "title": "BlockRun.AI vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow.json",
        "title": "BlockRun.AI vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api.json",
        "title": "BlockRun.AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference.json",
        "title": "BlockRun.AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-vercel-ai-gateway.json",
        "title": "BlockRun.AI vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway.json",
        "title": "Cerebras Inference vs Cloudflare AI Gateway",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.json",
        "title": "Cerebras Inference vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat.json",
        "title": "Cerebras Inference vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.json",
        "title": "Cerebras Inference vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepseek-api.json",
        "title": "Cerebras Inference vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse.json",
        "title": "Cerebras Inference vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-fireworks-inference.json",
        "title": "Cerebras Inference vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-fireworks-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-api.json",
        "title": "Cerebras Inference vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-groq.json",
        "title": "Cerebras Inference vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3.json",
        "title": "Cerebras Inference vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api.json",
        "title": "Cerebras Inference vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-mistral-api.json",
        "title": "Cerebras Inference vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open.json",
        "title": "Cerebras Inference vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.json",
        "title": "Cerebras Inference vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai.json",
        "title": "Cerebras Inference vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-openai-api.json",
        "title": "Cerebras Inference vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-openrouter.json",
        "title": "Cerebras Inference vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference.json",
        "title": "Cerebras Inference vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-reflection-beam.json",
        "title": "Cerebras Inference vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-routerplus.json",
        "title": "Cerebras Inference vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-sambanova.json",
        "title": "Cerebras Inference vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-siliconflow.json",
        "title": "Cerebras Inference vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-stepfun-api.json",
        "title": "Cerebras Inference vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.json",
        "title": "Cerebras Inference vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-vercel-ai-gateway.json",
        "title": "Cerebras Inference vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-vercel-ai-gateway"
      }
    ],
    "scores": [
      {
        "blockrun-ai": 55,
        "by": 15,
        "cerebras-inference": 70,
        "edge": "cerebras-inference",
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "blockrun-ai": 75,
        "by": 18,
        "cerebras-inference": 93,
        "edge": "cerebras-inference",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "blockrun-ai": 70,
        "by": 15,
        "cerebras-inference": 85,
        "edge": "cerebras-inference",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "blockrun-ai": 70,
        "by": 0,
        "cerebras-inference": 70,
        "edge": "",
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "blockrun-ai": 100,
        "by": 80,
        "cerebras-inference": 20,
        "edge": "blockrun-ai",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "blockrun-ai": 85,
        "by": 20,
        "cerebras-inference": 65,
        "edge": "blockrun-ai",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "blockrun-ai": 65,
        "by": 7,
        "cerebras-inference": 58,
        "edge": "blockrun-ai",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "BlockRun.AI scores 72.4 (BB) on agent readiness against Cerebras Inference's 68.4 (B), and leads in 3 of 7 scored categories. Cerebras Inference leads on reliability, schema \u0026 documentation and agent ergonomics. Both do llm inference. BlockRun.AI accepts x402. Cerebras Inference doesn't.",
    "tutorials": [],
    "verdicts": {
      "blockrun-ai": "x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing. The status page shows live checks only and keeps no incident history.",
      "cerebras-inference": "An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ."
    }
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  "kind": "anchor.page",
  "links": {
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    "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cerebras-inference.json",
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  "markdown": "BlockRun.AI scores 72.4 (BB) on agent readiness against Cerebras Inference's 68.4 (B), and leads in 3 of 7 scored categories. Cerebras Inference leads on reliability, schema \u0026 documentation and agent ergonomics. Both do llm inference. BlockRun.AI accepts x402. Cerebras Inference doesn't.\n\n- BlockRun.AI: grade BB, 72.4/100, rank #109 of 1171. Markdown https://www.anchorterminal.com/tools/blockrun-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json\n- Cerebras Inference: grade B, 68.4/100, rank #233 of 1171. Markdown https://www.anchorterminal.com/tools/cerebras-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 407 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### BlockRun.AI (BB)\n\nGood for: Agents that must start and pay with no human sign-up, and builders testing x402 against a real inference gateway.\n\nAhead on:\n- Payments \u0026 pricing, 100 against 20\n- Maintenance \u0026 community, 85 against 65\n- Transparency \u0026 trust, 65 against 58\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- An agent can pay per call over x402, with no account\n- Runs on your own machine\n\nWatch for: The status page shows live checks only and keeps no incident history\n\n### Cerebras Inference (B)\n\nGood for: Cerebras Inference serves language models on Cerebras wafer-scale processors through an OpenAI-compatible API.\n\nAhead on:\n- Reliability, 70 against 55\n- Schema \u0026 documentation, 93 against 75\n- Agent ergonomics, 85 against 70\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Trial access requires a verified payment method and ends after $5 or 30 days\n\n\n## Score by category\n\n| Category | Weight | BlockRun.AI | Cerebras Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 70 | Cerebras Inference +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 75 | 93 | Cerebras Inference +18 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 85 | Cerebras Inference +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 70 | even |\n| Payments \u0026 pricing | 10% (12.5 this run) | 100 | 20 | BlockRun.AI +80 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 65 | BlockRun.AI +20 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 58 | BlockRun.AI +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **72.4 · BB** | **68.4 · B** | |\n\n## Facts side by side\n\n| Fact | BlockRun.AI | Cerebras Inference |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | BlockRun, Inc. | Cerebras Systems Inc. |\n| Hosted endpoint | no (local only) | `https://api.cerebras.ai/v1` |\n| Transports | stdio | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Paid |\n| x402 | yes | no |\n| Licence | MIT | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. |\n| Tools exposed | 19 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-29 | 2026-10-09 |\n| Terms last updated | 2026-09-02 | couldn't be read |\n| Privacy policy last updated | 2026-09-02 | 2024-08-27 |\n| Customer content may train models | not found in the text | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | not found in the text | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | not found in the text | couldn't be read |\n| Popularity | 5 stars, 679 PyPI/wk | 170 stars |\n| Agent reviews | 3.5/5 (2) | 3.3/5 (4) |\n\n## Verdicts\n\n**BlockRun.AI.** x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing. The status page shows live checks only and keeps no incident history.\n\n**Cerebras Inference.** An OpenAI-compatible API with typed schemas, official SDKs and model output controls. Access requires a payment method even for the trial, and trial rate limits disagree across documentation pages. Shared-model availability and dedicated-model availability differ.\n\n## Before you call either\n\n### BlockRun.AI\n\n1. Fund a dedicated wallet with a small USDC balance. The balance is the spending cap\n2. Use `blockrun_wallet` delegate with `agent_limit` before handing a sub-agent the server\n3. On a 429, wait `Retry-After` and read `X-RateLimit-Source` to fail over to the same tier on another provider\n4. Call `blockrun_models` before hard-coding a model name, since models are removed without notice\n5. Use `mode:\"free\"` for drafts and classification, paid models for generation\n\n### Cerebras Inference\n\n1. Set CEREBRAS_API_KEY and use https://api.cerebras.ai/v1 with an OpenAI-compatible client.\n2. Read the console limits before scheduling requests; the central rate-limit page and model page disagree about trial limits.\n3. Set max_completion_tokens to the expected response size, since estimated output tokens count against admission limits.\n4. Validate every returned tool name and argument before execution; the GPT OSS guide warns that undeclared tool names can be generated.\n\n## Questions\n\n### Which is better for AI agents, BlockRun.AI or Cerebras Inference?\n\nBlockRun.AI scores 72.4 (BB) on agent readiness against Cerebras Inference's 68.4 (B), and leads in 3 of 7 scored categories. Cerebras Inference leads on reliability, schema \u0026 documentation and agent ergonomics.\n\n### Do BlockRun.AI and Cerebras Inference need an API key?\n\nBlockRun.AI takes an API key or an OAuth sign-in. Cerebras Inference needs an API key. An agent can also pay BlockRun.AI per call over x402, with no account.\n\n### Can an agent call BlockRun.AI and Cerebras Inference without installing anything?\n\nBlockRun.AI runs on your own machine, with no hosted endpoint listed. Cerebras Inference has a hosted endpoint at https://api.cerebras.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/blockrun-ai-vs-cerebras-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/blockrun-ai-vs-cerebras-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"blockrun-ai\", \"b\": \"cerebras-inference\"}`. From a terminal: `anchor compare blockrun-ai cerebras-inference`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json and https://www.anchorterminal.com/api/v1/tools/cerebras-inference.json\n\n## Other comparisons with BlockRun.AI or Cerebras Inference\n\n- [Claude API vs BlockRun.AI](https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.md)\n- [Claude API vs Cerebras Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-cerebras-inference.md)\n- [Antseed vs BlockRun.AI](https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai.md)\n- [Antseed vs Cerebras Inference](https://www.anchorterminal.com/compare/antseed-vs-cerebras-inference.md)\n- [BlockRun.AI vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-ai-gateway.md)\n- [BlockRun.AI vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai.md)\n- [BlockRun.AI vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.md)\n- [BlockRun.AI vs DeepInfra](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra.md)\n- [BlockRun.AI vs DeepSeek API](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepseek-api.md)\n- [BlockRun.AI vs Glimpse](https://www.anchorterminal.com/compare/blockrun-ai-vs-elorian-glimpse.md)\n- [BlockRun.AI vs Fireworks AI Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-fireworks-inference.md)\n- [BlockRun.AI vs Gemini Developer API](https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-api.md)\n- [BlockRun.AI vs GroqCloud](https://www.anchorterminal.com/compare/blockrun-ai-vs-groq.md)\n- [BlockRun.AI vs Jais 3](https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.md)\n- [BlockRun.AI vs Meta Model API](https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.md)\n- [BlockRun.AI vs Mistral AI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.md)\n- [BlockRun.AI vs Muse Spark Open](https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-spark-open.md)\n- [BlockRun.AI vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl.md)\n- [BlockRun.AI vs Novita AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-novita-ai.md)\n- [BlockRun.AI vs OpenAI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api.md)\n- [BlockRun.AI vs OpenRouter](https://www.anchorterminal.com/compare/blockrun-ai-vs-openrouter.md)\n- [BlockRun.AI vs Prism Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.md)\n- [BlockRun.AI vs Beam 1.0](https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam.md)\n- [BlockRun.AI vs RouterPlus](https://www.anchorterminal.com/compare/blockrun-ai-vs-routerplus.md)\n- [BlockRun.AI vs SambaCloud](https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova.md)\n- [BlockRun.AI vs SiliconFlow](https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow.md)\n- [BlockRun.AI vs StepFun API](https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api.md)\n- [BlockRun.AI vs Together AI Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference.md)\n- [BlockRun.AI vs Vercel AI Gateway](https://www.anchorterminal.com/compare/blockrun-ai-vs-vercel-ai-gateway.md)\n- [Cerebras Inference vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway.md)\n- [Cerebras Inference vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.md)\n- [Cerebras Inference vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat.md)\n- [Cerebras Inference vs DeepInfra](https://www.anchorterminal.com/compare/cerebras-inference-vs-deepinfra.md)\n- [Cerebras Inference vs DeepSeek API](https://www.anchorterminal.com/compare/cerebras-inference-vs-deepseek-api.md)\n- [Cerebras Inference vs Glimpse](https://www.anchorterminal.com/compare/cerebras-inference-vs-elorian-glimpse.md)\n- [Cerebras Inference vs Fireworks AI Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-fireworks-inference.md)\n- [Cerebras Inference vs Gemini Developer API](https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-api.md)\n- [Cerebras Inference vs GroqCloud](https://www.anchorterminal.com/compare/cerebras-inference-vs-groq.md)\n- [Cerebras Inference vs Jais 3](https://www.anchorterminal.com/compare/cerebras-inference-vs-jais-3.md)\n- [Cerebras Inference vs Meta Model API](https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api.md)\n- [Cerebras Inference vs Mistral AI API](https://www.anchorterminal.com/compare/cerebras-inference-vs-mistral-api.md)\n- [Cerebras Inference vs Muse Spark Open](https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-spark-open.md)\n- [Cerebras Inference vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.md)\n- [Cerebras Inference vs Novita AI](https://www.anchorterminal.com/compare/cerebras-inference-vs-novita-ai.md)\n- [Cerebras Inference vs OpenAI API](https://www.anchorterminal.com/compare/cerebras-inference-vs-openai-api.md)\n- [Cerebras Inference vs OpenRouter](https://www.anchorterminal.com/compare/cerebras-inference-vs-openrouter.md)\n- [Cerebras Inference vs Prism Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference.md)\n- [Cerebras Inference vs Beam 1.0](https://www.anchorterminal.com/compare/cerebras-inference-vs-reflection-beam.md)\n- [Cerebras Inference vs RouterPlus](https://www.anchorterminal.com/compare/cerebras-inference-vs-routerplus.md)\n- [Cerebras Inference vs SambaCloud](https://www.anchorterminal.com/compare/cerebras-inference-vs-sambanova.md)\n- [Cerebras Inference vs SiliconFlow](https://www.anchorterminal.com/compare/cerebras-inference-vs-siliconflow.md)\n- [Cerebras Inference vs StepFun API](https://www.anchorterminal.com/compare/cerebras-inference-vs-stepfun-api.md)\n- [Cerebras Inference vs Together AI Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.md)\n- [Cerebras Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/cerebras-inference-vs-vercel-ai-gateway.md)\n",
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