{
  "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": 72.5,
        "grade": "BB",
        "agentReady": true,
        "rank": 68,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 4,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 70,
          "maintenance": 85,
          "payments": 100,
          "reliability": 55,
          "schema": 75,
          "security": 70,
          "transparency": 66
        },
        "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.",
        "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": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 72.5
          }
        ],
        "editorialScores": {
          "ergonomics": 70,
          "maintenance": 85,
          "payments": 100,
          "reliability": 55,
          "schema": 75,
          "security": 70,
          "transparency": 50
        },
        "provenanceScore": 82
      },
      "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": 82
      },
      "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": "2026-10-04T21:39:52.03497912Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "BlockRunAI/blockrun-llm",
            "version": "v1.17.1",
            "released": "2026-09-30",
            "seenAt": "2026-10-04T16:22:29.493424562Z"
          },
          {
            "registry": "npm",
            "name": "@blockrun/llm",
            "version": "3.19.1",
            "seenAt": "2026-10-04T16:22:27.267146085Z"
          },
          {
            "registry": "npm",
            "name": "@blockrun/mcp",
            "version": "0.54.0",
            "seenAt": "2026-10-04T16:22:28.075333076Z"
          },
          {
            "registry": "pypi",
            "name": "blockrun-llm",
            "version": "1.18.1",
            "released": "2026-10-02",
            "seenAt": "2026-10-04T16:22:27.081231057Z"
          }
        ],
        "githubStars": 5,
        "npmWeekly": 2979,
        "pypiWeekly": 469,
        "securityTxt": {
          "url": "https://blockrun.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-04T15:15:38.334Z",
          "checkedAt": "2026-10-04T15:15:38.196553355Z"
        },
        "llmsTxt": {
          "url": "https://blockrun.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:21.142275374Z"
        },
        "domain": {
          "domain": "blockrun.ai",
          "registered": "2025-10-06",
          "source": "https://rdap.identitydigital.services/rdap/domain/blockrun.ai",
          "checkedAt": "2026-10-04T13:10:06.086473367Z"
        },
        "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": "2026-10-04T15:41:34.46216301Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9904d3214059"
          },
          {
            "url": "https://blockrun.ai/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:41:36.861379666Z",
            "changedAt": "2026-10-02T15:17:58.030081399Z",
            "fingerprint": "88c624a6ce29"
          },
          {
            "url": "https://blockrun.ai/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:41:38.615219916Z",
            "changedAt": "2026-10-02T15:17:59.772160605Z",
            "fingerprint": "277af29b5c6e"
          }
        ],
        "updatedAt": "2026-10-04T21:39:52.03497912Z"
      }
    },
    "b": {
      "slug": "mistral-api",
      "name": "Mistral AI API",
      "vendor": "Mistral AI",
      "vendorUrl": "https://mistral.ai",
      "kind": "model",
      "category": "inference",
      "summary": "Mistral's API for its open-weight and proprietary models, with EU and US regional endpoints.",
      "url": "https://www.anchorterminal.com/tools/mistral-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/mistral-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mistral-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mistral-api.json",
      "repo": "https://github.com/mistralai/client-python",
      "license": "Apache-2.0 (SDKs)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.mistral.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "mistralai"
        },
        {
          "registry": "npm",
          "name": "@mistralai/mistralai"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer key. Regional EU and US endpoints are opt-in.",
      "pricing": "freemium",
      "pricingNotes": "Free Experiment tier with no card, but a phone number, and its data may be used for training. Cached input 10% of the input price, batch half price, regional endpoints 1.1x. Also resells Z.ai GLM 5.3 at $1.40/$4.40 (https://mistral.ai/pricing/api/).",
      "priceSummary": "from $0.10 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 769,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://docs.mistral.ai",
      "rateLimitsUrl": "https://docs.mistral.ai/admin/user-management-finops/tier",
      "llmsTxt": "https://docs.mistral.ai/llms.txt",
      "openapi": "https://docs.mistral.ai/openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "eu",
        "open-weights",
        "free-tier",
        "openapi",
        "llms-txt"
      ],
      "lastRelease": "2026-09-30",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 71.3,
        "grade": "BB",
        "agentReady": true,
        "rank": 86,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 5,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 91,
          "maintenance": 88,
          "payments": 40,
          "reliability": 50,
          "schema": 93,
          "security": 66,
          "transparency": 82
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.",
        "strengths": [
          "Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins",
          "Minimum 6 months' notice before a GA model retires, and retired ids return 404",
          "Workspace-scoped API keys with expiry dates, and service accounts bound to workspace roles",
          "Opt-in EU and US regional endpoints, at 1.1x",
          "Free Experiment tier with no card, and Batch at half price"
        ],
        "weaknesses": [
          "Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting",
          "The terms don't say whether the paid API trains by default",
          "Labs, preview and third-party models get only 1 month's notice",
          "Rate-limit numbers are only in the console, and no SLA found",
          "17 Completion, Conversations and Batch API incidents on the status page in August 2026, and an elevated error rate for 2 hours 40 minutes on 29 September"
        ],
        "agentNotes": [
          "Stay off `labs-*` and preview models for anything confidential",
          "Use the EU endpoint when data has to stay in Europe and budget the 10% uplift",
          "Treat a 404 on a model id as retirement and read the lifecycle page for the replacement",
          "Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output",
          "Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 4,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 71.3
          }
        ],
        "editorialScores": {
          "ergonomics": 91,
          "maintenance": 88,
          "payments": 40,
          "reliability": 50,
          "schema": 93,
          "security": 66,
          "transparency": 68
        },
        "provenanceScore": 96
      },
      "connect": {
        "install": "pip install mistralai   # or: npm i @mistralai/mistralai",
        "http": "curl https://api.mistral.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $MISTRAL_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"mistral-medium-3-5\",\"messages\":[{\"role\":\"user\",\"content\":\"bonjour\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/mistral-api"
      },
      "sameCompany": [
        "mistral-embeddings",
        "mistral-moderation",
        "mistral-ocr"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "Mistral AI (RCS Paris 952 418 325)",
        "domain": "mistral.ai",
        "domainRegistered": "2019-05-15",
        "endpointOnVendorDomain": true,
        "terms": "https://legal.mistral.ai/terms/commercial-terms-of-service",
        "privacy": "https://legal.mistral.ai/terms/privacy-policy",
        "statusPage": "https://status.mistral.ai",
        "changelog": "https://docs.mistral.ai/resources/changelogs",
        "securityTxt": "valid",
        "checked": "2026-09-26",
        "score": 96
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mistral-api.json",
      "live": {
        "slug": "mistral-api",
        "probe": {
          "target": "https://api.mistral.ai/v1",
          "method": "get",
          "lastAt": "2026-10-05T03:17:29.238229591Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 69,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 69,
          "p95ms24h": 132,
          "samples24h": 273,
          "samples30d": 2094,
          "days": [
            {
              "date": "2026-09-27",
              "probes": 132,
              "ok": 132
            },
            {
              "date": "2026-09-28",
              "probes": 285,
              "ok": 285
            },
            {
              "date": "2026-09-29",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-09-30",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "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": 38,
              "ok": 38
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.mistral.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:15.565985756Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "mistralai/client-python",
            "version": "v3.0.0",
            "released": "2026-09-28",
            "seenAt": "2026-10-04T16:33:23.051647439Z"
          },
          {
            "registry": "npm",
            "name": "@mistralai/mistralai",
            "version": "2.7.0",
            "seenAt": "2026-10-04T16:33:22.764694315Z"
          },
          {
            "registry": "pypi",
            "name": "mistralai",
            "version": "3.0.0",
            "released": "2026-09-28",
            "seenAt": "2026-10-04T16:33:22.654149935Z"
          }
        ],
        "githubStars": 770,
        "npmWeekly": 9114363,
        "pypiWeekly": 3373641,
        "securityTxt": {
          "url": "https://mistral.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-05-05T23:59:59.000Z",
          "checkedAt": "2026-10-04T15:15:48.706102345Z"
        },
        "llmsTxt": {
          "url": "https://docs.mistral.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:58.92519024Z"
        },
        "domain": {
          "domain": "mistral.ai",
          "registered": "2019-05-15",
          "source": "https://rdap.identitydigital.services/rdap/domain/mistral.ai",
          "checkedAt": "2026-10-04T13:08:59.683466691Z"
        },
        "pages": [
          {
            "url": "https://docs.mistral.ai/resources/changelogs",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-10-04T15:43:49.308512254Z",
            "changedAt": "2026-09-30T13:10:08.406218426Z",
            "fingerprint": "c99ac06ec6e6"
          },
          {
            "url": "https://legal.mistral.ai/terms/commercial-terms-of-service",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-10-04T15:45:28.95518104Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "227daf1e9929"
          },
          {
            "url": "https://mistral.ai/pricing/api/",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:46:00.312568088Z",
            "changedAt": "2026-09-30T13:10:31.535464631Z",
            "fingerprint": "50653a6ec4b5"
          },
          {
            "url": "https://legal.mistral.ai/terms/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:45:31.171440338Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e74211012ef6"
          }
        ],
        "models": {
          "ministral-3b-2512": {
            "openrouterId": "mistralai/ministral-3b-2512",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": false,
            "input": [
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 131072,
            "maxOutput": 104857,
            "checkedAt": "2026-10-04T21:56:15.872733218Z"
          },
          "mistral-large-2512": {
            "openrouterId": "mistralai/mistral-large-2512",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": false,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 262144,
            "maxOutput": 209715,
            "checkedAt": "2026-10-04T21:56:15.872733218Z"
          },
          "mistral-medium-3-5": {
            "openrouterId": "mistralai/mistral-medium-3-5",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": false,
            "contextTokens": 262144,
            "maxOutput": 209715,
            "checkedAt": "2026-10-04T21:56:15.872733218Z"
          },
          "mistral-small-2603": {
            "openrouterId": "mistralai/mistral-small-2603",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 262144,
            "maxOutput": 209715,
            "checkedAt": "2026-10-04T21:56:15.872733218Z"
          }
        },
        "updatedAt": "2026-10-05T03:17:29.238229591Z"
      }
    },
    "summary": "BlockRun.AI has a score of 72.5 (BB) against Mistral AI API's 71.3 (BB). Both do llm inference. The largest gap is payments \u0026 pricing, 60 points. BlockRun.AI accepts x402. Mistral AI API doesn't."
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api",
    "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.md",
    "slim": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.min.md"
  },
  "markdown": "BlockRun.AI has a score of 72.5 (BB) against Mistral AI API's 71.3 (BB). Both do llm inference. The largest gap is payments \u0026 pricing, 60 points. BlockRun.AI accepts x402. Mistral AI API doesn't.\n\n- BlockRun.AI: grade BB, 72.5/100, rank #68 of 452. Markdown https://www.anchorterminal.com/tools/blockrun-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json\n- Mistral AI API: grade BB, 71.3/100, rank #86 of 452. Markdown https://www.anchorterminal.com/tools/mistral-api.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-api.json\n\n## Which one, for what\n\nPick BlockRun.AI for reliability (+5), payments \u0026 pricing (+60).\n\nPick Mistral AI API for schema \u0026 documentation (+18), agent ergonomics (+21), transparency \u0026 trust (+16).\n\n## Score by category\n\n| Category | Weight | BlockRun.AI | Mistral AI API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 50 | BlockRun.AI +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 75 | 93 | Mistral AI API +18 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 91 | Mistral AI API +21 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 66 | BlockRun.AI +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 100 | 40 | BlockRun.AI +60 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 88 | Mistral AI API +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 82 | Mistral AI API +16 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **72.5 · BB** | **71.3 · BB** | |\n\n## Facts side by side\n\n| Fact | BlockRun.AI | Mistral AI API |\n| --- | --- | --- |\n| Kind | MCP server | Model API |\n| Vendor | BlockRun, Inc. | Mistral AI |\n| Hosted endpoint | no (local only) | `https://api.mistral.ai/v1` |\n| Transports | stdio | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | yes | no |\n| Licence | MIT | Apache-2.0 (SDKs) |\n| Tools exposed | 19 | none |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-29 | 2026-09-30 |\n| Popularity | 5 stars, 679 PyPI/wk | 769 stars |\n| Agent reviews | 3.5/5 (2) | 4/5 (2) |\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**Mistral AI API.** Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.\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### Mistral AI API\n\n1. Stay off `labs-*` and preview models for anything confidential\n2. Use the EU endpoint when data has to stay in Europe and budget the 10% uplift\n3. Treat a 404 on a model id as retirement and read the lifecycle page for the replacement\n4. Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output\n5. Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's\n\n## Other comparisons with BlockRun.AI or Mistral AI API\n\n- [Claude API vs BlockRun.AI](https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.md)\n- [Claude API vs Mistral AI API](https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api.md)\n- [BlockRun.AI vs DeepSeek API](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepseek-api.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 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- [DeepSeek API vs Mistral AI API](https://www.anchorterminal.com/compare/deepseek-api-vs-mistral-api.md)\n- [Gemini Developer API vs Mistral AI API](https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api.md)\n- [GroqCloud vs Mistral AI API](https://www.anchorterminal.com/compare/groq-vs-mistral-api.md)\n- [Mistral AI API vs OpenAI API](https://www.anchorterminal.com/compare/mistral-api-vs-openai-api.md)\n- [Mistral AI API vs OpenRouter](https://www.anchorterminal.com/compare/mistral-api-vs-openrouter.md)\n",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-05",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.3",
    "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": "BlockRun.AI vs Mistral AI API",
        "url": ""
      }
    ],
    "description": "BlockRun.AI has a score of 72.5 (BB) against Mistral AI API's 71.3 (BB). Both do llm inference. The largest gap is payments \u0026 pricing, 60 points. BlockRun.AI accepts x402. Mistral AI API doesn't. Category scores, facts, verdicts and agent notes side by side.",
    "facts": [
      "BlockRun.AI BB 72.5",
      "Mistral AI API BB 71.3",
      "scores"
    ],
    "h1": "BlockRun.AI vs Mistral AI API",
    "image": "https://www.anchorterminal.com/assets/og/compare-blockrun-ai-vs-mistral-api.png",
    "path": "/compare/blockrun-ai-vs-mistral-api",
    "published": "2026-10-01",
    "section": "tools",
    "title": "BlockRun.AI vs Mistral AI API for AI agents, BB 72.5 vs BB 71.3",
    "toc": null,
    "updated": "2026-10-05",
    "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api"
  },
  "tokens": {
    "markdown": 1450,
    "slim": 330
  },
  "version": 1
}