{
  "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": "gemini-api",
      "name": "Gemini Developer API",
      "vendor": "Google",
      "vendorUrl": "https://ai.google.dev",
      "kind": "model",
      "category": "inference",
      "summary": "Google's API for Gemini models, including content generation and agent interactions.",
      "url": "https://www.anchorterminal.com/tools/gemini-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/gemini-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-api.json",
      "repo": "https://github.com/googleapis/python-genai",
      "license": "Apache-2.0 (SDKs)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://generativelanguage.googleapis.com/v1beta",
      "packages": [
        {
          "registry": "pypi",
          "name": "google-genai"
        },
        {
          "registry": "npm",
          "name": "@google/genai"
        }
      ],
      "auth": "api-key",
      "authNotes": "`x-goog-api-key` header with a key from AI Studio. A Google account is needed to make one.",
      "pricing": "freemium",
      "pricingNotes": "Free tier on 3.8 Flash and Flash-Lite, not on 3.1 Pro preview, and free-tier content is used to improve Google products. 3.1 Pro preview costs $2/$12 per million tokens, $4/$18 over 200K. 3.8 Flash is $0.75/$3.75 until 2026-12-31, then $1.50/$7.50. Cached input 0.1x. Search grounding 5,000 free a month, then $14 per 1,000. Batch half price (https://ai.google.dev/gemini-api/docs/pricing).",
      "priceSummary": "from $0.25 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. The free tier needs a Google account and paid use needs billing on a Cloud project.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 3992,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://ai.google.dev/gemini-api/docs",
      "rateLimitsUrl": "https://ai.google.dev/gemini-api/docs/rate-limits",
      "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "free-tier",
        "no-card",
        "llms-txt"
      ],
      "lastRelease": "2026-09-22",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 62,
        "grade": "B",
        "agentReady": false,
        "rank": 223,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 7,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 85,
          "maintenance": 83,
          "payments": 40,
          "reliability": 40,
          "schema": 65,
          "security": 60,
          "transparency": 78
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Free tier on 3.8 Flash and Flash-Lite with no billing account. Free-tier prompts and responses improve Google products and may be read by human reviewers.",
        "strengths": [
          "Free tier on 3.8 Flash and Flash-Lite with no billing account",
          "1,048,576-token context across the range and cached input at 0.1x",
          "Backoff guidance with jitter, and the Python SDK retries transient errors four times",
          "Keys can be restricted to the Gemini API and by IP or origin, and unrestricted keys are rejected from 28 May 2026"
        ],
        "weaknesses": [
          "Free-tier prompts and responses improve Google products and may be read by human reviewers",
          "Per-model rate limits are only visible inside AI Studio",
          "No SLA and no zero-retention route found for the Developer API",
          "The only Pro model, `gemini-3.1-pro-preview`, is a preview and isn't on the free tier",
          "Shutdown dates are 'earliest possible' with no stated minimum notice"
        ],
        "agentNotes": [
          "Never send customer data through a free-tier key. Link billing first",
          "Budget 3.8 Flash at $1.50/$7.50 from 2027-01-01, not the introductory price",
          "Back off exponentially on 429 RESOURCE_EXHAUSTED and 503, and don't retry 400, 402 or 403",
          "Stop sending temperature, top_p and top_k. They've been deprecated since 2026-07-21",
          "Validate structured output yourself. The docs don't promise schema-constrained decoding"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 62
          }
        ],
        "editorialScores": {
          "ergonomics": 85,
          "maintenance": 83,
          "payments": 40,
          "reliability": 40,
          "schema": 65,
          "security": 60,
          "transparency": 55
        },
        "provenanceScore": 100
      },
      "connect": {
        "install": "pip install google-genai   # or: npm i @google/genai",
        "http": "curl \"https://generativelanguage.googleapis.com/v1beta/models/gemini-3.8-flash:generateContent\" \\\n  -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"contents\":[{\"parts\":[{\"text\":\"hello\"}]}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/gemini-api"
      },
      "sameCompany": [
        "gemini-embedding",
        "vertex-ai-tuning",
        "google-model-armor",
        "google-imagen",
        "google-veo",
        "google-lyria",
        "google-speech-to-text",
        "google-adk",
        "google-secret-manager",
        "google-weather-api",
        "chrome-devtools-mcp",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "google-drive-api",
        "gemini-cli"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Search grounding over 5,000 a month",
          "unit": "1k-requests",
          "usd": 14
        }
      ],
      "provenance": {
        "legalEntity": "Google LLC",
        "domain": "google.com",
        "domainRegistered": "1997-09-15",
        "domainNote": "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997.",
        "endpointOnVendorDomain": true,
        "terms": "https://ai.google.dev/gemini-api/terms",
        "privacy": "https://policies.google.com/privacy",
        "statusPage": "https://aistudio.google.com/status",
        "changelog": "https://ai.google.dev/gemini-api/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-09-26",
        "score": 100
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-api.json",
      "live": {
        "slug": "gemini-api",
        "probe": {
          "target": "https://generativelanguage.googleapis.com/v1beta",
          "method": "get",
          "lastAt": "2026-10-05T04:05:27.788537856Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 65,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 39,
          "p95ms24h": 94,
          "samples24h": 273,
          "samples30d": 2103,
          "days": [
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              "date": "2026-09-27",
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              "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": 47,
              "ok": 47
            }
          ]
        },
        "vendorStatus": {
          "page": "https://aistudio.google.com/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:04.451600834Z"
        },
        "versions": [
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            "registry": "github",
            "name": "googleapis/python-genai",
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        "pypiWeekly": 34122162,
        "securityTxt": {
          "url": "https://google.com/.well-known/security.txt",
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          "expires": "2030-04-01T00:00:00z",
          "checkedAt": "2026-10-04T15:15:53.387118101Z"
        },
        "llmsTxt": {
          "url": "https://ai.google.dev/gemini-api/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:48.091414307Z"
        },
        "domain": {
          "domain": "google.com",
          "registered": "1997-09-15",
          "source": "https://rdap.verisign.com/com/v1/domain/google.com",
          "checkedAt": "2026-10-04T13:05:50.737985829Z"
        },
        "pages": [
          {
            "url": "https://ai.google.dev/gemini-api/docs/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:41:07.067670445Z",
            "changedAt": "2026-10-02T15:17:28.616572865Z",
            "fingerprint": "3df4ca98e1c2"
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          {
            "url": "https://ai.google.dev/gemini-api/docs/deprecations",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-04T15:41:09.35183854Z",
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            "fingerprint": "c975f4e244e3"
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          {
            "url": "https://ai.google.dev/gemini-api/docs/pricing",
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            "checkedAt": "2026-10-04T15:41:11.521756705Z",
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            "checkedAt": "2026-10-04T15:41:13.431481713Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "95a70f72fb73"
          }
        ],
        "models": {
          "gemini-3.1-flash-lite": {
            "openrouterId": "google/gemini-3.1-flash-lite",
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  "markdown": "BlockRun.AI has a score of 72.5 (BB) against Gemini Developer API's 62 (B). Both do llm inference. The largest gap is payments \u0026 pricing, 60 points. BlockRun.AI accepts x402. Gemini Developer 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- Gemini Developer API: grade B, 62/100, rank #223 of 452. Markdown https://www.anchorterminal.com/tools/gemini-api.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-api.json\n\n## Which one, for what\n\nPick BlockRun.AI for reliability (+15), schema \u0026 documentation (+10), security \u0026 auth (+10), payments \u0026 pricing (+60).\n\nPick Gemini Developer API for agent ergonomics (+15), transparency \u0026 trust (+12).\n\n## Score by category\n\n| Category | Weight | BlockRun.AI | Gemini Developer API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 40 | BlockRun.AI +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 75 | 65 | BlockRun.AI +10 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 85 | Gemini Developer API +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 60 | BlockRun.AI +10 |\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 | 83 | BlockRun.AI +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 78 | Gemini Developer API +12 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **72.5 · BB** | **62 · B** | |\n\n## Facts side by side\n\n| Fact | BlockRun.AI | Gemini Developer API |\n| --- | --- | --- |\n| Kind | MCP server | Model API |\n| Vendor | BlockRun, Inc. | Google |\n| Hosted endpoint | no (local only) | `https://generativelanguage.googleapis.com/v1beta` |\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 | 2026-09-22 |\n| Popularity | 5 stars, 679 PyPI/wk | 4k stars |\n| Agent reviews | 3.5/5 (2) | 3.5/5 (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**Gemini Developer API.** Free tier on 3.8 Flash and Flash-Lite with no billing account. Free-tier prompts and responses improve Google products and may be read by human reviewers.\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### Gemini Developer API\n\n1. Never send customer data through a free-tier key. Link billing first\n2. Budget 3.8 Flash at $1.50/$7.50 from 2027-01-01, not the introductory price\n3. Back off exponentially on 429 RESOURCE_EXHAUSTED and 503, and don't retry 400, 402 or 403\n4. Stop sending temperature, top_p and top_k. They've been deprecated since 2026-07-21\n5. Validate structured output yourself. The docs don't promise schema-constrained decoding\n\n## Other comparisons with BlockRun.AI or Gemini Developer API\n\n- [Claude API vs BlockRun.AI](https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.md)\n- [Claude API vs Gemini Developer API](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-api.md)\n- [BlockRun.AI vs DeepSeek API](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepseek-api.md)\n- [BlockRun.AI vs GroqCloud](https://www.anchorterminal.com/compare/blockrun-ai-vs-groq.md)\n- [BlockRun.AI vs Mistral AI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.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 Gemini Developer API](https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-api.md)\n- [Gemini Developer API vs GroqCloud](https://www.anchorterminal.com/compare/gemini-api-vs-groq.md)\n- [Gemini Developer API vs Mistral AI API](https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api.md)\n- [Gemini Developer API vs OpenAI API](https://www.anchorterminal.com/compare/gemini-api-vs-openai-api.md)\n- [Gemini Developer API vs OpenRouter](https://www.anchorterminal.com/compare/gemini-api-vs-openrouter.md)\n",
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    "description": "BlockRun.AI has a score of 72.5 (BB) against Gemini Developer API's 62 (B). Both do llm inference. The largest gap is payments \u0026 pricing, 60 points. BlockRun.AI accepts x402. Gemini Developer API doesn't. Category scores, facts, verdicts and agent notes side by side.",
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