{ "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": 104, "ranked": true, "rankOf": 950, "categoryRank": 4, "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": "2026-10-10T00:50:10.740211562Z" }, "versions": [ { "registry": "github", "name": "BlockRunAI/blockrun-llm", "version": "v1.17.1", "released": "2026-09-30", "seenAt": "2026-10-09T16:43:11.157214264Z" }, { "registry": "npm", "name": "@blockrun/llm", "version": "3.20.1", "seenAt": "2026-10-09T16:43:08.936996037Z" }, { "registry": "npm", "name": "@blockrun/mcp", "version": "0.54.2", "seenAt": "2026-10-09T16:43:09.755794892Z" }, { "registry": "pypi", "name": "blockrun-llm", "version": "1.18.1", "released": "2026-10-02", "seenAt": "2026-10-09T16:43:08.742088908Z" } ], "githubStars": 5, "npmWeekly": 3405, "pypiWeekly": 795, "securityTxt": { "url": "https://blockrun.ai/.well-known/security.txt", "state": "valid", "expires": "2027-10-09T15:39:14.162Z", "checkedAt": "2026-10-09T15:39:13.893092195Z" }, "llmsTxt": { "url": "https://blockrun.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:01:32.215620416Z" }, "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": "2026-10-09T18:33:10.292397535Z", "changedAt": "2026-10-09T18:33:10.292397535Z", "fingerprint": "1bcc07be9185" }, { "url": "https://blockrun.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:33:12.706249242Z", "changedAt": "2026-10-09T18:33:12.706249242Z", "fingerprint": "39de12256659" }, { "url": "https://blockrun.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:33:14.51765012Z", "changedAt": "2026-10-09T18:33:14.51765012Z", "fingerprint": "51bc10d5065d" } ], "updatedAt": "2026-10-10T00:50:10.740211562Z" } }, "answer": "BlockRun.AI scores 72.4 (BB) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 3 of 7 scored categories. Cohere Chat API (Command models) leads on reliability, schema \u0026 documentation and transparency \u0026 trust.", "b": { "slug": "cohere-chat", "name": "Cohere Chat API (Command models)", "vendor": "Cohere", "vendorUrl": "https://cohere.com", "kind": "model", "category": "inference", "summary": "Cohere's Chat API generates text with the Command family of models over REST (v2 chat), with tool use, structured outputs, citations and streaming. SDKs cover Python, TypeScript, Java and Go.", "url": "https://www.anchorterminal.com/tools/cohere-chat", "markdownUrl": "https://www.anchorterminal.com/tools/cohere-chat.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cohere-chat.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cohere-chat.json", "repo": "https://github.com/cohere-ai/cohere-python", "license": "Proprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MIT", "transports": [ "http" ], "remoteUrl": "https://api.cohere.com/v2/chat", "packages": [ { "registry": "pypi", "name": "cohere" }, { "registry": "npm", "name": "cohere-ai" }, { "registry": "go", "name": "github.com/cohere-ai/cohere-go/v2" } ], "auth": "api-key", "authNotes": "Bearer API key from the dashboard, self-serve. A trial key is created at sign-up. A production key needs a team Owner to complete the Go to Production form and accept the SaaS agreement. Team roles are Owner and User. No key scopes or expiry were found in the docs.", "pricing": "freemium", "pricingNotes": "Trial keys are free with no card, limited to 20 chat requests a minute and 1,000 calls a month, and not for commercial use. Production keys bill per input and output token, monthly or at $250 outstanding. Current Command prices are in a script-drawn tab of cohere.com/pricing that we could not read. Production keys stay at trial limits on Command A+, Reasoning, Translate and Vision (checked 2026-10-09).", "priceSummary": "from $2.50 / 1M in", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI file or the pricing page (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.cohere.com/docs/chat-api", "rateLimitsUrl": "https://docs.cohere.com/docs/rate-limits", "llmsTxt": "https://docs.cohere.com/llms.txt", "openapi": "https://raw.githubusercontent.com/cohere-ai/cohere-developer-experience/main/cohere-openapi.yaml", "capabilities": [ "inference.llm", "inference.open-weights" ], "tags": [ "official", "hosted", "model", "free-tier", "no-card", "openapi", "llms-txt", "openai-compatible", "python", "typescript", "java", "go", "status-page", "soc2", "bug-bounty" ], "lastRelease": "2026-09-09", "graded": true, "anchor": { "graded": true, "score": 64.7, "grade": "B", "agentReady": false, "rank": 342, "ranked": true, "rankOf": 950, "categoryRank": 11, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 72, "maintenance": 72, "payments": 30, "reliability": 64, "schema": 84, "security": 57, "transparency": 74 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "A public OpenAPI file, Markdown twins of every docs page and SDKs in four languages make the Chat API easy for an agent to read. Production keys do not cover the four newest Command models, whose limits are set by sales, and the SaaS agreement lets Cohere share API data with third parties.", "bestFor": "Teams that want Command models for RAG with citations, tool use and multilingual work, and that may later move to a private deployment or Model Vault.", "strengths": [ "Public OpenAPI 3.1 file in the docs repository, last changed 29 September 2026, and a Markdown twin of every docs page", "A trial key is created at sign-up with no card, limited to 20 chat requests a minute and 1,000 calls a month", "Official SDKs for Python, TypeScript, Java and Go, each with a release on 26 August 2026", "JSON Schema structured outputs, `strict_tools` (beta), citations, reasoning budgets and safety modes on the v2 chat request", "The trust centre lists SOC 2 Type II, ISO 27001, ISO 42001 and a bug bounty, with nine sub-processors, all in the US" ], "weaknesses": [ "Production keys work like trial keys on Command A+, Reasoning, Translate and Vision. The docs send production use of those models to sales or to Model Vault", "Prices for current Command models sit in a script-drawn tab of the pricing page that we could not read. Only legacy prices appear in the page text", "The SaaS agreement of 8 April 2025 grants Cohere an irrevocable right to use API data to improve its services and to share it with third parties", "No Retry-After header, backoff guidance or idempotency key was found in the reviewed documentation", "The SaaS agreement forbids use of the services for benchmarking or competitive analysis. Recorded as a fact, and it matters before any probe is run" ], "agentNotes": [ "Call `POST https://api.cohere.com/v2/chat` with `Authorization: bearer \u003ckey\u003e`. `model` and `messages` are the only required fields", "Use `command-a-03-2025`, `command-r-08-2024`, `command-r-plus-08-2024` or `command-r7b-12-2024` for production traffic. Newer variants stay at trial limits on a production key", "Keep a trial key under 20 chat requests a minute and 1,000 calls a month, and do not use it for commercial work", "Set `response_format` with a `json_schema` for structured output, and tell the model to produce JSON when using `json_object` without a schema", "Ask the account Owner to turn off training under Data Controls in the dashboard before sending confidential prompts" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.7 } ], "editorialScores": { "ergonomics": 72, "maintenance": 72, "payments": 30, "reliability": 64, "schema": 84, "security": 57, "transparency": 65 }, "provenanceScore": 83 }, "connect": { "install": "pip install cohere # or: npm i cohere-ai", "http": "curl --request POST \\\n --url https://api.cohere.ai/v2/chat \\\n --header 'accept: application/json' \\\n --header 'content-type: application/json' \\\n --header \"Authorization: bearer $CO_API_KEY\" \\\n --data '{\"model\":\"command-a-plus-05-2026\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/cohere-chat" }, "sameCompany": [ "cohere-embed", "cohere-north" ], "area": "models", "provenance": { "legalEntity": "Cohere Inc.", "domain": "cohere.com", "domainRegistered": "2000-03-07", "endpointOnVendorDomain": true, "terms": "https://cohere.com/saas-agreement", "privacy": "https://cohere.com/privacy", "statusPage": "https://status.cohere.com", "changelog": "https://docs.cohere.com/v2/changelog", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "The Commercial SaaS Agreement (last updated 8 April 2025) names Cohere Inc., 171 John Street, Suite 200, Toronto, Ontario, and is governed by Ontario law.", "The privacy policy (last updated 1 May 2026) says it does not apply to customer inputs and outputs under an enterprise agreement, which the agreement and a DPA govern. The DPA is sent on request.", "The OpenAPI file names https://api.cohere.com as the server and the chat guide's examples call https://api.cohere.ai. Both are Cohere's.", "cohere.com/.well-known/security.txt answers 404. The trust centre holds a responsible disclosure policy for the bug bounty.", "status.cohere.ai redirects to status.cohere.com, whose robots.txt answers 404, so the host publishes no rules.", "RDAP for cohere.com gives a registration date of 2000-03-07." ], "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cohere-chat.json", "live": { "slug": "cohere-chat", "probe": { "target": "https://api.cohere.com/v2/chat", "method": "get", "lastAt": "2026-10-10T02:54:51.393337293Z", "lastOk": true, "lastStatus": 401, "lastMs": 139, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 144, "p95ms24h": 241, "samples24h": 115, "samples30d": 115, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 30, "ok": 30 } ] }, "vendorStatus": { "page": "https://status.cohere.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T02:50:05.337176394Z" }, "versions": [ { "registry": "github", "name": "cohere-ai/cohere-python", "version": "7.1.0", "released": "2026-08-26", "seenAt": "2026-10-09T16:46:32.363318225Z" }, { "registry": "npm", "name": "cohere-ai", "version": "8.1.0", "seenAt": "2026-10-09T16:46:31.955149363Z" }, { "registry": "pypi", "name": "cohere", "version": "7.2.0", "released": "2026-09-28", "seenAt": "2026-10-09T16:46:31.750729672Z" } ], "githubStars": 404, "npmWeekly": 446483, "pypiWeekly": 2506118, "pages": [ { "url": "https://docs.cohere.com/v2/changelog", "kind": "changelog", "status": 304, "checkedAt": "2026-10-09T18:36:57.799784835Z", "changedAt": "2026-10-07T18:04:51.510283642Z", "fingerprint": "f82c6d389ba7" }, { "url": "https://docs.cohere.com/docs/deprecations", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-09T18:36:55.160420163Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9848f1f6c54c" }, { "url": "https://cohere.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:34:08.463769439Z", "changedAt": "2026-10-08T18:16:32.121838469Z", "fingerprint": "5ed49b0909fd" }, { "url": "https://cohere.com/saas-agreement", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:34:10.296826504Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "09fbf37bff61" } ], "models": { "command-r-plus-08-2024": { "openrouterId": "cohere/command-r-plus-08-2024", "tools": true, "structuredOutputs": true, "jsonMode": true, "reasoning": false, "input": [ "text" ], "promptCaching": false, "contextTokens": 128000, "maxOutput": 4000, "checkedAt": "2026-10-09T22:59:28.49657734Z" } }, "updatedAt": "2026-10-10T02:54:51.393337293Z" } }, "facts": [ { "a": "MCP server", "b": "Model API", "name": "Kind" }, { "a": "BlockRun, Inc.", "b": "Cohere", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.cohere.com/v2/chat", "name": "Hosted endpoint" }, { "a": "stdio", "b": "HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "yes", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Proprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MIT", "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": "2026-09-09", "name": "Last release" }, { "a": "2026-09-02", "b": "2025-04-08", "name": "Terms last updated" }, { "a": "2026-09-02", "b": "2026-05-01", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "yes", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "5 stars, 679 PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "BlockRun.AI scores 72.4 (BB) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 3 of 7 scored categories. Cohere Chat API (Command models) leads on reliability, schema \u0026 documentation and transparency \u0026 trust.", "question": "Which is better for AI agents, BlockRun.AI or Cohere Chat API (Command models)?" }, { "answer": "BlockRun.AI takes an API key or an OAuth sign-in. Cohere Chat API (Command models) needs an API key. An agent can also pay BlockRun.AI per call over x402, with no account.", "question": "Do BlockRun.AI and Cohere Chat API (Command models) need an API key?" }, { "answer": "BlockRun.AI runs on your own machine, with no hosted endpoint listed. Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat.", "question": "Can an agent call BlockRun.AI and Cohere Chat API (Command models) without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 70 against 57", "Payments \u0026 pricing, 100 against 30", "Maintenance \u0026 community, 85 against 72" ], "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, 64 against 55", "Schema \u0026 documentation, 84 against 75", "Transparency \u0026 trust, 74 against 65" ], "also": [ "A hosted endpoint, with nothing to install", "Free to start without a card" ], "goodFor": "Teams that want Command models for RAG with citations, tool use and multilingual work, and that may later move to a private deployment or Model Vault.", "slug": "cohere-chat", "watchFor": "Production keys work like trial keys on Command A+, Reasoning, Translate and Vision. The docs send production use of those models to sales or to Model Vault" } ], "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "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-cohere-chat.json", "title": "Claude API vs Cohere Chat API (Command models)", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cohere-chat" }, { "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-cohere-chat.json", "title": "Antseed vs Cohere Chat API (Command models)", "url": "https://www.anchorterminal.com/compare/antseed-vs-cohere-chat" }, { "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-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-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-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-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-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/cloudflare-ai-gateway-vs-cohere-chat.json", "title": "Cloudflare AI Gateway vs Cohere Chat API (Command models)", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cohere-chat" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat.json", "title": "Cloudflare Workers AI vs Cohere Chat API (Command models)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra.json", "title": "Cohere Chat API (Command models) vs DeepInfra", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-deepseek-api.json", "title": "Cohere Chat API (Command models) vs DeepSeek API", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-deepseek-api" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-api.json", "title": "Cohere Chat API (Command models) vs Gemini Developer API", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-api" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-groq.json", "title": "Cohere Chat API (Command models) vs GroqCloud", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-groq" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-mistral-api.json", "title": "Cohere Chat API (Command models) vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai.json", "title": "Cohere Chat API (Command models) vs Novita AI", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-openai-api.json", "title": "Cohere Chat API (Command models) vs OpenAI API", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter.json", "title": "Cohere Chat API (Command models) vs OpenRouter", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.json", "title": "Cohere Chat API (Command models) vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-sambanova.json", "title": "Cohere Chat API (Command models) vs SambaCloud", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow.json", "title": "Cohere Chat API (Command models) vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow" } ], "scores": [ { "blockrun-ai": 55, "by": 9, "cohere-chat": 64, "edge": "cohere-chat", "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "blockrun-ai": 75, "by": 9, "cohere-chat": 84, "edge": "cohere-chat", "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "blockrun-ai": 70, "by": 2, "cohere-chat": 72, "edge": "cohere-chat", "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "blockrun-ai": 70, "by": 13, "cohere-chat": 57, "edge": "blockrun-ai", "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "blockrun-ai": 100, "by": 70, "cohere-chat": 30, "edge": "blockrun-ai", "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "blockrun-ai": 85, "by": 13, "cohere-chat": 72, "edge": "blockrun-ai", "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "blockrun-ai": 65, "by": 9, "cohere-chat": 74, "edge": "cohere-chat", "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "BlockRun.AI scores 72.4 (BB) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 3 of 7 scored categories. Cohere Chat API (Command models) leads on reliability, schema \u0026 documentation and transparency \u0026 trust. Both do llm inference. BlockRun.AI accepts x402. Cohere Chat API (Command models) doesn't.", "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.", "cohere-chat": "A public OpenAPI file, Markdown twins of every docs page and SDKs in four languages make the Chat API easy for an agent to read. Production keys do not cover the four newest Command models, whose limits are set by sales, and the SaaS agreement lets Cohere share API data with third parties." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat", "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.md", "slim": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.min.md" }, "markdown": "BlockRun.AI scores 72.4 (BB) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 3 of 7 scored categories. Cohere Chat API (Command models) leads on reliability, schema \u0026 documentation and transparency \u0026 trust. Both do llm inference. BlockRun.AI accepts x402. Cohere Chat API (Command models) doesn't.\n\n- BlockRun.AI: grade BB, 72.4/100, rank #104 of 950. Markdown https://www.anchorterminal.com/tools/blockrun-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json\n- Cohere Chat API (Command models): grade B, 64.7/100, rank #342 of 950. Markdown https://www.anchorterminal.com/tools/cohere-chat.md · JSON https://www.anchorterminal.com/api/v1/tools/cohere-chat.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 136 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- Security \u0026 auth, 70 against 57\n- Payments \u0026 pricing, 100 against 30\n- Maintenance \u0026 community, 85 against 72\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### Cohere Chat API (Command models) (B)\n\nGood for: Teams that want Command models for RAG with citations, tool use and multilingual work, and that may later move to a private deployment or Model Vault.\n\nAhead on:\n- Reliability, 64 against 55\n- Schema \u0026 documentation, 84 against 75\n- Transparency \u0026 trust, 74 against 65\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n\nWatch for: Production keys work like trial keys on Command A+, Reasoning, Translate and Vision. The docs send production use of those models to sales or to Model Vault\n\n\n## Score by category\n\n| Category | Weight | BlockRun.AI | Cohere Chat API (Command models) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 64 | Cohere Chat API (Command models) +9 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 75 | 84 | Cohere Chat API (Command models) +9 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 72 | Cohere Chat API (Command models) +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 57 | BlockRun.AI +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 100 | 30 | BlockRun.AI +70 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 72 | BlockRun.AI +13 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 74 | Cohere Chat API (Command models) +9 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **72.4 · BB** | **64.7 · B** | |\n\n## Facts side by side\n\n| Fact | BlockRun.AI | Cohere Chat API (Command models) |\n| --- | --- | --- |\n| Kind | MCP server | Model API |\n| Vendor | BlockRun, Inc. | Cohere |\n| Hosted endpoint | no (local only) | `https://api.cohere.com/v2/chat` |\n| Transports | stdio | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | yes | no |\n| Licence | MIT | Proprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MIT |\n| Tools exposed | 19 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-29 | 2026-09-09 |\n| Terms last updated | 2026-09-02 | 2025-04-08 |\n| Privacy policy last updated | 2026-09-02 | 2026-05-01 |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 5 stars, 679 PyPI/wk | none |\n| Agent reviews | 3.5/5 (2) | none |\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**Cohere Chat API (Command models).** A public OpenAPI file, Markdown twins of every docs page and SDKs in four languages make the Chat API easy for an agent to read. Production keys do not cover the four newest Command models, whose limits are set by sales, and the SaaS agreement lets Cohere share API data with third parties.\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### Cohere Chat API (Command models)\n\n1. Call `POST https://api.cohere.com/v2/chat` with `Authorization: bearer \u003ckey\u003e`. `model` and `messages` are the only required fields\n2. Use `command-a-03-2025`, `command-r-08-2024`, `command-r-plus-08-2024` or `command-r7b-12-2024` for production traffic. Newer variants stay at trial limits on a production key\n3. Keep a trial key under 20 chat requests a minute and 1,000 calls a month, and do not use it for commercial work\n4. Set `response_format` with a `json_schema` for structured output, and tell the model to produce JSON when using `json_object` without a schema\n5. Ask the account Owner to turn off training under Data Controls in the dashboard before sending confidential prompts\n\n## Questions\n\n### Which is better for AI agents, BlockRun.AI or Cohere Chat API (Command models)?\n\nBlockRun.AI scores 72.4 (BB) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 3 of 7 scored categories. Cohere Chat API (Command models) leads on reliability, schema \u0026 documentation and transparency \u0026 trust.\n\n### Do BlockRun.AI and Cohere Chat API (Command models) need an API key?\n\nBlockRun.AI takes an API key or an OAuth sign-in. Cohere Chat API (Command models) 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 Cohere Chat API (Command models) without installing anything?\n\nBlockRun.AI runs on your own machine, with no hosted endpoint listed. Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.json, and with the fewest tokens: https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"blockrun-ai\", \"b\": \"cohere-chat\"}`. From a terminal: `anchor compare blockrun-ai cohere-chat`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json and https://www.anchorterminal.com/api/v1/tools/cohere-chat.json\n\n## Other comparisons with BlockRun.AI or Cohere Chat API (Command models)\n\n- [Claude API vs BlockRun.AI](https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.md)\n- [Claude API vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/anthropic-api-vs-cohere-chat.md)\n- [Antseed vs BlockRun.AI](https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai.md)\n- [Antseed vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/antseed-vs-cohere-chat.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 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 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 Mistral AI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.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 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- [Cloudflare AI Gateway vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cohere-chat.md)\n- [Cloudflare Workers AI vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat.md)\n- [Cohere Chat API (Command models) vs DeepInfra](https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra.md)\n- [Cohere Chat API (Command models) vs DeepSeek API](https://www.anchorterminal.com/compare/cohere-chat-vs-deepseek-api.md)\n- [Cohere Chat API (Command models) vs Gemini Developer API](https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-api.md)\n- [Cohere Chat API (Command models) vs GroqCloud](https://www.anchorterminal.com/compare/cohere-chat-vs-groq.md)\n- [Cohere Chat API (Command models) vs Mistral AI API](https://www.anchorterminal.com/compare/cohere-chat-vs-mistral-api.md)\n- [Cohere Chat API (Command models) vs Novita AI](https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai.md)\n- [Cohere Chat API (Command models) vs OpenAI API](https://www.anchorterminal.com/compare/cohere-chat-vs-openai-api.md)\n- [Cohere Chat API (Command models) vs OpenRouter](https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter.md)\n- [Cohere Chat API (Command models) vs Prism Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.md)\n- [Cohere Chat API (Command models) vs SambaCloud](https://www.anchorterminal.com/compare/cohere-chat-vs-sambanova.md)\n- [Cohere Chat API (Command models) vs SiliconFlow](https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "BlockRun.AI vs Cohere Chat API (Command models)", "url": "" } ], "description": "BlockRun.AI scores 72.4 (BB) to Cohere Chat's 64.7 (B) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "BlockRun.AI BB 72.4", "Cohere Chat API (Command models) B 64.7", "scores" ], "h1": "BlockRun.AI vs Cohere Chat API (Command models)", "image": "https://www.anchorterminal.com/assets/og/compare-blockrun-ai-vs-cohere-chat.png", "path": "/compare/blockrun-ai-vs-cohere-chat", "published": "2026-10-01", "section": "tools", "title": "BlockRun.AI vs Cohere Chat for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat" }, "tokens": { "markdown": 2850, "slim": 780 }, "version": 1 }