{ "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": 86, "ranked": true, "rankOf": 629, "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": "2026-10-08T17:50:25.834755093Z" }, "versions": [ { "registry": "github", "name": "BlockRunAI/blockrun-llm", "version": "v1.17.1", "released": "2026-09-30", "seenAt": "2026-10-08T16:03:03.38534707Z" }, { "registry": "npm", "name": "@blockrun/llm", "version": "3.20.1", "seenAt": "2026-10-08T16:03:00.626430849Z" }, { "registry": "npm", "name": "@blockrun/mcp", "version": "0.54.2", "seenAt": "2026-10-08T16:03:03.163417147Z" }, { "registry": "pypi", "name": "blockrun-llm", "version": "1.18.1", "released": "2026-10-02", "seenAt": "2026-10-08T16:02:56.881672754Z" } ], "githubStars": 5, "npmWeekly": 3038, "pypiWeekly": 613, "securityTxt": { "url": "https://blockrun.ai/.well-known/security.txt", "state": "valid", "expires": "2027-10-08T15:38:59.798Z", "checkedAt": "2026-10-08T15:38:59.626671491Z" }, "llmsTxt": { "url": "https://blockrun.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:08.691101317Z" }, "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": "2026-10-08T18:15:47.647222361Z", "changedAt": "2026-10-07T18:02:55.765897221Z", "fingerprint": "c92dc1246502" }, { "url": "https://blockrun.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:15:50.108128149Z", "changedAt": "2026-10-07T18:02:58.171144984Z", "fingerprint": "33c04bb7a3a3" }, { "url": "https://blockrun.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:15:51.932790554Z", "changedAt": "2026-10-07T18:03:00.098653926Z", "fingerprint": "34f88d6eaf60" } ], "updatedAt": "2026-10-08T18:15:51.932790554Z" } }, "answer": "BlockRun.AI scores 72.4 (BB) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and schema \u0026 documentation.", "b": { "slug": "prism-inference", "name": "Prism Inference", "vendor": "Prism Technologies Inc", "vendorUrl": "https://prisminference.com", "kind": "model", "category": "inference", "summary": "Prism is a hosted inference API from Prism Technologies Inc for open-weight models, aimed at coding agents. It accepts OpenAI Chat Completions, OpenAI Responses and Anthropic Messages requests at api.prisminference.com. It launched on 24 September 2026.", "url": "https://www.anchorterminal.com/tools/prism-inference", "markdownUrl": "https://www.anchorterminal.com/tools/prism-inference.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prism-inference.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prism-inference.json", "repo": "https://github.com/prismhq/hermes-prism-provider", "license": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file", "transports": [ "http" ], "remoteUrl": "https://api.prisminference.com/v1", "packages": [], "auth": "api-key", "authNotes": "`Authorization: Bearer` with a key issued from account settings after sign-up at prisminference.com/signup. The inference endpoints also accept the key in `x-api-key`. A missing, invalid, expired or revoked key returns 401. No key scopes were found in the reviewed documentation. An agent can call `POST https://prisminference.com/api/agent-signups` with the owner's email and a username and receive a key once, but that key can't run inference until the owner supplies a six-digit emailed code, and it expires after 30 days. `GET /v1/models` needs no key.", "pricing": "usage", "pricingNotes": "Prepaid per-token pricing with no minimum. DeepSeek-V4.1-Flash is $0.09 in, $1.20 out and $0.06 cache read per million tokens, and Gemma 4 31B is $0.30, $0.40 and $0.15 (https://prisminference.com/pricing, matched by https://api.prisminference.com/v1/models). No free tier or trial credit was found, and a workspace without credit gets 402. A person funds the workspace in a browser. Elastic endpoints, dedicated deployments and batch are sold through sales with no published price.", "priceSummary": "from $0.09 / 1M in", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in llms.txt, the docs index, the OpenAPI file or the pricing page, read 2026-10-08. The docs describe prepaid credit funded by a person in the browser.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.prisminference.com", "rateLimitsUrl": "https://docs.prisminference.com/rate-limits", "llmsTxt": "https://prisminference.com/llms.txt", "openapi": "https://docs.prisminference.com/openapi.yaml", "capabilities": [ "inference.fast", "inference.open-weights", "inference.llm" ], "tags": [ "hosted", "model", "open-weights", "fast", "usage-priced", "prepaid", "openapi", "llms-txt", "openai-compatible", "anthropic-compatible", "zero-retention", "status-page", "new" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 60.1, "grade": "C", "agentReady": false, "rank": 363, "ranked": true, "rankOf": 629, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 49, "payments": 30, "reliability": 65, "schema": 82, "security": 65, "transparency": 61 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -2, "negativeNotes": [ "2026-10-08. The home page shows a '99.99% Uptime SLA' tile, and the pricing page says 'No minimums, no rate limits' above the per-token table. The terms of 9 September 2026 say the services have no guaranteed uptime or service credit unless a separate written agreement says otherwise, and the docs describe per-key rate limits that return 429. No SLA document was found. A misleading claim, with the smallest deduction because the terms and docs state the real position (https://prisminference.com/, https://prisminference.com/pricing, https://prisminference.com/terms, https://docs.prisminference.com/rate-limits)." ], "verdict": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.", "bestFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.", "strengths": [ "One key works across OpenAI Chat Completions, OpenAI Responses and Anthropic Messages, with a public OpenAPI 3.1 file, llms.txt and Markdown docs", "Zero data retention is the default on every tier, and the privacy policy, terms and docs all say inputs and outputs are never used for training", "Every error carries a stable `code`, a `retryable` flag, a `fix` hint and a `docs_url`, and 429 carries `Retry-After` in seconds", "`GET /v1/models` answers without a key and returns context length, maximum output and per-token prices for each model", "DeepSeek-V4.1-Flash is listed with a 1M-token context and 384,000 output tokens at $0.09 in and $1.20 out per million" ], "weaknesses": [ "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available", "No rate-limit numbers are published. The docs say per-key limits exist, and the pricing page says 'no rate limits'", "The home page shows a '99.99% Uptime SLA' tile, while the terms say there is no guaranteed uptime without a separate written agreement", "No free tier found. Billing is prepaid, a person funds the workspace in a browser, and the agent sign-up key needs an emailed code", "The service launched on 24 September 2026. The changelog has one entry, and no deprecation policy, sub-processor list or certification was found" ], "agentNotes": [ "Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access", "Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients", "Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity", "Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output", "Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 60.1 } ], "editorialScores": { "ergonomics": 68, "maintenance": 49, "payments": 30, "reliability": 65, "schema": 82, "security": 65, "transparency": 43 }, "provenanceScore": 79 }, "connect": { "install": "pip install openai # or: npm install openai, base URL https://api.prisminference.com/v1. Anthropic SDKs use https://api.prisminference.com with no /v1", "http": "curl \"https://api.prisminference.com/v1/chat/completions\" \\\n -H \"Authorization: Bearer $PRISM_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"deepseek-v4.1-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Return pong.\"}]}'", "claudeCode": "export ANTHROPIC_BASE_URL=https://api.prisminference.com\nexport ANTHROPIC_AUTH_TOKEN=$PRISM_API_KEY\nexport ANTHROPIC_MODEL=deepseek-v4.1-flash\nexport ANTHROPIC_SMALL_FAST_MODEL=gemma-4-31b" }, "letme": { "capability": "https://letme.dev/inference.fast", "tool": "https://letme.dev/prism-inference" }, "area": "models", "provenance": { "legalEntity": "Prism Technologies Inc", "domain": "prisminference.com", "domainRegistered": "2026-09-09", "endpointOnVendorDomain": true, "terms": "https://prisminference.com/terms", "privacy": "https://prisminference.com/privacy", "statusPage": "https://status.prisminference.com", "changelog": "https://docs.prisminference.com/changelog", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The terms and the privacy policy, both last updated 9 September 2026, name Prism Technologies Inc. The terms are governed by California law with arbitration in San Francisco.", "RDAP gives a registration date of 2026-09-09 for prisminference.com, with Name.com as registrar.", "security.txt has a Contact line (founders@prisminference.com), an Expires date of 2027-10-06 and a Canonical line. No disclosure policy or bug bounty is named.", "The status page runs on incident.io with one component for each model and no component for the API or the website. Its incidents feed was empty on 8 October 2026.", "The YC directory lists Prism in the Spring 2025 batch, in San Francisco, with a team of 2. The home page links an X account named prism_videos, from the company's earlier video product." ], "score": 79 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/prism-inference.json", "live": { "slug": "prism-inference", "probe": { "target": "https://api.prisminference.com/v1", "method": "get", "lastAt": "2026-10-08T18:20:37.992247616Z", "lastOk": true, "lastStatus": 200, "lastMs": 129, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 147, "p95ms24h": 447, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-08", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.prisminference.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-08T18:22:16.573936097Z" }, "versions": [ { "registry": "github", "name": "prismhq/hermes-prism-provider", "version": "v1.0.2", "released": "2026-09-16", "seenAt": "2026-10-08T16:26:20.638377705Z" } ], "githubStars": 0, "securityTxt": { "url": "https://prisminference.com/.well-known/security.txt", "state": "valid", "expires": "2027-10-06T00:00:00.000Z", "checkedAt": "2026-10-08T15:38:58.310470594Z" }, "pages": [ { "url": "https://docs.prisminference.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:19:15.357311357Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "184a0fafdb8c" }, { "url": "https://prisminference.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:23:20.103073255Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "dffb5d16a3c8" }, { "url": "https://prisminference.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:23:22.266572016Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "64ea7b8f1b7b" }, { "url": "https://prisminference.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:23:24.296415884Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "27dd15c69f49" } ], "updatedAt": "2026-10-08T18:23:24.296415884Z" } }, "facts": [ { "a": "MCP server", "b": "Model API", "name": "Kind" }, { "a": "BlockRun, Inc.", "b": "Prism Technologies Inc", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.prisminference.com/v1", "name": "Hosted endpoint" }, { "a": "stdio", "b": "HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "yes", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file", "name": "Licence" }, { "a": "19", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-29", "b": "2026-10-06", "name": "Last release" }, { "a": "2026-09-02", "b": "2026-09-09", "name": "Terms last updated" }, { "a": "2026-09-02", "b": "2026-09-09", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "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 Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and schema \u0026 documentation.", "question": "Which is better for AI agents, BlockRun.AI or Prism Inference?" }, { "answer": "BlockRun.AI takes an API key or an OAuth sign-in. Prism Inference needs an API key. An agent can also pay BlockRun.AI per call over x402, with no account.", "question": "Do BlockRun.AI and Prism Inference need an API key?" }, { "answer": "BlockRun.AI runs on your own machine, with no hosted endpoint listed. Prism Inference has a hosted endpoint at https://api.prisminference.com/v1.", "question": "Can an agent call BlockRun.AI and Prism Inference without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 70 against 65", "Payments \u0026 pricing, 100 against 30", "Maintenance \u0026 community, 85 against 49" ], "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, 65 against 55", "Schema \u0026 documentation, 82 against 75" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.", "slug": "prism-inference", "watchFor": "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available" } ], "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-prism-inference.json", "title": "Claude API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai.json", "title": "Antseed vs BlockRun.AI", "url": "https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference.json", "title": "Antseed vs Prism Inference", "url": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference" }, { "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-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/deepseek-api-vs-prism-inference.json", "title": "DeepSeek API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.json", "title": "Gemini Developer API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/groq-vs-prism-inference.json", "title": "GroqCloud vs Prism Inference", "url": "https://www.anchorterminal.com/compare/groq-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.json", "title": "Mistral AI API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.json", "title": "OpenAI API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.json", "title": "OpenRouter vs Prism Inference", "url": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference" } ], "scores": [ { "blockrun-ai": 55, "by": 10, "edge": "prism-inference", "key": "reliability", "name": "Reliability", "prism-inference": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "blockrun-ai": 75, "by": 7, "edge": "prism-inference", "key": "schema", "name": "Schema \u0026 documentation", "prism-inference": 82, "weight": 13 }, { "blockrun-ai": 70, "by": 2, "edge": "blockrun-ai", "key": "ergonomics", "name": "Agent ergonomics", "prism-inference": 68, "weight": 13 }, { "blockrun-ai": 70, "by": 5, "edge": "blockrun-ai", "key": "security", "name": "Security \u0026 auth", "prism-inference": 65, "weight": 14 }, { "blockrun-ai": 100, "by": 70, "edge": "blockrun-ai", "key": "payments", "name": "Payments \u0026 pricing", "prism-inference": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "blockrun-ai": 85, "by": 36, "edge": "blockrun-ai", "key": "maintenance", "name": "Maintenance \u0026 community", "prism-inference": 49, "weight": 7 }, { "blockrun-ai": 65, "by": 4, "edge": "blockrun-ai", "key": "transparency", "name": "Transparency \u0026 trust", "prism-inference": 61, "weight": 7 } ], "summary": "BlockRun.AI scores 72.4 (BB) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and schema \u0026 documentation. Both do llm inference. BlockRun.AI accepts x402. Prism Inference 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.", "prism-inference": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference", "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.md", "slim": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.min.md" }, "markdown": "BlockRun.AI scores 72.4 (BB) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and schema \u0026 documentation. Both do llm inference. BlockRun.AI accepts x402. Prism Inference doesn't.\n\n- BlockRun.AI: grade BB, 72.4/100, rank #86 of 629. Markdown https://www.anchorterminal.com/tools/blockrun-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json\n- Prism Inference: grade C, 60.1/100, rank #363 of 629. Markdown https://www.anchorterminal.com/tools/prism-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/prism-inference.json\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 65\n- Payments \u0026 pricing, 100 against 30\n- Maintenance \u0026 community, 85 against 49\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### Prism Inference (C)\n\nGood for: Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.\n\nAhead on:\n- Reliability, 65 against 55\n- Schema \u0026 documentation, 82 against 75\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available\n\n\n## Score by category\n\n| Category | Weight | BlockRun.AI | Prism Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 65 | Prism Inference +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 75 | 82 | Prism Inference +7 |\n| Agent ergonomics | 13% (16.2 this run) | 70 | 68 | BlockRun.AI +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 65 | BlockRun.AI +5 |\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 | 49 | BlockRun.AI +36 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 61 | BlockRun.AI +4 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **72.4 · BB** | **60.1 · C** | |\n\n## Facts side by side\n\n| Fact | BlockRun.AI | Prism Inference |\n| --- | --- | --- |\n| Kind | MCP server | Model API |\n| Vendor | BlockRun, Inc. | Prism Technologies Inc |\n| Hosted endpoint | no (local only) | `https://api.prisminference.com/v1` |\n| Transports | stdio | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | yes | no |\n| Licence | MIT | Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file |\n| Tools exposed | 19 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-29 | 2026-10-06 |\n| Terms last updated | 2026-09-02 | 2026-09-09 |\n| Privacy policy last updated | 2026-09-02 | 2026-09-09 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\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**Prism Inference.** Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.\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### Prism Inference\n\n1. Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access\n2. Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients\n3. Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity\n4. Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output\n5. Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported\n\n## Questions\n\n### Which is better for AI agents, BlockRun.AI or Prism Inference?\n\nBlockRun.AI scores 72.4 (BB) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and schema \u0026 documentation.\n\n### Do BlockRun.AI and Prism Inference need an API key?\n\nBlockRun.AI takes an API key or an OAuth sign-in. Prism Inference needs an API key. An agent can also pay BlockRun.AI per call over x402, with no account.\n\n### Can an agent call BlockRun.AI and Prism Inference without installing anything?\n\nBlockRun.AI runs on your own machine, with no hosted endpoint listed. Prism Inference has a hosted endpoint at https://api.prisminference.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"blockrun-ai\", \"b\": \"prism-inference\"}`. From a terminal: `anchor compare blockrun-ai prism-inference`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json and https://www.anchorterminal.com/api/v1/tools/prism-inference.json\n\n## Other comparisons with BlockRun.AI or Prism Inference\n\n- [Claude API vs BlockRun.AI](https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.md)\n- [Claude API vs Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)\n- [Antseed vs BlockRun.AI](https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai.md)\n- [Antseed vs Prism Inference](https://www.anchorterminal.com/compare/antseed-vs-prism-inference.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 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 Prism Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.md)\n- [Gemini Developer API vs Prism Inference](https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.md)\n- [GroqCloud vs Prism Inference](https://www.anchorterminal.com/compare/groq-vs-prism-inference.md)\n- [Mistral AI API vs Prism Inference](https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.md)\n- [OpenAI API vs Prism Inference](https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.md)\n- [OpenRouter vs Prism Inference](https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "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 Prism Inference", "url": "" } ], "description": "BlockRun.AI scores 72.4 (BB) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and schema \u0026 documentation. Both do llm inference. BlockRun.AI accepts x402. Prism Inference doesn't. Category scores…", "facts": [ "BlockRun.AI BB 72.4", "Prism Inference C 60.1", "scores" ], "h1": "BlockRun.AI vs Prism Inference", "image": "https://www.anchorterminal.com/assets/og/compare-blockrun-ai-vs-prism-inference.png", "path": "/compare/blockrun-ai-vs-prism-inference", "published": "2026-10-01", "section": "tools", "title": "BlockRun.AI vs Prism Inference for AI agents, BB 72.4 vs C 60.1", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference" }, "tokens": { "markdown": 2300, "slim": 730 }, "version": 1 }