BlockRun.AI vs Hugging Face Inference Providers

BlockRun.AI 100

x402 v2 on its own gateway, USDC on Base and Solana, and since MCP 0.55.0 (28 October) on Circle's Arc through arc.blockrun.ai (40). Per-token prices per model published without a login, plus a flat $0.001 fee per wallet call on Base (20). Seven free models per the status page's menu, no card or sign-up, and a wallet costs nothing to create (20). An agent can create its own wallet and pay per request with no human sign-up (20). 40 + 20 + 20 + 20 = 100.

Hugging Face Inference Providers 20

No x402, MPP or L402 (0). Per-token prices for every model and provider published without a login in the router's /v1/models and on model pages (20). No free tier since 7 October 2026, when free users lost their included monthly credits; PRO's $2.00 of credits needs a subscription (0). Sign-up, token creation and credit purchase are browser steps (0).

BlockRun.AI 65

Read with the local-software lines, as the listing's kind is mcp and the owner runs the server over stdio, though every paid call lands on BlockRun's gateway (the reading assymetrix-mcp and copilot-studio-mcp get). The 1 October check read it as a router. Installs from the official npm package @blockrun/mcp with Node 20.19 or later stated in engines (20). The CI workflow runs typecheck, build and tests on Node 20.19 and 22 on every push and pull request, with a required gate job. Run results weren't readable, as GitHub's pages answered 403 (20 of 25). Open issues couldn't be read. The changelog names numbered reports fixed in releases, such as #176 and #177 in 0.54.3 and 0.54.4 (10 of 25). Semver numbering with breaking changes marked BREAKING in CHANGELOG.md and shipped as minor bumps, as its own entries say (15). Version 0.55.0, pre-1.0 (0). 20 + 20 + 10 + 15 + 0 = 65. For the gateway behind it, blockrun.ai/status still shows live checks of the Base and Solana gateways and says "None recorded on this page yet" under incident history, the terms still say "We do not commit to any particular uptime", and free models are limited to 30 requests a minute and 300 an hour per IP with 429s carrying Retry-After.

Hugging Face Inference Providers 25

Hosted lines. status.huggingface.co is a Better Stack page with 90-day component history for the Hub, Inference Endpoints, Spaces, the CDNs and Jobs, but no component for Inference Providers or the router (10 of 20). With no component, there is no readable incident history for the surface agents call, and the feed's 23 items from 10 June to 7 October 2026 don't name it (5). No rate limits for the router were found; the Hub rate-limits page gives numbers for Hub APIs, resolvers and pages only (0). No 429 or overload guidance for the router was found (0). No SLA found (0). Chat completions on the router is generally available; the Responses API is labelled beta (10). Routing between providers with :fastest or :cheapest softens a single provider's outage, which this checklist doesn't score.

BlockRun.AI 88

MCP reading. 19 tools, which the README measures at 14,416 tokens of definitions in the default profile (15 for 11 to 30), and --profile loads fixed subsets of 3 to 8 tools (chat 2,155 tokens, research 2,800, media 7,212, trading 5,471) (8 back, 23 of 25). Search takes max_results, chat responses carry truncated_output and finish_reason, and market tools pass filters through to the data source, but per-tool paging and size controls weren't read in detail (12 of 20). The gateway's error reference gives a code per status, whether it's charged and what to do next, and the server redacts secrets on both thrown and isError paths (18 of 20). Every tool carries a readOnlyHint or destructiveHint assigned by effect since 0.33.0, with a test that fails on an unannotated tool. Payment settles only after a successful upstream response, and since 0.54.2 a withdrawal that may have moved money is never signed twice (20). Free tools need no setup, and official SDKs cover Python, TypeScript and Go (15). 23 + 12 + 18 + 20 + 15 = 88.

Hugging Face Inference Providers 58

Router reading of the model checklist (tool use, structured output, caching, context, batch, SDKs, errors), as for openrouter. Tool calling through the OpenAI-compatible API with tool_choice, support flagged per provider in /v1/models (15 of 20). Structured output documented, support flagged per provider and false on some (10 of 15). No prompt caching guidance found, though the Enterprise usage API counts cached input tokens (3 of 15). Routes to models with up to 1,048,576 tokens of context per the model list, a judgement call since a router has no default model (15). No batch API (0 of 10). Official clients in Python and JavaScript, plus any OpenAI SDK (10). Errors not documented (5 of 15).

BlockRun.AI 90

MCP reading. All 19 tools take zod input schemas, which the MCP SDK turns into JSON Schema, per the 1 October read of the source (25, was 10 for the gateway's OpenAPI document, which robots.txt still keeps our reader out of under /api/). llms.txt served at blockrun.ai/llms.txt (10). The tool descriptions state purpose and order of use, such as 'discover markets ... with blockrun_markets first' and 'Run action:"setup" FIRST', per the 1 October check (15 of 20). Enums and numeric bounds, but seven fields across six tools take a free-form z.any() JSON body, per the 1 October check (10 of 15). The docs have an error reference with codes per status and recovery steps, and the README has examples for each client (15). A dated gateway changelog, last entry 25 October 2026, and a CHANGELOG.md in the MCP repository through 0.55.0 (15). 25 + 10 + 15 + 10 + 15 + 15 = 90.

Hugging Face Inference Providers 62

No OpenAPI document for the router (openapi.json paths answer 404). The task reference pages are generated from typed JSON Schema specs in huggingface.js, and the router's /v1/models gives a machine-readable catalogue, so 12 of 25. llms.txt for the Inference Providers docs and a Markdown twin of every page via .md (10). Guides say what each task and policy is for, with a quick setup page for coding agents (14 of 20). Parameter tables with types for chat completion, though response_format and tool_choice show as unknown types (9 of 15). Examples in Python, JavaScript and curl on every task page, but no documented error responses for the router (9 of 15). No changelog of its own; the Hub changelog doesn't cover it and dated changes are only in the hub-docs history (8 of 15).

BlockRun.AI 61

MCP and API reading. The credential is a wallet private key, auto-created at ~/.blockrun/.session or passed in an environment variable and optionally mirrored to the OS keychain, and it controls the whole balance. blockrun_wallet can delegate a capped budget to a child agent, and an API-key route backed by account credit exists (20 of 30, as on 1 October). blockrun_polymarket_read gives read-only positions and previews apart from the trading tool, trades need confirm:true with a $25 default order cap, --profile drops whole groups of tools, and BLOCKRUN_CONFIRM_SPEND=on pauses every paid call for approval, though it's off by default (16 of 20). Search, Exa, market and RPC tools return third-party content, and no prompt-injection guidance was found in the README or docs read (5, as knock and suprsend). Every payment settles on-chain and the wallet tool reports balances and spending (10 of 15). security.txt is valid on 1 November, with an email contact, a policy link and an Expires date of 1 November 2027, and SECURITY.md takes private GitHub reports with a 72-hour acknowledgement and a 7-day plan for fund-affecting issues. No bounty or certification found (10). 20 + 16 + 5 + 10 + 10 = 61.

Hugging Face Inference Providers 79

Model reading. Fine-grained user access tokens that can be limited to the Make calls to Inference Providers permission, rotated and revoked, plus a public revocation endpoint for leaked tokens, and organisation approval of fine-grained tokens on paid plans (30). Hugging Face says it doesn't store user data for training, but data handling past the router follows each provider's policy, with no per-request filter to exclude providers that train or retain (12 of 20). Request bodies and responses aren't stored when routed and debug logs are kept up to 30 days without user data or tokens, with provider retention outside that statement (10 of 15). Usage by model and provider in account settings, an Enterprise usage API, and Team and Enterprise admins can disable providers and set a spending limit (13 of 15). SOC 2 Type 2 for the Hub, of which the docs say Inference Providers is a feature, and security.txt valid to 2030 per the Inference Endpoints check; no bug bounty found (14 of 20).

BlockRun.AI 85

MCP reading. @blockrun/mcp 0.55.0 published to the official MCP registry on 28 October 2026, and a gateway changelog entry on 25 October (30). 40 registry versions from 0.35.0 on 3 August to 0.55.0 (20). Issue replies couldn't be read, as GitHub's issue pages answered 403; the changelog credits numbered reports fixed within releases (10 of 25). Listed in the official MCP registry as io.github.BlockRunAI/blockrun-mcp, a GitHub-verified namespace, active, with 0.55.0 marked latest (15). CI on Node 20.19 and 22 with typecheck and tests on every pull request, and a Renovate configuration in the repository (10). 30 + 20 + 10 + 15 + 10 = 85.

Hugging Face Inference Providers 80

Model reading. huggingface_hub 2.4.0 tagged on 29 October 2026 and the Inference Providers docs updated daily by an automated job, last on 6 November (30). huggingface_hub 2.2.0, 2.3.0 and 2.4.0 and @huggingface/inference 4.13.28 to 4.13.32 in the 90 days (20). No dedicated changelog; the Hub has a forum and Discord, and GitHub issue replies were not read (8 of 15). Current official SDKs in Python and JavaScript (15). The Python client supports Python 3.10 and later, per the Inference Endpoints check; CI not read (7 of 10).