Blocks.ai vs Probe: Which is Better in 2026?
A comprehensive comparison of Blocks.ai and Probe covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Blocks.ai if:
- →You need a broader feature set (7 features vs 6)
- →You need cli scaffolding: `blocks init` then `blocks publish` to register a priced agent or agent-to-agent invocation as a first-class primitive
Choose Probe if:
- →You need 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge or x402 payment discovery and validation, plus erc-8004 onchain identity checks
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Blocks.ai vs Probe: At a Glance
Pricing Comparison: Blocks.ai vs Probe
Understanding the pricing differences between Blocks.ai and Probe is crucial for making the right choice. Here's how their plans compare side by side.
Blocks.ai Pricing
Probe Pricing
💡 Pricing takeaway: Both Blocks.ai and Probe offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Blocks.ai and Probe stacks up.
What Makes Each Tool Unique
🔵 Unique to Blocks.ai
Features available in Blocks.ai but not in Probe:
- ✓CLI scaffolding: `blocks init` then `blocks publish` to register a priced agent
- ✓Agent-to-agent invocation as a first-class primitive
- ✓Callable from apps directly or over MCP
- ✓Data streaming plane alongside the control plane
- ✓Framework integrations for CrewAI, LangChain and OpenClaw
- ✓Per-task or per-minute pricing set by the builder
- ✓Stripe-processed payouts at an 85% builder share
🟣 Unique to Probe
Features available in Probe but not in Blocks.ai:
- ✓44 checks in ~30 seconds with a 0-100 score, letter grade, and README badge
- ✓x402 payment discovery and validation, plus ERC-8004 onchain identity checks
- ✓MCP endpoint discovery, tool declarations, and transport security
- ✓A2A agent.json discovery and skill declaration validation
- ✓EU AI Act Article 14 human oversight, GDPR, and FATF Travel Rule checks
- ✓Up to 24x daily continuous monitoring with automatic email alerts
Use Case Recommendations
Best for: Blocks.ai
Blocks.ai is a marketplace and network layer for agents — infrastructure for the case where the agent you built is useful to somebody other than you. The workflow is deliberately short: wrap your agent with the Blocks CLI, which scaffolds a handler in Node or another supported language, then publish it with a listing visibility and a price, and it is registered on the Blocks Network and callable by anyone. On the consumption side, app builders and other agents can discover and invoke listed agents through the network or over MCP, so an agent becomes a billable capability rather than a private script. The platform documents a control plane, a data and streaming plane, and a developer interface, with agent-to-agent calls and data streaming as first-class primitives rather than afterthoughts, plus published whitepapers on the network design and its security model. Framework integrations cover CrewAI, LangChain and OpenClaw. What makes this catalogue-worthy beyond the technology is the commercial model, which inverts the usual SaaS shape: connecting an agent is free, listing it in the catalogue is free, and Blocks takes 15% only when a paid call actually earns, with Stripe processing payments and the builder keeping 85%. Per-task and per-minute pricing are both supported, so long-running agents are not forced into a request-count model.
Ideal use cases:
- •Teams or individuals who need cli scaffolding: `blocks init` then `blocks publish` to register a priced agent
- •Teams or individuals who need agent-to-agent invocation as a first-class primitive
- •Teams or individuals who need callable from apps directly or over mcp
- •Teams or individuals who need data streaming plane alongside the control plane
- •Anyone focused on agents workflows
- •Anyone focused on marketplace workflows
Best for: Probe
Probe is a compliance scanner for AI agent APIs and MCP servers. You paste a URL and it runs forty-four checks in about thirty seconds, returning a 0-100 score, a letter grade, and a README badge, with no account required. The check set is unusually specific to the agent ecosystem rather than being a generic web scanner with AI branding. It covers the x402 agent payment standard by auto-discovering /.well-known/x402.json and validating payment metadata; MCP endpoint discovery, tool declarations, and transport security; Google's A2A protocol via agent.json discovery and skill declarations; ERC-8004 onchain agent identity registration on Base and Ethereum; and llms.txt and AI plugin discovery. Alongside those it runs conventional infrastructure checks — HSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy, CORS, rate limiting, DNSSEC, CAA, DMARC and SPF, TLS, OpenAPI spec validation, API versioning, and Content-Type consistency — plus a regulatory cluster covering EU AI Act human oversight under Article 14, AI disclosure and risk classification, GDPR privacy and data-processing disclosure, FATF Travel Rule VASP disclosure, and ten voice-AI-specific checks for synthetic voice labeling, call recording consent, and operator identity. The grading is framed around listing readiness: A means listing-ready with minor fixes, C means the endpoint will fail x402 validation, D and F mean critical gaps. Subscribing adds up to 24 scans a day with email alerts. The vendor states the product is entirely free with no paid tier, funded by the compliance dataset it builds.
Ideal use cases:
- •Teams or individuals who need 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge
- •Teams or individuals who need x402 payment discovery and validation, plus erc-8004 onchain identity checks
- •Teams or individuals who need mcp endpoint discovery, tool declarations, and transport security
- •Teams or individuals who need a2a agent.json discovery and skill declaration validation
- •Anyone focused on mcp workflows
- •Anyone focused on x402 workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Blocks.ai and Probe aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is Blocks.ai better than Probe?
It depends on your needs. Blocks.ai offers 7 key features including CLI scaffolding: `blocks init` then `blocks publish` to register a priced agent and Agent-to-agent invocation as a first-class primitive, while Probe provides 6 features including 44 checks in ~30 seconds with a 0-100 score, letter grade, and README badge and x402 payment discovery and validation, plus ERC-8004 onchain identity checks. Blocks.ai uses a freemium model with a free tier, while Probe is free with free access available. Choose based on which features and pricing model align with your requirements.
Is Blocks.ai cheaper than Probe?
Both tools have similar pricing structures. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Blocks.ai and Probe together?
Yes, many users combine Blocks.ai and Probe in their workflow. Blocks.ai excels at cli scaffolding: `blocks init` then `blocks publish` to register a priced agent, while Probe shines with 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Blocks.ai and Probe?
While both are ai agent infrastructure tools, Blocks.ai emphasizes cli scaffolding: `blocks init` then `blocks publish` to register a priced agent, whereas Probe is known for 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge. The best choice depends on your specific workflow and feature priorities.
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