Probe vs Sentra: Which is Better in 2026?
A comprehensive comparison of Probe and Sentra covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Probe if:
- →You need a broader feature set (6 features vs 5)
- →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
Choose Sentra if:
- →You want more affordable paid plans (from $16/mo)
- →You need one queryable memory graph shared by humans and agents or rest and mcp access from claude, chatgpt, cursor and windsurf
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Probe vs Sentra: At a Glance
Pricing Comparison: Probe vs Sentra
Understanding the pricing differences between Probe and Sentra is crucial for making the right choice. Here's how their plans compare side by side.
Probe Pricing
💡 Pricing takeaway: Both Probe and Sentra 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 Probe and Sentra stacks up.
What Makes Each Tool Unique
🔵 Unique to Probe
Features available in Probe but not in Sentra:
- ✓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
🟣 Unique to Sentra
Features available in Sentra but not in Probe:
- ✓One queryable memory graph shared by humans and agents
- ✓REST and MCP access from Claude, ChatGPT, Cursor and Windsurf
- ✓Semantics resolved at ingestion against a per-org ontology
- ✓Captures interactions and decisions, not just finished artefacts
- ✓Meeting recording, pre-meeting briefs, risk radar and commitment tracking
Use Case Recommendations
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
Best for: Sentra
Sentra is a unified memory layer — a company brain shared by a team and its AI agents. It captures interactions, decisions and drift and writes them into one queryable graph exposed over REST or MCP, so what you teach one agent every agent remembers. The technical argument is specific: vector search returns what is close, not what is correct, because embeddings are stored at write time and structure is guessed at query time, which means every request re-crawls Slack, email and docs to rediscover what a term means inside your organisation. Sentra instead resolves semantics at ingestion and builds the graph on demand at query time against an ontology unique to your company, treating meaning as a primitive rather than a side effect. It also argues that most tools capture artefacts — the CRM record, the Jira ticket, the Confluence page — and therefore capture only the output of a decision, not the interaction that produced it. In practice the product covers meeting recording and notes, pre-meeting briefs, deep research across all connected data, a commitment tracker, a risk radar and connection intelligence, plugging into Slack, Gmail, Calendar, Outlook, GitHub and Linear, and into Claude, ChatGPT, Cursor, Perplexity, Codex and Windsurf.
Ideal use cases:
- •Teams or individuals who need one queryable memory graph shared by humans and agents
- •Teams or individuals who need rest and mcp access from claude, chatgpt, cursor and windsurf
- •Teams or individuals who need semantics resolved at ingestion against a per-org ontology
- •Teams or individuals who need captures interactions and decisions, not just finished artefacts
- •Anyone focused on memory workflows
- •Anyone focused on mcp workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Probe and Sentra 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?
This page ranks for "Probe vs Sentra" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing for $19 one-time — no subscription, nothing to cancel — and get a Featured badge, top placement in your category, and a permanent dofollow backlink. Prefer it ongoing? Monthly is one click away on the next page.
Frequently Asked Questions
Is Probe better than Sentra?
It depends on your needs. Probe offers 6 key 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, while Sentra provides 5 features including One queryable memory graph shared by humans and agents and REST and MCP access from Claude, ChatGPT, Cursor and Windsurf. Probe uses a free model with a free tier, while Sentra is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Probe cheaper than Sentra?
Probe doesn't have standard paid plans, while Sentra starts at $16/month. 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 Probe and Sentra together?
Yes, many users combine Probe and Sentra in their workflow. Probe excels at 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge, while Sentra shines with one queryable memory graph shared by humans and agents. 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 Probe and Sentra?
While both are ai agent infrastructure tools, Probe emphasizes 44 checks in ~30 seconds with a 0-100 score, letter grade, and readme badge, whereas Sentra is known for one queryable memory graph shared by humans and agents. The best choice depends on your specific workflow and feature priorities.
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