Agent
Discoverability

Xzar

Crash-test AI agents on real professional decisions, graded exactly against what was actually decided.

View in the Claude registry
Brand
Xzar
Category
AI
Integration details

Description

Xzar is the crash-test lab for AI. Connect it and Claude (or the agent you're building) works real professional cases, cut at the moment of decision, and is graded exactly against what the professional actually decided. No AI judges: the same answer always gets the same score, with a receipt. Today's live tests cover patent examination: the first decision on each claim, the decision after the applicant responds, and appeals. Each task gives the agent the case, a library of prior publications and the examination rulebook. The agent searches, reads, decides, and submits one answer. Your scorecard then compares results with simple rules of thumb, so you can see whether the AI beats a one-liner and where it fails. Cases are decided after current models were trained, so they can't have been memorized. Answer keys never leave Xzar's servers. Use it to evaluate an AI agent before deployment, compare models on real work, or find the failure patterns that decide where a person must stay in the loop. Patents are the first field; Xzar builds tests for other fields (claims, compliance, trade, contracts) on request. You need a free Xzar account (sign up at xzar.si, $5 of free credit). Each started task uses $2.00 of credit; searching, reading and checking your scorecard are free.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
AI

The broad Category that contains the Primary Subcategory.

Primary Subcategory
AI Output Verification & Grounding

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Xzar
Access
Account required
First tracked
2026-10-16
Tool count
8
Geography
US
Agent DiscoverabilityClaude Discoverability Score

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Primary Subcategory
0 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
—Black IcePending VerificationGet notified
—CiteproofPending VerificationGet notified
—Council of AIPending VerificationGet notified
—CovalPending VerificationGet notified
—Data ButlerPending VerificationGet notified
—Data PitfallsPending VerificationGet notified
—elluminatePending VerificationGet notified
—FALCON VerifyPending VerificationGet notified
—Formal LogicPending VerificationGet notified
—GroundedReplyPending VerificationGet notified
—Imashime (わだち) – Notes on mistakes AI assistants makePending VerificationGet notified
—KastraPending VerificationGet notified
—LenzPending VerificationGet notified
—Norma by Quality CloudsPending VerificationGet notified
—OSuitePending VerificationGet notified
—PortMemPending VerificationGet notified
—QuiltyPending VerificationGet notified
—RapidataPending VerificationGet notified
—swatchdogPending VerificationGet notified
—TalarionPending VerificationGet notified
—TrustAIPending VerificationGet notified
—XzarPending VerificationGet notified
Tools

8 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

Xzar Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve Xzar's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Xzar alternatives on Claude?

As of 2026-10-16, Xzar competes with Black Ice, Citeproof, Council of AI, Coval, Data Butler, Data Pitfalls, elluminate, FALCON Verify and 15 more in Claude AI Output Verification & Grounding, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.