120Fresh SitesScanned in this index
Agent Readiness Index · 2026
How ready is the web for AI agents?
Arachne scans and ranks how well websites expose the signals, interfaces, and infrastructure AI agents need.
Public, read-only evidence · No authentication · No workflow execution
12IndustriesRepresented
100Highest ScoreFresh benchmark leader
READYBenchmark QualityQuality gates passed
20 Median readiness4 Verified MCP
Benchmark insight
Ticket Fairy leads the ticketing industry.
Ticket Fairy scores 97 / 100 (A), far above the ticketing industry average in this fresh public benchmark.
Ticket Fairy97/100A
vsTicketing Average21.2/100
Leaderboard
Agent Readiness Leaderboard
Only complete scans are ranked. Incomplete or blocked evidence is shown transparently.
| # | Company | Industry | Readiness | Agent Interfaces |
|---|---|---|---|---|
| 1 | B2B SaaS | 100/100A |
MCPCLIOpenAPIStructured |
|
| 2 | Ticketing | 97/100A |
ARDMCPCLIStructured |
|
| 3 | B2B SaaS | 95/100A |
MCPA2AOpenAPIStructured |
|
| 4 | Developer & Data | 81/100B |
ARDMCPCLIOpenAPIStructured |
|
| 5 | Developer & Data | 65/100C |
CLIOpenAPIStructured |
|
| 6 | Developer & Data | 55/100D |
MCPWebMCPOpenAPIStructured |
|
| 7 | Healthcare | 40/100D |
Structured |
|
| 8 | Travel | 40/100D |
Structured |
|
| 9 | Real Estate | 40/100D |
Structured |
|
| 10 | Ecommerce | 40/100D |
CLIStructured |
|
| 11 | Ecommerce | 40/100D |
Structured |
|
| 12 | Jobs | 40/100D |
MCPStructured |
|
| 13 | B2B SaaS | 35/100F |
MCPCLIStructured |
|
| 14 | Restaurants | 35/100F |
Structured |
|
| 15 | Developer & Data | 35/100F |
CLIStructured |
|
| 16 | Developer & Data | 35/100F |
Structured |
|
| 17 | Travel | 35/100F |
Structured |
|
| 18 | B2B SaaS | 35/100F |
Structured |
|
| 19 | B2B SaaS | 35/100F |
MCPCLIStructured |
|
| 20 | Developer & Data | 35/100F |
MCPCLIStructured |
|
| 21 | Developer & Data | 35/100F |
Structured |
|
| 22 | Logistics | 35/100F |
MCPCLIStructured |
|
| 23 | Developer & Data | 31/100F |
MCPCLIStructured |
|
| 24 | B2B SaaS | 30/100F |
MCPStructured |
|
| 25 | Ecommerce | 30/100F |
Structured |
|
| 26 | Healthcare | 30/100F |
Structured |
|
| 27 | Jobs | 30/100F |
Structured |
|
| 28 | Hotels | 30/100F |
Structured |
|
| 29 | B2B SaaS | 30/100F |
MCPCLIStructured |
|
| 30 | Logistics | 30/100F |
Structured |
|
| 31 | Ecommerce | 30/100F |
Structured |
|
| 32 | Healthcare | 30/100F |
Structured |
|
| 33 | Hotels | 30/100F |
Structured |
|
| 34 | Travel | 25/100F |
Structured |
|
| 35 | Real Estate | 25/100F |
Structured |
|
| 36 | Marketplaces | 25/100F |
Structured |
|
| 37 | B2B SaaS | 25/100F |
Structured |
|
| 38 | Marketplaces | 25/100F |
Structured |
|
| 39 | B2B SaaS | 25/100F |
MCPStructured |
|
| 40 | Restaurants | 25/100F |
Structured |
|
| 41 | Restaurants | 25/100F |
Structured |
|
| 42 | Restaurants | 25/100F |
MCPStructured |
|
| 43 | Marketplaces | 25/100F |
Structured |
|
| 44 | Healthcare | 25/100F |
Structured |
|
| 45 | Ecommerce | 25/100F |
Structured |
|
| 46 | Jobs | 20/100F |
Structured |
|
| 47 | Travel | 20/100F |
MCPStructured |
|
| 48 | Logistics | 15/100F |
MCPCLIStructured |
|
| 49 | Hotels | 10/100F |
No public surface observed |
|
| NR | B2B SaaS | 70/100C |
MCPStructured |
|
| NR | Logistics | 40/100D |
Structured |
|
| NR | Real Estate | 35/100F |
Structured |
|
| NR | Jobs | 30/100F |
Structured |
|
| NR | Travel | 25/100F |
Structured |
|
| NR | Marketplaces | 25/100F |
Structured |
|
| NR | Travel | 25/100F |
Structured |
|
| NR | Ticketing | 25/100F |
Structured |
|
| NR | Ticketing | 25/100F |
Structured |
|
| NR | Ticketing | 20/100F |
No public surface observed |
|
| NR | Healthcare | 20/100F |
No public surface observed |
|
| NR | Developer & Data | 20/100F |
CLI |
|
| NR | Real Estate | 20/100F |
No public surface observed |
|
| NR | Developer & Data | 20/100F |
CLI |
|
| NR | Jobs | 20/100F |
Structured |
|
| NR | Jobs | 20/100F |
Structured |
|
| NR | Travel | 20/100F |
No public surface observed |
|
| NR | Restaurants | 20/100F |
No public surface observed |
|
| NR | Travel | 15/100F |
Structured |
|
| NR | Logistics | 15/100F |
Structured |
|
| NR | Marketplaces | 15/100F |
Structured |
|
| NR | Ticketing | 10/100F |
No public surface observed |
|
| NR | Real Estate | 10/100F |
No public surface observed |
|
| NR | Ticketing | 10/100F |
No public surface observed |
|
| NR | Jobs | 10/100F |
No public surface observed |
|
| NR | Healthcare | 10/100F |
No public surface observed |
|
| NR | Hotels | 10/100F |
No public surface observed |
|
| NR | Jobs | 10/100F |
No public surface observed |
|
| NR | Hotels | 10/100F |
No public surface observed |
|
| NR | Logistics | 10/100F |
No public surface observed |
|
| NR | Travel | 10/100F |
No public surface observed |
|
| NR | Ecommerce | 10/100F |
No public surface observed |
|
| NR | Real Estate | 10/100F |
No public surface observed |
|
| NR | Travel | 10/100F |
No public surface observed |
|
| NR | Marketplaces | 10/100F |
No public surface observed |
|
| NR | Ticketing | 10/100F |
No public surface observed |
|
| NR | Ecommerce | 10/100F |
No public surface observed |
|
| NR | Restaurants | 10/100F |
Structured |
|
| NR | Logistics | 10/100F |
No public surface observed |
|
| NR | Ecommerce | 10/100F |
No public surface observed |
|
| NR | Healthcare | 10/100F |
No public surface observed |
|
| NR | Restaurants | 10/100F |
No public surface observed |
|
| NR | Real Estate | 5/100F |
No public surface observed |
|
| NR | Real Estate | 5/100F |
No public surface observed |
|
| NR | Hotels | 5/100F |
No public surface observed |
|
| NR | Real Estate | 5/100F |
No public surface observed |
|
| NR | Hotels | 5/100F |
No public surface observed |
|
| NR | Healthcare | 5/100F |
No public surface observed |
|
| NR | Marketplaces | 5/100F |
No public surface observed |
|
| NR | Marketplaces | 5/100F |
No public surface observed |
|
| NR | Healthcare | 5/100F |
No public surface observed |
|
| NR | Real Estate | 5/100F |
No public surface observed |
|
| NR | Ticketing | 5/100F |
No public surface observed |
|
| NR | Ecommerce | 5/100F |
No public surface observed |
|
| NR | Ticketing | 5/100F |
No public surface observed |
|
| NR | Ticketing | 5/100F |
No public surface observed |
|
| NR | Restaurants | 5/100F |
No public surface observed |
|
| NR | Restaurants | 5/100F |
No public surface observed |
|
| NR | Marketplaces | 5/100F |
No public surface observed |
|
| NR | Jobs | 5/100F |
No public surface observed |
|
| NR | Healthcare | 5/100F |
No public surface observed |
|
| NR | Restaurants | 5/100F |
No public surface observed |
|
| NR | Marketplaces | 5/100F |
No public surface observed |
|
| NR | Logistics | 5/100F |
No public surface observed |
|
| NR | Hotels | 5/100F |
No public surface observed |
|
| NR | Hotels | 5/100F |
No public surface observed |
|
| NR | Jobs | 5/100F |
No public surface observed |
|
| NR | Ecommerce | 0/100F |
No public surface observed |
|
| NR | Hotels | 0/100F |
No public surface observed |
|
| NR | Logistics | 0/100F |
No public surface observed |
|
| NR | Logistics | 0/100F |
No public surface observed |
No sites match these filters. Try another industry or reset the view.
NR means not ranked. A blocked or incomplete public measurement is not a definitive low-readiness result.
Methodology
How Arachne measures readiness.
Arachne scores public technical readiness, not company quality, security posture, product quality, or business performance.
The canonical model evaluates public surfaces and evidence used by AI agents to discover a business, understand its capabilities, locate machine-readable interfaces, determine whether structured interaction is possible, and assess visible governance evidence.
FOUNDUNDERSTOODSELECTEDCONNECTEDINVOKEDCOMPLETEDGOVERNED
The benchmark did not run authenticated agent journeys. Journey execution stages are therefore reported as Not measured in this benchmark.
- Public, read-only GET probes only
- No authentication or login bypass
- No write actions, purchases, or bookings
- No third-party deployment or interface changes
- Provider-backed AI Search visibility was not measured when credentials were unavailable
Trust in the measure
Benchmark quality checks.
The index is released only after its corpus, evidence, and ranking checks pass.
✓Fresh Vertical QuotaPassed
✓Positive ControlsPassed
✓Negative ControlsPassed
✓False Positive RegressionPassed
✓False Negative RegressionPassed
✓Commercial Evidence GatePassed
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