日本語 | Support | GitHub GitHub stars
Free webinars ARI Award 2026 Summer briefing (in Japanese) — Jul 29 & 30 (40-min digest) / Aug 20 & 27 (60-min deep dive). Register → (JA)

The rating agency for the AI agent era

Agent Readiness — the competitive edge of being chosen by AI

We independently rate the Agent Readiness of companies and software, based on public facts and measured data.

View ARI Award 2026 Summer

The latest issue — ARI Award 2026 Summer

Are Japan's leading SaaS ready to be chosen by AI agents? We verified 200 SaaS services in the Japanese market against vendor primary sources and certified the 41 rated A or above. Methodology fully disclosed.

200

Verified

Every fact checked against vendor primary sources (2026-07-16).

41

Certified A or above

AAA: 11, AA: 21, A: 9. Rules-based scoring, no LLM judgment.

37

Official MCP servers

19% of rated services provide an official MCP endpoint for AI agents.

Read the full results

The framework — five domains of Agent Readiness

Agent Readiness is not a single metric. We define it as five domains, each hardened progressively: public facts → first-party probes → real usage data from multiple AI agents. Every score carries a data-source label (public signal / probe / usage telemetry) — estimates are never presented as measurements.

DomainWhat it measuresStatus
AI AccessCan AI connect? API, MCP, authentication✅ Published (2026 Summer)
AI DiscoverabilityCan AI find and understand product info and docs?Partially measured — next issue
AI ExecutionCan AI actually complete tasks?In development
AI TrustIs it safe to delegate? Permissions, audit, securityIn development
AI CompatibilityHow well does it work with ChatGPT, Claude, Gemini?In development
← Back to search

KanseiLink Service Rating
AAA
AA
A
BBB
BB
B
CCC
LEADERAVERAGELAGGARD
AAA
AA
A
BBB
BB
B
CCC
LEADERAVERAGELAGGARD

What do KanseiLink ratings measure?

Our service ratings assess how ready a SaaS service is for AI agents. Using a rules-based methodology — no LLM judgment — we assign a letter rating based on MCP availability, API openness, documentation, and authentication clarity, supplemented by first-party connectivity probes.

We evaluate 11,000+ SaaS/MCP services across 23 categories; 2,257 services have been probe-tested by our own scanner via real JSON-RPC handshakes (as of 2026-07). Per-service success-rate figures are not published until independent third-party agent telemetry reaches sufficient scale.

The AEO (Agent Engine Optimization) Score used in this database measures primarily the AI Access and AI Discoverability domains of the Agent Readiness framework.

How our ratings are used

Six ways AI agents, SaaS companies, and integrators leverage KanseiLink ratings

Discover services

Agents automatically discover the best SaaS for their purpose. Verified services are prioritized.

Assess risk

Pre-assess connection methods, verification status, and known pitfalls of target SaaS to minimize failure risk.

Build workflows

Get optimal integration patterns from 200 recipes (12 MCP-native with verified tool names). Build multi-service automation workflows.

Benchmark readiness

SaaS companies compare their agent-readiness against industry benchmarks. Identify improvement areas.

Drive improvement

Suggest specific actions to improve ratings: MCP adoption, API design, documentation.

Monitor changes

Real-time tracking of API changes, MCP updates, and incidents. Protect agent workflows.

See the data behind the ratings

The scale and depth behind KanseiLink ratings.

11,000+

Services Rated

Covering 11,000+ SaaS/MCP services across global and Japanese markets in 23 categories; 2,257 services probe-tested by our own scanner (as of 2026-07).

200

Integration Recipes

200 multi-service workflow patterns including 12 MCP-native recipes with verified tool names.

14

Analysis Tools

14 MCP tools including search, ratings, recipes, insights, and AEO reports.

Industry-specific

Detailed analysis by category: accounting, HR, CRM, communication, project management, and more.

First-party probes

Live JSON-RPC handshake probes against hosted MCP endpoints — 3,475 successful out of 4,367 attempts by our own scanner (as of 2026-07). Third-party agent reports are being integrated progressively.

Quarterly updates

Ratings updated quarterly. Reflects changes in MCP adoption and new service additions.

Service Database Ranking Q2 2026 — Top 30

Service-level ranking across 11,000+ global and Japan SaaS/MCP services (2,257 services probe-tested by our own scanner as of 2026-07). Click a service name to view its detailed profile. For company-level ratings of Japan's leading SaaS, see ARI Award 2026 Summer.

#GradeScoreServiceCategoryStatusMCPRecipesSuccess
1AAA1.00Notion MCPVerifiedOfficial8High
2AAA0.90Slack MCPVerifiedOfficial35High
3AAA0.90freee MCPVerifiedOfficial19High
4AAA0.90Shopify Japan MCPVerifiedOfficial6High
5AAA0.90Backlog MCPVerifiedOfficial5High
6AAA0.85Brave SearchVerifiedOfficial1N/A
7AAA0.85Playwright MCPVerifiedOfficial0N/A
8AAA0.85PostgreSQL MCPVerifiedOfficial0N/A
9AA0.80kintone MCPConnectableOfficial24Med
10AA0.80Chatwork MCPConnectableOfficial16Med
11AA0.80HubSpot Japan MCPConnectableOfficial5-
12AA0.80Money Forward Cloud MCPVerifiedOfficial4High
13AA0.80LINE Messaging MCPConnectableOfficial4-
14AA0.80freee HRConnectableOfficial4-
15AA0.80Sansan MCPConnectableOfficial2Med
16AA0.80Asana MCPConnectableOfficial1-
17AA0.80TavilyVerifiedOfficial0N/A
18AA0.80FirecrawlVerifiedOfficial0N/A
19AA0.75Google DriveConnectableThird-party3N/A
20AA0.75Google Analytics (GA4)ConnectableAPI Only1N/A
21AA0.75QdrantVerifiedOfficial0N/A
22A0.70SendGridVerifiedThird-party2High
23A0.70Garoon MCPConnectableOfficial1Med
24A0.70DocuSign JapanConnectableThird-party1High
25A0.70Treasure Data MCPConnectableOfficial1Med
26A0.701Password BusinessConnectableOfficial1High
27A0.70Microsoft Teams MCPConnectableOfficial0High
28A0.70TwilioConnectableThird-party2N/A
29A0.70Amazon SESConnectableAPI Only0N/A
30A0.70AWS (Lambda / DynamoDB / RDS)ConnectableThird-party0N/A

Interested in our ratings?

Detailed rating reports for SaaS vendors, custom assessments for investors and procurement, free data access for agent builders. Ratings themselves are never for sale.

View solutions

Research and resources

Methodology

How ratings are calculated: rating criteria, data sources, and the five domains of Agent Readiness.

Read more

Principles of Independence

Ratings are never for sale. Formula fully public. Conflicts disclosed.

Read more

Resources for SaaS providers

Guide for checking and improving your service's rating. MCP adoption roadmap.

Learn more

For AI Agents: Access this data programmatically via npx @kansei-link/mcp-server. Tools: search_services, generate_aeo_report, get_service_detail, find_combinations, get_recipe, submit_feedback. JSON endpoint: /aeo-data.json