Scan Results: https://river.ai/
Vanity URL: scan.glintbase.dev/scan/river
Leaderboard Standing
Openrouter scored 83 — you scored 61
22 points behind Openrouter.
#30 of 81 ecosystemsEcosystem Discovery Analysis / river.ai
Agent-Readiness Index Report
score_version: ars-1.0.0 · ARS methodology
61
/ 100
AI-CAPABLE ECOSYSTEM
Agent Ecosystem Discovery
river.ai
Partial exploration capabilities. Lacks critical schemas or machine-indexing entrypoints.
FrameworkCustom Docs
Surfaces
4/13
Large Pages
2pgs
Nav Gap
0pts
Surface Inventory4 of 13 active
✓
sitemap.xml Index
ACTIVE
–
llms.txt Index
MISSING
–
llms-full.txt Spec
MISSING
–
OpenAPI Schema
MISSING
–
MCP Configuration
MISSING
–
GitHub Repository
MISSING
✓
Documentation Root
ACTIVE
–
API Reference
MISSING
✓
Company Blog
ACTIVE
–
Developer Auth
MISSING
–
App Dashboard
MISSING
✓
Developer Changelog
ACTIVE
–
Status Page
MISSING
Agent Journey Pathfinder (Deterministic)9/10 passed
●
Find Docs Overview
1 hops
○
Find llms.txt Entrypoint
1 hops
●
Authenticate
1 hops
●
Install SDK
1 hops
●
Create API Key
1 hops
●
Send First Request
1 hops
●
Resolve OpenAPI Operation
1 hops
●
Configure Webhook
1 hops
●
Locate Error Handling
1 hops
●
Recover from Setup Issue
1 hops
Ecosystem Diagnostic Dimensions
Discoverability
100/100
Machine Entrypoints
0/100
Canonical Sources
50/100
Content Quality
100/100
Graph Connectivity
69/100
Journey Success
80/100
Freshness / Drift
70/100
Runtime Validity
38/100
Problems
Solutions
Audit Items
Problem Summary Prompt
Copy a compressed diagnostic summary of missing entrypoints to share with your team or feeding to LLM pipelines.
Fixes / Solutions Prompt
Copy complete implementations and config files to copy-paste directly into Cursor, Claude Code, or Copilot.
Extracted Knowledge Base
Graph Map Overview
Knowledge Graph
Initializing graph engine...
Ecosystem Connection Logs
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