~/CLIRank

Agent-Friendliness Report

Instagram API

Access Instagram business accounts, media, and insights.

38/100

Poor

CLI Readiness 5/10 · Quality 2/10

CLI Readiness

5/10
  • ✗Official SDK available+2
  • ✓Env var authentication+2
  • ✓Headless / CI compatible+2
  • ✗CLI tool available+1
  • ✓JSON responses+1
  • ✗curl / CLI doc examples+1
  • ✗Reasonable rate limits+1
  • ✗Machine-readable pricing+1

Quality Score

2/10
  • npm weekly downloads0
  • GitHub stars126
  • Days since last release73
  • Issue close ratio50%
  • TypeScript support✗
  • Docs qualityBasic
  • Breaking changesOccasional

Context7 Docs Benchmark

59.7

Trust Score

6.6/10

Snippets

1,316

Tokens

161K

Library ID

/tiagogrosso/instagram-graph-api-lib

Want to improve your score? Here's how

  • ->Publish an official SDK - npm/pip package with TypeScript types makes agent integration trivial
  • ->Add curl examples to docs - Agents parse curl better than UI screenshots
  • ->Make pricing machine-readable - Expose pricing as markdown, JSON, or a static table instead of JS widgets
View full API details →

How we calculate this score

The Agent-Friendliness Score measures how well an API works when used by AI coding agents (Claude Code, Cursor, Copilot) rather than humans in browsers.

CLI Readiness (60%) scores 8 signals that matter for headless, automated use: official SDK availability, env var auth (no browser OAuth), headless compatibility, CLI tooling, JSON responses, curl examples in docs, rate limits, and machine-readable pricing. Each signal is weighted by how much it blocks or enables agent workflows.

Quality (40%) covers SDK maturity and maintenance: npm download volume, GitHub stars, release freshness, issue close rate, TypeScript support, docs quality, and breaking change frequency.

Docs Benchmark (where available) is sourced from Context7, which tests how well an LLM can answer practical questions using the library's documentation.

Coming soon: live agent benchmarks that measure tokens burned, success rate, and time to first working API call using real integration tasks.

How agent-friendly is YOUR API?

Check your score at clirank.dev/score