◎ Discry Score
instagram.com
communication · API
D
0 / 100
DISCOVERY0
COMPREHENSION0
Category leader: 98 (A)
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COMMUNICATION · RANK #22 OF 24

Instagram is Poor to agents.

Discry independently scored how well an AI agent can discover and understand the Instagram API from what’s public — not whether it’s usable. Below: every signal we checked, what’s costing the score, and what to change.

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SCORED UNDER RUBRIC 1.2 · A full re-launch under Discry Score 2.5 — a new behavioral instrument, not comparable to these scores — is in progress.

Discovery

45% of score · 48/100
OpenAPI specA machine-readable OpenAPI/Swagger spec agents can parse.Partial
llms.txtAn llms.txt index that points agents to the docs that matter.Partial
llms.txt qualityThe llms.txt is focused, current, and well under the size budget.Partial
llms-full.txtA full-text bundle agents can load in one request.Fail
AGENTS.mdAn AGENTS.md that tells coding agents how to build on the API.Fail
.well-known/mcp.jsonA discoverable MCP manifest at a well-known path.Fail
MCP registryThe API is listed in a public MCP registry.Pass
robots.txt AI directivesrobots.txt allows (or explicitly guides) AI crawlers.Pass
SitemapA sitemap so agents can enumerate the docs surface.Partial

Comprehension

55% of score · 53/100
Task-oriented descriptionsEndpoints described by what they accomplish, not just their shape.Partial
Realistic examplesRunnable, real-world request/response examples.Partial
Multi-step workflowsDocs that chain calls into complete jobs an agent can follow.Partial
Error-recovery guidanceDocumented failure modes and how to recover from them.Partial
Answer-first formatThe answer leads; preamble does not bury it.Partial
Capability boundariesClear limits — what the API can and cannot do.Partial
Naming consistencyConsistent, predictable naming across endpoints.Pass
Heading hierarchyClean heading structure agents can navigate.Pass
Markdown docsDocs available as clean markdown, not JS-rendered HTML only.Partial
Token efficiencyDocs are concise enough to fit an agent context window.Fail

What we found

  • Instagram API documentation lives within the broader Meta developer portal — an agent searching for 'Instagram API' must navigate through Meta's multi-platform documentation sprawl to find Instagram-specific endpoints
  • Meta provides llms.txt at developers.facebook.com but it covers all Meta platforms (WhatsApp, Marketing API) with minimal Instagram-specific content, reducing its value for agents targeting the Instagram API specifically
  • No official OpenAPI spec is published by Meta — third-party generated specs exist on Versori but are not maintained by the platform team, creating reliability concerns for agent tooling
  • Community MCP servers exist across Smithery, PulseMCP, and Glama but none are official Meta-maintained servers, meaning agents depend on community maintenance for tool integration
  • The robots.txt explicitly allows all crawlers with a broad 'User-agent: * Allow: /' directive, which is permissive for AI access

What to change

Prioritized by impact on discoverability. You (or your docs platform) deploy these — Discry never touches your API.

  1. 01Publish an official Instagram Graph API OpenAPI spec maintained alongside the quarterly API version releases
  2. 02Create an Instagram-specific llms.txt that covers the Instagram Platform APIs, scopes, and common workflows separate from the Meta-wide llms.txt
  3. 03Add llms-full.txt with comprehensive Instagram API documentation in markdown for LLM consumption
  4. 04Build or endorse an official Instagram MCP server to replace the fragmented community server ecosystem
  5. 05Add multi-step workflow guides showing common agent patterns: authenticate -> get media -> analyze insights -> moderate comments

Execution coverage · INFORMATIONAL, UNSCORED

Whether an agent can actually complete a call and recover from errors is the deeper Audit layer — documented here, but not part of the Discry Score.

oauth2 Error format documented Rate limits documented Pagination documented Idempotency documented

OAuth2 with multiple scope types for different access levels. Graph API versioning (currently v21.0) with quarterly releases. Rate limits documented per-app and per-user. Cursor-based pagination. JSON error responses with error code, subcode, and message. No idempotency support documented.

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