Statsig
Powered by JAIRF v1.0.0 by Jentic · open methodology at /the-headless-index/methodology
Statsig earns Band C in the Feature Flags & Config category of The Headless Index, with a thesis-fit score of 43/100 and a JAIRF rating of 70.8/100 (AI-Aware). Its strongest dimension is API-first design intent (15/20); its weakest scored dimension is MCP and agent posture (4/20). Statsig publishes a machine-readable OpenAPI specification, which is what lets an agent discover and operate it without human glue code.
Scorecard detail
Statsig is feature flags plus experimentation plus product analytics with strong statistical rigour. REST API plus SDKs in JavaScript, iOS, Android, Node, Python, Java, Go, Ruby, PHP, .NET, Rust, and others. The product is AI-aware and has invested in experiment-driven AI features.
signals (5)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- +OpenAPI specPublished, 241 operations
- −GraphQL endpointNot discovered (5 probes; project-scoped endpoints require a real project ID)
- +SDKs maintained27 (dotnet, go, java, javascript, kotlin, php, python, ruby, rust, swift, typescript); top by stars: statsig-io/statsig-kit (35 stars)
- +npm weekly downloads9.6M across published packages; top: react-native @ 7.0M/week
cite (5)
- openapi.url@2026-05-19
- graphql.probes_tried@2026-05-19
- github.sdks@2026-05-19
- freshness.most_recent_sdk_commit@2026-05-19
- github.sdks@2026-05-19
Gates, experiments, dynamic configs, autotunes, segments, and metrics are all programmable. The statsig CLI plus a Terraform provider give shell and IaC paths.
signals (9)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- +API operations exposed241 operations in OpenAPI spec
- ·Docs pages crawled0 pages (crawler: none)
- ·Auth schemes documentedAuth documentation page not reached by crawler
- ·Setup / quickstart docsNot reached by crawler
- ·Billing docsNot reached by crawler
- ·Teams / org docsNot reached by crawler
- ·CLI docsNot reached by crawler
- ·Schema / data model docsNot reached by crawler
cite (1)
- ai_review_browser.topics_found@2026-05-20
Statsig has been publicly active on AI integration through Statsig Heatwave. A first-party MCP server is in development based on public discussions.
signals (4)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- −Official MCP serverNone found in vendor's GitHub org or the official MCP registry
- −Community MCP serversNone found
- +Agent-friendly SDKs16 TS/JS SDKs available; top: statsig-node (465.7k/week downloads)
cite (1)
- ai_review_browser.pages_fetched@2026-05-20
REST documented at docs.statsig.com. SDKs are well-maintained. Schema discoverability is solid.
signals (3)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- +OpenAPIPublished at https://docs.statsig.com/openapi.json (OpenAPI 3.0.0, 241 operations)
- −GraphQL introspectionNo GraphQL endpoint discovered (5 probes; some vendors use project-scoped endpoints that require a real project handle)
cite (1)
- ai_review_browser.schema@2026-05-20
Statsig webhooks deliver feature-gate and experiment-decision events with signing. Catalog is comprehensive.
signals (2)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- ·Webhook docs pageNot reached by crawler within budget (0 pages crawled). Cannot confirm whether vendor offers webhooks.
cite (1)
- ai_review_browser.pages_fetched@2026-05-20
FCFoundational Compliance100/100
Structural validity, standards conformance, and parsability of the OpenAPI specification.
DXJDeveloper Experience & Tooling Compatibility66.6/100
Documentation clarity, example coverage, response completeness, and ingestion health.
ARAXAI-Readiness & Agent Experience61.8/100
Semantic clarity, intent expression, datatype specificity, and error standardization.
AUAgent Usability50/100
Operational composability, complexity comfort, navigation affordances, and safety patterns.
SECSecurity80/100
Authentication strength, transport security, secret hygiene, and OWASP risk posture.
AIDAI Discoverability65/100
Descriptive richness, intent phrasing, workflow context, and registry signals.
Band rationale:C band: scores 40-75 range
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How THI compares to external scorers
| Source | Score | Measures | Last checked |
|---|---|---|---|
| Fern Agent Score | not found | Documentation completeness and SDK shape (~22 checks) | — |
| CLIRank Agent Friendliness | not found | CLI readiness, docs quality, and overall agent affordances | — |
| Cloudflare Is It Agent Ready? | blocked | Cloudflare's manual agent-readiness heuristic per vendor URL | — |
| Jentic Scorecard | — | JAIRF-based scorecard requiring a public OpenAPI specification | — |
No external scores available to calibrate against.
Statsig and agent readiness
- Is Statsig agent-ready?
- Statsig scores Band C on The Headless Index and rates AI-Aware on JAIRF (70.8/100). Its strongest area for agent use is API-first design intent; its weakest is MCP and agent posture.
- Does Statsig publish an OpenAPI spec?
- Yes. Statsig publishes an OpenAPI specification, scored under JAIRF v1.0.0. A published spec is what makes an API discoverable and callable by agents rather than only by developers reading docs.
- What is Statsig's Headless Index score?
- Statsig scores 43/100 on the Headless Index thesis-fit rubric and sits in Band C in the Feature Flags & Config category. The score weighs API-first design, headless operation, MCP and agent posture, schema observability, and webhooks.