kinetic8
AI-Built Adapters

Turn any API into an integration — in minutes

AI-built adapters from an OpenAPI spec

Point kinetic8 at any REST API's OpenAPI spec and it generates a working integration in minutes — AI maps the asset types, relationships, and risk rules, validates against the live API, and ships a declarative adapter. No more waiting for a vendor roadmap.

1 · ANALYZEOpenAPI spec → AIClaude maps asset types,relationships & risk rules2 · VALIDATETest the live APIAuto-fix data paths &pagination · sample assets3 · BLUEPRINTDeclarative configRuns in the sharedcustom_rest_api_sdk runtimeadapter blueprint · saved as config, not code{ "adapter_type": "custom_rest_api_sdk", "auth": { "method": "bearer_token" }, "endpoints": [{ "asset_type": "device", "path": "/devices" }], "relationships": [{ "type": "owned_by" }], "risk_rules": [{ "operator": "truthy", "score": 80 }] }
Minutes
from spec to integration
AI + live
analysis & validation
Cloud + on-prem
deployment

Why it matters

No code, no templates

Paste an OpenAPI spec URL or document and AI proposes a complete adapter blueprint — asset types, field mappings, relationships, and risk rules — without writing a single line of Python or YAML.

Validated before it goes live

Every blueprint is tested against the real API: credentials are checked, endpoints are called, and data paths and pagination are auto-corrected from live responses — with sample assets shown for your approval before anything is saved.

End the wait for vendor roadmaps

When a source isn't covered yet, you don't file a feature request — you build the adapter yourself in minutes and deploy it in the cloud or on-prem.

How it works

  1. 1Point the builder at a REST API's OpenAPI spec (URL or document).
  2. 2AI analyzes it and proposes a blueprint — asset types, relationships, and risk rules.
  3. 3kinetic8 validates the blueprint against the live API, auto-fixing data paths and pagination, and returns sample assets to review.
  4. 4Save it — the adapter runs in the cloud for public APIs, or on-prem via the connector for internal ones.

Capabilities

  • AI spec analysis (Claude) over deterministic OpenAPI parsing, with confidence scoring
  • Live blueprint validation that auto-corrects data paths and pagination from real responses
  • Four auth methods: none, API key, bearer token, and HTTP basic
  • Offset- and cursor-based pagination with per-endpoint page and item limits
  • Automatic relationship discovery (17 relationship types) and AI-suggested 0–100 risk rules
  • Declarative custom_rest_api_sdk runtime — config, not generated code
  • Cloud or on-prem deployment via the connector gateway, chosen per adapter
  • Built-in guardrails: network isolation, prompt-injection defenses, PII redaction, rate limits, and full audit trail

See AI-Built Adapters on your own estate

Request a live demo — we'll map your environment in the session.

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