Odel
Taplid

Taplid

Local
@taplidUpdated 2mo ago

Audit AI responses and artifacts with ALLOW, REVIEW, or BLOCK decisions and trust scores.

Taplid

Audit AI outputs and validate structured artifacts before you trust them.

Taplid checks LLM responses, AI code reviews, SQL, Docker, Kubernetes YAML, JSON Schema, API contracts, configs, security rules, and technical review claims against supplied context, schema, code, config, or policy.

Start here

What Taplid does

Taplid has three core operations:

  1. Run an audit
    Run a Standard or Artifact audit against supplied context, schema, code, config, or policy.

  2. Retrieve an audit
    Retrieve a persisted public audit result by auditId.

  3. Verify an audit
    Verify the signed attestation, issuer, signed fields, and result hash for a saved audit.

Artifact and schema validation

Artifact mode works as a schema checker, config validator, SQL schema checker, Docker/Kubernetes checker, API contract validator, and AI code-review verifier.

Use it for:

  • JSON Schema and structured output checks
  • SQL schema and DDL validation
  • Docker, Kubernetes YAML, and Terraform/IaC checks
  • API, HTTP, CORS, and policy contract checks
  • Security, secrets, credentials, and auth-header checks
  • AI code reviews, implementation plans, and agent workflows

Packages

PackagePurpose
@taplid/clientServer-side SDK
@taplid/cliLocal and CI audit checks
@taplid/mcpMCP server for Claude, Cursor, OpenAI-compatible agents, and other MCP clients

Documentation

The full integration guide, code examples, response format, CLI commands, MCP setup, OpenAI-compatible usage, retrieval, and verification examples are maintained here:

https://taplid.com/docs

This README intentionally stays small so the official documentation remains the source of truth.