LAP

Purpose: Helping AI agents integrate APIs accurately without guessing from incomplete or human-oriented specifications.

Inferred · not functionally tested

Audience: AI developers and teams building agent-powered applications

Inferred · not functionally tested

Functions: code_generation, data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: unknown · license: Apache-2.0 · platforms: API, CLI, WEB · deployment: browser, cli, api_only, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: lap.sh · github.com. These links do not verify the individual claims.

In the API design, testing & docs space, LAP takes a focused approach. Inferred · not functionally tested: It focuses on helping AI agents integrate APIs accurately without guessing from incomplete or human-oriented specifications. Inferred · not functionally tested: LAP is an open-source project aimed at AI developers and teams building agent-powered applications. Basis unknown · not verified: It ships for the web, the command line, and API.

Lap-Platform builds and maintains LAP, and it first shipped in 2026. Development happens publicly on GitHub with 349 stars and 1 commit in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are API Registry, API Playground, and Verified Specs. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.