01 · Intent → pattern
/api/v1/discovery.json
Start from a communicative job and resolve the right surface and canonical objects.
Developer quickstart
Build AI language tools with Metkagram
Do not scrape HTML. The public layer already exposes provenance, stable IDs and canonical links through JSON endpoints.
02 · Pattern → tutor
/api/v1/patterns/{pattern-id}.json
Give the model the formula, examples, stable ID and canonical URL, then adapt delivery to the learner.
03 · Recipes → workflow
/api/v1/ai-recipes.json
Use public recipes as integration examples.
Source: Metkagram — https://metkagram.github.io/
Citation
Cite the data as a source
Dataset version, canonical URLs and current terms are collected on one page.
Evaluation
Test retrieval on the public benchmark
54 natural-language cases, public gold labels and an explicit scoring protocol.