Structured Endpoints
Each endpoint returns documented fields such as sentiment and confidence, validated before the response is sent.
Strengths
- No free-text parsing
- Stable across model upgrades
- Easy to store and query
Why task endpoints with a fixed JSON schema are easier to ship and maintain than parsing free-text answers from a raw LLM prompt.
Each endpoint returns documented fields such as sentiment and confidence, validated before the response is sent.
You ask a general model for an answer and parse whatever text it returns.
Models sometimes add explanations, wrap JSON in markdown, rename keys or return a label you did not expect. Each of these becomes a bug in production. Structured endpoints validate and normalise the output so your code only sees the documented values.
When no task endpoint fits, the JSON Extractor endpoint accepts your own schema and returns data that matches it, plus a schema_conforms flag.
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Read comparisonFree plan with 100 credits/month + 1,000 bonus credits when you sign in before 23 Nov. One API key for every endpoint, with automatic provider fallback.
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