SourceScore

Verified claim · AI-ML · 100% confidence

OpenAI Structured Outputs publicly released on: 2024-08-06 — guaranteed JSON Schema conformance.

Last verified 2026-05-16 · Methodology veritas-v0.1 · a38bd7c4ac1e3ca9

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Structured fields

Subject
OpenAI Structured Outputs
Predicate
publicly_released_on
Object
2024-08-06 — guaranteed JSON Schema conformance
Confidence
100%
Tags
structured-outputs · openai · json-schema · released_on · 2024

Sources (2)

  1. [1] official blog · OpenAI · 2024-08-06

    Introducing Structured Outputs in the API
    We're introducing Structured Outputs in the API—model outputs now reliably adhere to developer-supplied JSON Schemas. Generating structured data from unstructured inputs is one of the core use cases for AI in today's applications.
    OpenAI is rated by SourceScore — see its reliability →
  2. [2] docs · OpenAI · 2024-08-06

    Structured Outputs — OpenAI Platform docsOpenAI is rated by SourceScore — see its reliability →

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OpenAI Structured Outputs publicly released on: 2024-08-06 — guaranteed JSON Schema conformance. — SourceScore Claim a38bd7c4ac1e3ca9 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/a38bd7c4ac1e3ca9.json

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Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.

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Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/a38bd7c4ac1e3ca9.json") envelope = r.json() print(envelope["claim"]["statement"]) # "OpenAI Structured Outputs publicly released on: 2024-08-06 — guaranteed JSON Schema conformance."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_openai_structured_outputs_fact() -> dict: """Fetch the verified SourceScore claim for OpenAI Structured Outputs.""" r = httpx.get("https://sourcescore.org/api/v1/claims/a38bd7c4ac1e3ca9.json") return r.json()
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