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Fact API fundamentals: from claims to verifiable evidence
Understand what a fact API should return, where evidence fits, and how to design a response that can be inspected.
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Read the fieldnote10 FIELDNOTES / 4 PERSPECTIVES
The Evidence Journal
Fieldnotes for people who build, check, and publish. Practical reading on factual APIs, AI answers, citations, and the evidence behind them.
ALL FIELDNOTES
Read the evidence.
Citation quality
Online fact checks: use Snopes without losing context
Match the exact claim, inspect the reasoning, and preserve dates and qualifications when using published fact checks.
Citation quality
Fact citation AI: build an evidence-grounded answer
Connect claims to passages before generation, then check that the final answer stays within the evidence.
API engineering
Structured fact data: a provenance-first JSON design
A practical data model for claims, sources, evidence relationships, assessment history, and clearly defined uncertainty.
Research integrity
Source watch: monitor corrections, updates, and retractions
Design a source-monitoring process that turns scholarly updates into reviewable actions for dependent claims.
LLM evaluation
Choosing an AI LLM fact-checking service: a practical evaluation
Compare evidence boundaries, evaluation results, privacy questions, review effort, and integration requirements.
API engineering
Fact extraction APIs: turn text into atomic claims
Split complex text into checkable statements without losing the qualifiers, attribution, and context that change the question.
Research integrity
Academic fact checking: read beyond the abstract
A journal-article review workflow for tracing claims to methods, results, versions, and appropriate qualifications.
Citation quality
Citation checker: verify identity, accuracy, and support
Go beyond working links to inspect bibliographic identity, source passages, quotations, and the meaning of a citation.
LLM evaluation
LLM fact checking: evaluate what an answer actually supports
Build a claim-level evaluation process that separates retrieval gaps, assessment errors, and missing evidence.
API engineering
Fact API fundamentals: from claims to verifiable evidence
Understand what a fact API should return, where evidence fits, and how to design a response that can be inspected.
Follow the claim. Find the evidence.
Go from a better question to a clearer evidence trail—one fieldnote at a time.