Crypto narrative trend radar inside an AI research workflow

Why price charts without attention charts confuse readers

A green candle only states where matched orders cleared. It does not say whether households started searching the asset name, whether wire services assigned more paragraphs, or whether newcomers opened reference articles. Narrative research benefits from both layers so the writer can separate liquidity episodes from education waves.

How analysts phrase questions without implying a forecast

Ask the assistant for attention metrics using TrendsMCP in the prompt, then keep conclusions in conditional language. Note when search rises while news sentiment falls, since that pattern often marks controversy rather than adoption.

Teams that cover macro rotations may also use https://www.trendsmcp.ai/sector-rotation-signals. For pure news mechanics, see https://www.trendsmcp.ai/news-sentiment-data and https://www.trendsmcp.ai/news-volume-data.

Compliance habits that survive an audit

Log who ran each pull, which API key was active, and which keyword list shipped in the PDF. Avoid cherry-picking a single spike without showing the surrounding month. When the pipeline returns partial data, describe the gap in the footnote.

Limits specific to crypto discourse

Exchange outages, airdrop spam, and bot traffic can distort casual keyword lists. Prefer phrases your editor would allow in print. If two communities use different slang for the same asset, track both strings and explain overlap in prose rather than merging silently.