Prism 스크래퍼 API

Universal URL dispatcher: any social/commerce URL → the right detail endpoint's unified response.

Every comment on a post, replies nested, server-paginated to completion.

Brand mention volume time-series, sentiment split, top sources, and recent mentions for one keyword.

Consumer-demand nowcast: app-review velocity, web mention slope, Reddit velocity, and commerce review levels, fused into a published demand index.

Campaign tracker: pre/during/post volume lift, cross-platform engagement, and ranked top amplifiers for a hashtag or phrase.

AI Share-of-Voice / GEO monitoring: prompt set x reruns to per-brand appearance-% per AI engine plus a cited-domain ranking.

Crisis post-mortem: a who-said-what-first timeline across web, Reddit, Hacker News, and social, with an origin, peak, propagation sequence, and a grounded narrative.

Stateless crisis breach check: a z-score on daily mention volume and negative share, with on-breach confirmation and a severity grade.

Developer-brand health: a devtool's repo dossier + Hacker News reaction + Reddit chatter + dev-blog echo, in one call.

Ranked feed of public conversations where people seek alternatives to or are switching from a competitor.

A brand's earned-media footprint — news + tech-press + fresh-web clips, deduped and ranked, with an outlet-coverage rollup.

A Truth Social handle's pulse — profile, recent posts, per-post detail drill, and the news echo, in one call.

How a launch landed — the Hacker News reaction (top threads + comments), the dev-blog echo, and an optional repo dossier.

How much two TikTok creators' commenter audiences overlap — Jaccard, shared-fan count, and a confidence label.

A brand's cross-source reputation — Trustpilot + app stores + Google Business + web sentiment, blended into one weighted score with themed pros/cons.

A company's employer brand — what people say about working there across Reddit, the web, YouTube, Naver, and the company's own LinkedIn voice.

The real questions a topic's audience asks — harvested from Reddit + YouTube threads and clustered by intent (who/what/why/how/vs).

A product's reviews across Amazon + Google Shopping + Trustpilot, folded into a cross-marketplace rating + themed pros/cons report.

One app across Google Play + the App Store — resolved, title-matched, and compared into a cross-store rating + listing report.

A GitHub org's footprint — its top repos each expanded into a full dossier (releases, issue load, top request/complaint), rolled up.

Vet a creator before partnering — engagement quality, commenter authenticity, posting cadence, and controversy signals, optionally across platforms.

What the world is talking about that Korea isn't (and vice versa) — the global vs Korean (Naver) conversation gap for a brand/topic.

Engagement-weighted Share of Voice across 2-5 brands, with web+social split, emotion overlay, and ESOV.

Cross-source review integrity verdict (statistical, deterministic).

Multi-engine AI consensus: one question → Perplexity + Grok + Tavily answers verbatim, merged citations, and an agreement matrix.

One video URL → detail + stats + transcript + top comments + commenter sample, across YouTube/TikTok/Rumble/Instagram.

One person's public posts across X, Threads, Bluesky, and Truth Social, time-merged.

Cross-store app review intelligence (Google Play + App Store) — translated, clustered, sentiment-scored.

One handle, unified author cards across TikTok, Instagram, YouTube, X (and more).

Should you pull this handle? One call scores a handle across platforms, ranks the best ones, and projects the data volume + credit cost to pull it.

Up to 100 mixed-platform post URLs → current engagement per URL, failed URLs refunded.

Re-check up to 25 known comments in one call — per-item results, failed items refunded.

Up to 50 (platform, handle) pairs → one canonical Author per row, failed handles refunded.

엔드포인트 20개

엔드포인트 33개

엔드포인트 28개

엔드포인트 22개