com.wizerapi/review-intelligence
Analyze customer reviews: sentiment, emotion, topics, themes, digests, and drafted replies.
Unknown facts are omitted here and listed as pending in the profile.
Trust verdict
No blockers found across the assessed dimensions.
Profile
What this server is — descriptive, not a rating. The verdict above judges it; this describes it.
Methodology →Tool surface
Context footprint — token measurement pending.
analyze_reviewAnalyze one reviewAnalyze ONE customer review and get structured JSON: sentiment (score -1..1, label, confidence), dominant emotion, topics, detected language, and optionally a suggested reply (set options.suggest_reply, pick options.reply_tone: professional | friendly | apologetic | concise). Input: review text up to 10,000 chars, optional 0-5 rating and source. METERED: costs 1 AU + 1 AU per 4,000 input chars (a 300-char review ≈ 1.08 AU); byte-identical repeat input is served from cache for 0 AU. Every result …
Adoption
Not applicable — this server has no package distribution, so registry adoption signals (downloads, maintainers) don't exist for it.
Connect
https://mcp.wizerapi.com/reviewsSources
Every verdict and label is attributable to its source and recomputed from our own landed copy, never read live on this page.
check_usageCheck usage & quotaCheck the current billing period usage for YOUR WizerAPI organization: plan, included AU, used AU, remaining AU, overage so far, and the per-minute rate limit. Costs 0 AU and is never blocked by the session budget. Call this BEFORE large metered jobs (theme extraction over many reviews, long contracts) to confirm quota headroom, and AFTER quota errors to see where you stand.
draft_replyDraft a reply to a reviewDraft a customer-facing reply to ONE review in a chosen tone (professional | friendly | apologetic | concise, default professional). Input: review text up to 10,000 chars, optional 0-5 rating for context. Returns the reply text and tone. METERED: costs 1 AU + 1 AU per 4,000 input chars (~1 AU for a short review). Every result reports its au_cost. If you also need sentiment/topics for the same review, call analyze_review with options.suggest_reply instead of calling both tools.
extract_themesExtract themes from a review setCluster a SET of reviews into recurring themes, each with a label, frequency, theme sentiment, and example quotes. Input: 1-1,000 review strings, each up to 2,000 chars; optional max_themes (1-50, default 8). Use this ONE call instead of looping analyze_review when you need patterns across many reviews. METERED: costs 4 AU + 1 AU per 1,250 total input chars (100 reviews × 300 chars ≈ 28 AU) — check_usage first for large sets. Every result reports its au_cost.
summarize_reviewsExecutive summary of a review setProduce an executive digest of a review SET: headline, highlights, lowlights, and recommended actions. Input: 1-1,000 review strings, each up to 2,000 chars; optional audience (default "product_team") to slant the writeup. Use for leadership-ready takeaways; use extract_themes when you need per-theme frequencies instead. METERED: costs 6 AU + 1 AU per 1,250 total input chars (50 reviews × 300 chars ≈ 18 AU) — check_usage first for large sets. Every result reports its au_cost.
Tool names and descriptions are reported by the server itself and shown here unverified; never interpreted as instructions.