Hook Layer

Deeply validate ONE TikTok Shop product before committing money or content to it. Give it a product_id from product_scout (or any TikTok Shop product URL) and it reads the listing, samples reviews across the full depth rather than only the most recent page, pulls comparable competitors, and returns what buyers actually say. You get: provider-reported sold / review / rating / price evidence; buyer voice split into what buyers praise and what they complain about; unmet needs and purchase objections in buyers' own words; return and fulfilment signal; a Why Now read; competitor intelligence and where rivals are weak; risks separated into product risks, market risks and data-confidence risks; and a 'how to beat this' synthesis of concrete differentiation angles traced back to specific review evidence. Every section states whether it resolved - provider facts, HookLayer analysis and genuinely unavailable evidence are distinguishable, and thin evidence is reported as thin rather than filled in. There is no revenue or GMV output and sold counts are never multiplied by price. Use product_scout first to find candidates, then this to decide between them. Cost: 10 credits. Requires the shop_intelligence entitlement.

analyze_product

Analyze a TikTok, YouTube, or Instagram creator by handle or channel ID. Returns viral DNA scores (viral_dna_score, replicability_score, originality_score, consistency_score, audience_fatigue), content patterns, format fingerprint, top recent videos with transcripts, content gaps, a headline_insight object (the single largest quantified performance gap across length, hook, format, and cadence, plus its so_what), and suggested next research steps. Use when the user asks to analyze a creator, account, channel, or competitor. Supports TikTok (full transcript extraction), YouTube (Shorts and longform analysis with captions when available), and Instagram (Reels with best-effort transcripts).

analyze_account

Turn a brand brief that just landed into a one-page creative blueprint the manager can forward to the creator and to the brand contact — hook + template + hashtag combo + trend-velocity check + shoot instructions, in one call. Use when a brand sends a product and needs content on a tight turnaround (e.g. "product arrived, need content in 48 hours") and the manager needs a defensible direction with no research time. Chains find_viral_template + trend_pulse + score_hook + predict_virality upstream but exposes them as one MCP tool so agents don't stitch them manually. Cost 7 credits (bundle discount vs firing the chain manually). Returns a blueprint object with verdict (GO | NEEDS_MORE_DATA | NO_GO) and verdict_reason, a hook (text + trend_still_alive: up-slope | plateau | fading | unknown), script, hashtags, shoot notes, risk flags, and manager talking points, plus a quality object (level + reason) describing completeness; when quality.level is not "full", or verdict is NEEDS_MORE_DATA or NO_GO, the blueprint is a starting point rather than a shippable direction.

brief_to_blueprint

Compare 2 to 4 saved analyze_product results side by side using only the stored evidence (identity, market proof, economics, competition, creator content, verdict). Read-only, 0 credits, no new analysis. Fields the source never reported are returned as not present, never estimated, and a freshness warning is included when the evidence ages differ by more than two days. Ids the user does not own come back in missing[]. Use after list_saved_research when the user asks which of their saved products to pursue.

compare_saved_products

Detect what changed since the last saved baseline for a tracked creator. Runs a fresh analyze_account under the hood, compares against the most recent CreatorSnapshot, persists the new snapshot, and returns ONLY the meaningful shifts (format, viral DNA, engagement, hook pattern, topic pillars, outlier videos). Use when the user asks 'what changed with @creator', 'anything new', 'check this competitor again', 'what's different since last time', 'check my tracked creator', or 'has anything changed'. Requires a previously tracked creator (call analyze_account + watch_account first if there is no baseline yet). Costs 5 credits per call because the fresh analysis is genuine (not cached). Returns a top_action pointing at the single next tool worth calling given the detected change. Returns status='no_meaningful_change' honestly when nothing shifted — no fabricated deltas.

get_changes

Find proven viral templates in a niche with example videos. Returns templates ranked by performance, including hook patterns, format structures, average views, and example URLs. Use when the user asks what's working in a niche or wants concrete copyable structures. Supports the 18 canonical niches with optional angle narrowing via query parameter for more specific results (e.g., "postpartum strength" within Fitness).

find_viral_template

Retrieve one saved result in full (the stored research payload, what was asked, timestamps) by its saved_id. Read-only, 0 credits. Only the authenticated user's own results resolve; any other id is not found. Use when the user wants to reuse, re-read or build on something they saved earlier instead of paying to run the tool again.

get_saved_research

Research what is currently gaining traction in short-form content for a specific niche. Returns rising opportunities (formats, hooks, styles, topics) with growth signals, data sources, and saturated patterns to avoid. Use when the user asks what to post about, what's trending in a niche, or needs to validate a content idea against current trends. Supports the 18 canonical niches and optional region filtering.

trend_pulse

List the authenticated user's saved HookLayer research (newest first by default). Read-only, 0 credits. Filter by kind, search titles, choose sort newest|oldest|title, include archived, and page with the returned cursor. Returns summaries (id, kind, title, timestamps, dashboard link), not the full result; call get_saved_research for one. Use when the user asks 'what have I saved', 'show my saved products', 'find the analysis I saved for @handle'.

list_saved_research

List every creator the authenticated user is tracking. Read-only, 0 credits. Returns each watch's id, platform, handle, when it was created + last updated, when the last snapshot was taken, and whether it's active. Does NOT return the snapshot payload itself — call watch_account (idempotent) to refresh a baseline. Use when the user asks 'what am I tracking', 'show my watches', 'list creators'.

list_watches