Unyly Gateway
One connector for the entire MCP catalog — 15,000+ servers plus your team's private MCPs — callable from Claude, ChatGPT, Cursor, VS Code and any MCP client.
Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeRead-only
What it can do
- Search Mcps: Search the Unyly MCP catalog (47,000+ servers) by task, name or category. Returns matching MCPs: slug, name, what they do, and reachability ([remote] = callable through the gateway; [host
- List Mcp Tools: Unyly gateway — list the tools of a catalog MCP by slug (from search_mcps), so you can see what it can do before calling use_mcp_tool. If it replies that the server is hosted/stdio and
- Use Mcp Tool: Unyly gateway — call a tool on any of the 47,000+ MCP servers in the Unyly catalog. Provide mcp_slug, tool, and arguments (object). "Payment required" means the user’s team/wallet balanc
What data it sees
Do you need an account
No: the server works without sign-in
One connector for the entire MCP catalog — 15,000+ servers plus your team's private MCPs — callable from Claude, ChatGPT, Cursor, VS Code and any MCP client. Search, list and call any server through a single OAuth endpoint. No per-server install, no JSON config.
How to connect
How to connect Unyly Gateway to Claude
The server address to paste into Claude settings:
https://gateway--unyly.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Unyly Gateway to ChatGPT
The server address to paste into ChatGPT settings:
https://gateway--unyly.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Unyly Gateway to Cursor
The server address to paste into Cursor settings:
https://gateway--unyly.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (60)
Raw names from tools/list. Only developers need these.
| search_mcps | Search the Unyly MCP catalog (47,000+ servers) by task, name or category. Returns matching MCPs: slug, name, what they do, and reachability ([remote] = callable through the gateway; [hosted] = local/stdio, may not be runnable yet). Use this first when you need a capability you don't already have as a `<slug>__<tool>` tool, then call list_mcp_tools on a [remote] slug. |
| list_mcp_tools | Unyly gateway — list the tools of a catalog MCP by slug (from search_mcps), so you can see what it can do before calling use_mcp_tool. If it replies that the server is hosted/stdio and not enabled, that MCP can’t be called through the gateway yet — pick a [remote] one instead. |
| use_mcp_tool | Unyly gateway — call a tool on any of the 47,000+ MCP servers in the Unyly catalog. Provide mcp_slug, tool, and arguments (object). "Payment required" means the user’s team/wallet balance is empty — tell them to top up at unyly.org, it is not an error on your side. "hosted/stdio not enabled" means that server can’t run through the gateway yet — use a [remote] one. |
| nectarin-intelligence-worker__ru_benchmarks | [NECTARIN Intelligence] RU/CIS advertising benchmarks. Returns CPM/CTR/CPA/VTR ranges (p25/p50/p75) and percentile context for a category × KPI, optionally narrowed to one platform (VK Ads, Yandex Direct, Telegram Ads, OLV, Avito). Categories incl. realty, finance, auto, retail, fmcg, pharma, ecom, edtech. Includes data provenance. Mock aggregated data. |
| nectarin-intelligence-worker__supplier_quality | [NECTARIN Intelligence] Inventory / supplier quality index for RU/CIS. Filter by format and/or platform (optionally a category) to get a 0-100 quality score, fraud-risk rating, viewability/human-traffic signals, and a list of recommended (clean) formats plus suppliers to avoid. Mock data. |
| nectarin-intelligence-worker__media_plan | [NECTARIN Intelligence] Build a RU/CIS media plan. Distributes a RUB budget across VK Ads / Yandex Direct / Telegram Ads / OLV based on the marketing goal, then computes a real forecast from mock benchmarks (impressions = spend / CPM * 1000, clicks = impressions * CTR, conversions = spend / CPA, plus estimated reach and blended CPA). Returns channel split %, flighting, forecast totals, per-channel detail, narrative rationale, and compliance flags. |
| nectarin-intelligence-worker__category_playbook | [NECTARIN Intelligence] Category go-to-market playbook for RU/CIS: communication territories, do's & don'ts, seasonal hooks, and compliance notes. Regulated categories (pharma, finance) get a STOP-GATE flag requiring legal sign-off before launch. Mock data, not legal advice. |
| nectarin-intelligence-worker__audience_insights | [NECTARIN Intelligence] Audience insights for a RU/CIS category: key segments (with relative size and notes), Jobs-To-Be-Done, and media affinities (which channels each audience leans into). Optional geo refinement. Mock data. |
| nectarin-intelligence-worker__competitor_scan | [NECTARIN Intelligence] Competitive landscape scan for RU/CIS. Provide a brand and/or category to get a list of likely competitors with estimated media activity, primary channels, and the communication territory each tends to own. Synthetic estimates — wire to real SOV monitoring (Mediascope, Brand Analytics) in production. |
| nectarin-intelligence-worker__geo_aeo_audit | [NECTARIN Intelligence] GEO / AEO (Generative & Answer Engine Optimization) audit for a brand: estimated visibility score inside AI answer engines and RU search — Yandex (neuro), GigaChat (Sber), YandexGPT/Alice, ChatGPT — plus concrete recommendations to improve how models describe and cite the brand. Synthetic scores. |
| nectarin-intelligence-worker__creative_brief | [NECTARIN Intelligence] Generate a creative brief for a product, audience and channel: objective, single-minded proposition, tone, mandatories (incl. RU ad-labeling), channel craft notes, and 3 distinct concept territories. Narrative comes from the (stubbed) LLM grounded on structured inputs. |
| nectarin-intelligence-worker__report_explain | [NECTARIN Intelligence] Explain a campaign metrics report in plain language. Accepts a JSON string of metrics (e.g. {"cpm":300,"ctr":0.4,"cpa":1800,"vtr":55}), returns a plain-language summary, detected anomalies (heuristic), and 3 prioritized recommendations. |
| nectarin-intelligence-worker__budget_optimizer | [NECTARIN Intelligence] Optimize a RUB media budget across VK Ads / Yandex Direct / Telegram Ads / OLV to MAXIMIZE conversions (not just follow a goal preset). Uses real optimization: conversions/RUB = 1/CPA, then water-fills the lowest-CPA channels first up to a per-channel cap (default 45%). Returns the optimal allocation, projected conversions & blended CPA, and the uplift vs. the goal-preset split. Mock benchmarks. |
| nectarin-intelligence-worker__strategy_orchestrate | [NECTARIN Intelligence] FLAGSHIP end-to-end orchestration. In ONE call NECTARIN fans out to all of its workers and returns a complete go-to-market strategy: RU/CIS CPA benchmarks, audience segments & JTBD, competitor landscape, goal-based channel split WITH a forecast (impressions/reach/conversions/blended CPA), a conversion-maximizing optimized split, a lead creative concept, compliance gate, a quick ROI framing, and an executive summary. The narrative uses a real LLM when LLM_API_KEY is set (Anthropic/OpenAI), otherwise a deterministic stub. Mock/synthetic data; not legal advice. |
| nectarin-intelligence-worker__roi_calculator | [NECTARIN Intelligence] SELL value. Projects the ROI of moving a media budget onto NECTARIN. Inputs: monthly_budget (RUB), optional current_cpa, and category. Output: current vs. projected CPA, extra monthly conversions, and estimated annual value — all derived from the same mock RU/CIS benchmarks (CPA p25/p50) the Intelligence tools use, with the method shown so the number is auditable. Synthetic/illustrative, not a guarantee. |
| nectarin-intelligence-worker__lead_qualify | [NECTARIN Intelligence] Qualify a marketer as a NECTARIN lead. Inputs: company, monthly_budget (RUB), industry, goal. Output: a 0-100 fit score, the recommended NECTARIN engagement tier (self-serve / managed / enterprise retainer) via budget thresholds + regulated-category and goal signals, and a plain rationale. Deterministic funnel logic — no external scoring service. |
| nectarin-intelligence-worker__request_nectarin_proposal | [NECTARIN Intelligence] Capture a structured RFP/brief for a NECTARIN engagement and return it for review along with a clearly-stubbed submission reference and next steps. Inputs: brief fields (company, industry, monthly_budget, goal, timeline, notes) + contact (name, email) provided BY THE USER. IMPORTANT: this does NOT send anything anywhere — no CRM write, no webhook, no email. It only echoes a structured brief + a local reference id. Wire the real CRM/webhook where marked in code. Do not include sensitive/special-category PII. |
| nectarin-intelligence-worker__book_consultation | [NECTARIN Intelligence] Return a scheduling CTA for a NECTARIN consultation: a booking URL (from env NECTARIN_BOOKING_URL, placeholder by default), the topic, an optional preferred_time echoed back, and a short 'what to prepare' checklist. No calendar API is called — this is a CTA generator, not a booking write. |
| nectarin-intelligence-worker__automation_recipe | [NECTARIN Intelligence] Describe a concrete multi-agent automation workflow NECTARIN can run for the client. Input: task (weekly_reporting | creative_variants | tender_deck | competitor_monitoring). Output: ordered steps, which INTERNAL NECTARIN tools each step calls, the cadence, the deliverable, and estimated time saved. This frames NECTARIN as managed automation, not just advice. |
| nectarin-intelligence-worker__value_forecast | [NECTARIN Intelligence] Three-scenario value projection (conservative / base / ambitious) of what NECTARIN + AI can deliver. Inputs: brand, budget (monthly RUB), horizon_months. Output: per-scenario reach, efficiency (CPA) and cumulative savings vs. status quo, with assumptions stated. Anchored to mock category-neutral benchmarks; deterministic. Illustrative, not a guarantee. |
| nectarin-intelligence-worker__compliance_check | [NECTARIN Intelligence] RU advertising-law compliance review of ad copy. Paste the creative text (+ optional category/platform) and get: a 0-100 compliance score, a list of flagged risks with severity, the relevant ФЗ-38 «О рекламе» article, and a concrete fix — covering superlatives/ФАС risk, comparative claims, finance (ПСК, guaranteed returns — ст. 28), pharma (mandatory warning — ст. 24), alcohol/tobacco/gambling hard-blocks, and ОРД/ЕРИР marking. When an LLM key is configured it also returns extra nuance and a compliant rewrite. Decision-support, NOT legal advice. |
| nectarin-intelligence-worker__ab_test_planner | [NECTARIN Intelligence] Plan an A/B test with real statistics (two-proportion z-test power analysis). Inputs: baselineRatePct (current conversion %), mdeRelPct (minimum relative uplift to detect, e.g. 10 = +10%), dailyVisitorsPerVariant, optional variants (default 2), powerPct (default 80), alphaPct (default 5, two-sided). Returns the required sample size per variant, total, estimated test duration in days, the detectable absolute lift, and guardrails (min runtime, multiple-comparison note). Deterministic — uses the inverse-normal (Acklam) for exact z-scores. |
| nectarin-intelligence-worker__unit_economics | [NECTARIN Intelligence] Marketing unit economics & health check. Inputs: aov (avg order value or ARPU per purchase, RUB), grossMarginPct, and EITHER cac directly OR (monthlySpend + newCustomers) to derive it; plus repeat behaviour as purchasesPerYear and lifespanYears (or churnRatePct). Returns gross-margin LTV, LTV:CAC, payback period (months), ROAS, contribution per customer, a health verdict (LTV:CAC ≥3 healthy, payback <12mo good), and concrete levers. Deterministic; illustrative, not a guarantee. |
| nectarin-intelligence-worker__funnel_model | [NECTARIN Intelligence] Model the FULL marketing funnel for a budget, end to end: impressions → reach → clicks → leads → qualified → sales → revenue, with conservative/base/optimistic (P10/P50/P90-style) scenarios derived from the benchmark spread (p75/p50/p25 CPM·CTR). Reports stage counts, drop-off at each step, CAC, ROAS and revenue when an AOV is given. Identifies the biggest leak. Deterministic; illustrative, not a guarantee. OPTIONAL: set `useTenantData:true` to derive real click→lead / lead→sale conversion rates (and AOV) from the tenant's funnel counts in KV (mode=kv only; strictly opt-in — absent/mock ⇒ unchanged category defaults). |
| nectarin-intelligence-worker__seasonality_forecast | [NECTARIN Intelligence] When to spend. Returns a 12-month demand/competition index for a RU/CIS category (mean ≈ 1.0), the peak and trough months, a recommended budget weighting across months, and a flighting recommendation (lean in before peaks, protect efficiency in troughs). Optionally splits a provided annual budget by month. Deterministic. |
| nectarin-intelligence-worker__creative_score | [NECTARIN Intelligence] Score an ad creative (headline + body, optional CTA) on performance best-practices: clear value proposition, specificity/numbers, a strong CTA, length discipline, urgency/relevance, and a benefit (not feature) focus. Returns a 0-100 score, per-criterion pass/fail with fixes, and a quick compliance risk flag (delegates depth to compliance_check). With an LLM key it adds two improved variants. Deterministic core. |
| nectarin-intelligence-worker__attribution_model | [NECTARIN Intelligence] Multi-touch attribution simulator. Given conversion PATHS (ordered channel sequences with their conversion counts), it credits conversions to channels under five models — first-touch, last-touch, linear, position-based (U-shaped 40/20/40) and time-decay — and highlights which channels are UNDER- or OVER-valued by naive last-touch vs. multi-touch (the key budget-reallocation insight). Deterministic. |
| nectarin-intelligence-worker__bid_simulator | [NECTARIN Intelligence] Simulate an auction bidding strategy. Using the category's benchmark CPC (derived from CPM/CTR) and conversion rate (from CPC/CPA), it sweeps bid levels and returns a trade-off curve — win-rate, clicks, conversions, spend and resulting CPA at each bid — capped by a daily budget. Recommends the bid that hits a target CPA (if given) or maximizes conversions. Synthetic logistic auction model, clearly labelled. |
| nectarin-intelligence-worker__report_export | [NECTARIN Intelligence] Turn a strategy or analysis into a presentation-ready deck. Pass the `strategy` object (e.g. the structuredContent.data from strategy_orchestrate) and/or your own `sections`; get back ordered slides (title + bullets + speaker notes), a full Markdown deck (--- separated), and a condensed one-pager. Optional LLM polish of the executive summary. Deterministic formatter — compose it after strategy_orchestrate. |
| nectarin-intelligence-worker__localize | [NECTARIN Intelligence] Localize marketing text for RU/CIS markets. Translates and culturally adapts copy into Russian, English, Kazakh or Uzbek while preserving marketing intent and tone. Requires an LLM key; without one it returns the original text with a clear note (never fails). Use it to ship one creative across CIS markets. |
| nectarin-intelligence-worker__creative_testing_matrix | [NECTARIN Intelligence] Multi-variant creative/landing test RESULTS analyzer (the read side of ab_test_planner). From ≥2 arms with OBSERVED visitors + conversions, picks a control (named, else the highest-traffic arm), then for every other arm computes the conversion rate, the absolute & relative lift vs. control, a pooled two-proportion z-test (z, two-tailed p) and significance under a multiple-comparison-corrected α (Bonferroni or Šidák across k−1 comparisons). For non-significant arms it estimates the ADDITIONAL sample per arm needed to detect the observed effect at the target power. Declares WINNER / LOSER / KEEP TESTING / INSUFFICIENT DATA per arm, names the best arm and a roll-out recommendation. Deterministic frequentist statistics on YOUR data — decision support, not a guarantee. |
| nectarin-intelligence-worker__creative_variants | [NECTARIN Intelligence] Generate AND score multiple ready-to-test ad variants for a product × audience × channel. With an LLM key it writes N on-brand, RU-compliant variants (KV-cached); without a key it returns strong deterministic template variants. Every variant is scored by the same heuristic as creative_score (0-100 + grade) and gets a quick compliance flag, then ranked best-first. Pairs with ab_test_planner to test the winners. |
| nectarin-intelligence-worker__anomaly_detector | [NECTARIN Intelligence] Flag anomalies in a metric time series (e.g. daily CPA, CTR, spend, conversions) for always-on monitoring. Uses a robust median/MAD z-score (resistant to outliers), with a std-based fallback for low-variance series. Reports each anomaly's index, value, z-score, direction and severity, whether the LATEST point is anomalous, and the baseline. Deterministic. |
| nectarin-intelligence-worker__cohort_ltv | [NECTARIN Intelligence] Project a cohort's lifetime value from a retention curve. Provide either an explicit retentionCurve (fraction surviving each period, period 0 = 1.0) OR a monthlyChurnPct + periods to synthesize one. Returns per-period survivors/revenue, cumulative LTV per customer and for the whole cohort, optional NPV discounting, and payback period if CAC is given. Complements unit_economics. Deterministic; figures illustrative. |
| nectarin-intelligence-worker__utm_builder | [NECTARIN Intelligence] Build a consistent, validated UTM tracking URL. Normalizes source/medium/campaign/term/content to a chosen casing convention (lower/snake/kebab/preserve), URL-encodes safely, preserves any existing query params, and warns about common mistakes (uppercase, spaces, non-ASCII/Cyrillic, missing required fields). Also returns a campaign naming-convention suggestion. Deterministic; no network call. |
| nectarin-intelligence-worker__pacing_monitor | [NECTARIN Intelligence] Monitor budget pacing against an even spend curve. Given total budget, total/elapsed days and spend-to-date, it computes expected spend, pace ratio, status (under/on-track/over), projected end-of-period spend, remaining budget/days and the recommended daily spend to land exactly on budget. Deterministic; figures illustrative. |
| nectarin-intelligence-worker__response_curve | [NECTARIN Intelligence] Channel saturation / diminishing-returns modeling + budget reallocation. Fits a constant-elasticity response curve (conversions = a·spend^b, 0<b<1) to YOUR current per-channel spend & conversions, then computes the conversion-maximizing split for a target total budget (closed-form: share ∝ a^(1/(1-b))). Returns recommended spend per channel, projected conversions, marginal CPA, blended-CPA improvement and uplift vs. current. Model-based decision support (not real benchmarks). |
| nectarin-intelligence-worker__budget_pacing_forecast | [NECTARIN Intelligence] Trend-aware budget pacing forecast. From the total budget, total/elapsed days and spend-to-date — and optionally the recent daily spend series — it projects end-of-flight spend from the RECENT run-rate (not just a flat average), the over/under-spend variance %, the days to exhaust the budget at the current rate, and the recommended daily rate (and % adjustment) to land exactly on budget. Optional conversions-to-date adds a CPA pace. Complements pacing_monitor (linear) with a trend-based projection. Deterministic; figures illustrative. |
| nectarin-intelligence-worker__utm_taxonomy_qa | [NECTARIN Intelligence] Batch UTM / taxonomy governance auditor. Give it a list of tagged URLs (or raw UTM query strings) and it parses every link, checks each for missing required params (utm_source/medium/campaign by default), uppercase, spaces and non-ASCII/Cyrillic, then aggregates a 0–100 consistency score, near-duplicate value variants per parameter (e.g. 'facebook' vs 'Facebook' vs 'fb'), values outside an optional allow-list for source/medium, and concrete fixes. Complements utm_builder (which builds ONE link) by auditing a whole campaign export for consistency. Deterministic; no network call. |
| nectarin-intelligence-worker__mmm_optimize | [NECTARIN Intelligence] Marketing Mix Model (MMM-lite). From each channel's spend & conversions TIME SERIES, fits adstock/carryover (geometric decay λ, grid-searched by fit R²) and saturation (conversions = a·effectiveSpend^b, log-log least squares, 0<b≤1), then computes the conversion-maximizing STEADY-STATE budget split across channels via exact Lagrange bisection (marginal CPA equalized across funded channels). Returns per-channel adstock decay, saturation elasticity, fit R²/confidence, recommended spend, projected steady-state conversions, marginal CPA, and uplift vs. current. Uses YOUR real series — deterministic, model-based decision support (not real benchmarks). |
| nectarin-intelligence-worker__gtm_calendar | [NECTARIN Intelligence] Build a phased go-to-market roadmap for RU/CIS: splits the horizon into Test → Scale → Optimize phases, assigns goal-driven budget weights and channel emphasis per phase, then produces a WEEK-BY-WEEK budget pacing curve that leans spend into high-demand weeks using the category's monthly seasonality index. Returns per-phase objectives, KPIs and exit criteria, seasonal windows (peak/soft) inside the horizon, and milestones. Deterministic; mock seasonality/benchmarks; not legal advice. Pairs with media_plan / budget_optimizer (what to spend where) — this answers WHEN and in what sequence. |
| nectarin-intelligence-worker__scenario_planner | [NECTARIN Intelligence] What-if budget scenario comparator. Takes CURRENT per-channel spend & conversions plus named scenarios (e.g. conservative/base/aggressive, via a budgetMultiplier and/or absolute per-channel spend overrides) and projects each scenario's conversions, blended CPA, incremental conversions vs. today, and — if revenuePerConversion is given — revenue, profit, ROAS and ROI%. Each channel uses a constant-elasticity diminishing-returns curve conversions=conv₀·(spend/spend₀)^b calibrated to its own current point (b default 0.7, per-channel overridable). Ranks scenarios by objective (max_conversions | min_cpa | max_roi), recommends one with a rationale and an elasticity-sensitivity note. Uses YOUR numbers — deterministic decision support, not benchmarks. Complements mmm_optimize (optimal split) / budget_optimizer (single-budget allocation): this compares YOUR candidate plans head-to-head. |
| nectarin-intelligence-worker__promo_planner | [NECTARIN Intelligence] Promo / discount P&L and break-even calculator. From regular price, variable unit cost and baseline period volume, computes the post-discount unit margin, the BREAK-EVEN volume uplift the promo must clear to avoid losing money, and — if expectedUpliftPct is given — projected units/revenue/profit, incremental profit vs. baseline and ROI on the discount investment. Supports an optional fixed promo cost (media/ops) and a pull-forward/cannibalization penalty on incremental volume. Returns a verdict (profitable / needs more uplift / margin-destroying). Deterministic trade-marketing math on YOUR numbers — decision support, not a guarantee. |
| nectarin-intelligence-worker__price_optimizer | [NECTARIN Intelligence] Profit-maximizing price finder. From ≥2 historical (price, units) observations, fits a constant-elasticity demand curve Q = a·P^(-e) by log-log least squares, estimates the price elasticity of demand, and — when demand is elastic (e>1) — computes the profit-maximizing price P* = cost·e/(e−1) (standard markup rule), with projected units/revenue/profit and the uplift vs. an optional currentPrice. Flags inelastic demand (e≤1, no interior optimum) and low-confidence fits. Deterministic, on YOUR data — decision support, not a guarantee. Complements promo_planner (which evaluates a fixed discount). |
| nectarin-intelligence-worker__marketing_audit | [NECTARIN Intelligence] Senior-level account health audit. Give the current per-channel spend & conversions for a category and NECTARIN scores each channel's CPA against RU/CIS benchmarks (p25/p50/p75), flags concentration risk (one channel hogging budget) and untracked channels (no conversions), computes an overall health score (0-100) + grade A–D, and returns a PRIORITIZED action plan — including a concrete budget reallocation with projected extra conversions and saved spend. Optional targetCpa compares blended CPA to your business goal. Deterministic; benchmarks are mock unless real data is layered into KV. |
| nectarin-intelligence-worker__landing_cro_audit | [NECTARIN Intelligence] Heuristic conversion-rate-optimization (CRO) audit for a landing page. Scores up to seven UX/performance dimensions you provide — page speed (loadTimeSec), bounce rate, mobile parity (mobile vs overall CR), form friction (formFields + stepsToConvert), CTA clarity (hasClearCta + aboveFoldCta), trust & social proof (hasSocialProof + hasTrustSignals), and CR vs an industry benchmark — into a weighted 0-100 CRO score with a letter grade. Returns a prioritized issue list (by weight × gap), concrete fixes, and a projected CR uplift (multiplicative, with diminishing returns) that, given monthlyVisitors + AOV, is translated into incremental conversions & revenue. Heuristic decision support — validate with a real A/B test (see ab_test_planner / creative_testing_matrix), not a guarantee. |
| nectarin-intelligence-worker__board_report | [NECTARIN Intelligence] Executive one-pager (orchestrator). Give a category and current per-channel spend & conversions; board_report internally runs marketing_audit (health score, channel verdicts, concentration/untracked risks, prioritized actions) and scenario_planner (a +15% budget upside scenario), then assembles a board-ready brief: status + grade, headline metrics (spend, conversions, blended CPA, and revenue/profit/ROI if revenuePerConversion is given), best/worst channel, live risks, top recommendations, budget upside and a single next step. Composes the deterministic sub-tools — consistent with marketing_audit / scenario_planner. Decision support on your own numbers, not a guarantee. OPTIONAL: set `useTenantData:true` to fold REAL tenant figures (spend/revenue/conversions/blended CPA/ROAS from the funnel+kpis blob in KV) into the executive summary (mode=kv only; strictly opt-in — absent/mock ⇒ unchanged behavior). |
| nectarin-intelligence-worker__creative_fatigue | [NECTARIN Intelligence] Creative burnout detector. From each creative's daily CTR series (ctr[] in %, or impressions[]+clicks[]), finds peak CTR, decline from peak, the recent least-squares trend, a 0–100 fatigue score + stage (fresh/maturing/fatigued/burnt), and — when CTR is still falling — the estimated days until it crosses the refresh threshold (default 70% of peak). Ranks creatives worst-first and recommends which to refresh now / prepare to refresh / monitor. Deterministic, on YOUR performance series — decision support, not a guarantee. |
| nectarin-intelligence-worker__creative_rotation | [NECTARIN Intelligence] Creative rotation optimizer (portfolio allocation against fatigue). From a set of creatives — each with a performance metric (CTR% or CVR%) and the impressions already served — it applies an exponential fatigue decay (effectiveness halves every `halfLifeImpressions`), then water-fills the next period's impressions to the creatives with the highest fatigue-adjusted value, capped per creative (default 40%) to preserve rotation/variety. Returns the recommended impression share per creative, decay multiplier, status (scale / maintain / retire), the projected aggregate performance uplift vs. an even rotation, and how many fresh creatives to produce. Complements creative_fatigue (single-creative time-series). Deterministic — decision support, not a guarantee. |
| nectarin-intelligence-worker__influencer_planner | [NECTARIN Intelligence] Influencer / KOL roster evaluator & mix optimizer for Маркетинг влияния. For each blogger (followers, price, optional avgViews, ER%, audienceMatch%) computes reach (avgViews, or followers×reachRate), CPM, CPV, CPE, estimated target reach & conversions, eCPA and a value score; FLAGS suspicious engagement (likely inflated/bot or dead audience vs. typical band for the follower tier). When a budget is given, greedily selects the best mix (by eCPA for conversions or CPM for reach) and reports blended reach/conversions/CPA/CPM. Deterministic, on YOUR roster + assumptions — decision support, validate with a test placement. |
| nectarin-intelligence-worker__reach_frequency | [NECTARIN Intelligence] Reach & frequency planner for OLV (online video) and display. From a budget + CPM (or impressions directly) and the target audience universe, computes gross impressions, GRPs, NET reach (people & %), average frequency among reached, the full contact distribution, and EFFECTIVE reach at ≥N exposures using a Poisson exposure model. With an optional frequencyCap it estimates impressions wasted above the cap and the potential reach gain from reallocating them, plus cost-per-reached-person and an under-/over-frequency verdict. Deterministic media math on YOUR plan inputs — a planning estimate, not a guarantee. |
| nectarin-intelligence-worker__channel_overlap | [NECTARIN Intelligence] Omnichannel deduplicated reach estimator. Given a shared audience universe and ≥2 channels' individual reach (reachPct of universe, or reachPeople), computes the combined NET deduplicated reach under the independence (Sainsbury) model, the gross summed reach, the duplication/overlap (people & %), and each channel's incremental UNIQUE reach (leave-one-out) — i.e. how much net reach it adds on top of the others. Flags the most additive and most duplicated channels. Deterministic planning estimate (assumes random duplication) — pair with reach_frequency for single-channel R&F. |
| nectarin-intelligence-worker__media_flowchart | [NECTARIN Intelligence] Media flighting / flowchart planner. Distributes a total budget across N weeks by a flighting pattern (even / front_loaded / back_loaded / burst / pulse), returning the per-week budget, share and cumulative spend, plus a per-channel split each week when channel shares are given. Reports the peak week and on-air weeks. Deterministic scheduling math on YOUR plan — a planning artifact, not a guarantee. |
| nectarin-intelligence-worker__media_quality_score | [NECTARIN Intelligence] Media delivery quality scorer. From a placement's OWN delivered metrics (viewability %, invalid/bot traffic %, video completion %, brand-safe %, in-geo/on-target %), computes a weighted 0–100 quality score and an A–F grade, scores each metric vs. RU market thresholds (MRC-style), flags problems (low viewability, high IVT, weak completion/brand-safety), and gives a verdict + the biggest lever. Complements supplier_quality (which is a benchmark lookup) — this scores YOUR actual delivery. Deterministic, decision support, not a guarantee. |
| nectarin-intelligence-worker__audience_overlap | [NECTARIN Intelligence] Audience overlap / deduplication analyzer from MEASURED pairwise overlaps (e.g. from a DMP, panel or cross-device graph) — unlike channel_overlap, which assumes statistical independence. Given segment sizes (reach % or absolute users) and the measured pairwise overlaps, it computes the deduplicated total reach (inclusion–exclusion), the duplication rate (wasted double-counting), each segment's incremental (leave-one-out) unique contribution and redundancy, a duplication matrix, and which segment is most additive vs. most redundant — to cap frequency or reallocate budget. Exact for 2 segments; a clamped 2nd-order estimate for ≥3 (no triple-intersection data). Deterministic. |
| nectarin-intelligence-worker__frequency_cap_optimizer | [NECTARIN Intelligence] Frequency-cap optimizer for OLV / display. From a fixed impression pool (impressions, or budget + CPM) and the target audience universe, it (A) DIAGNOSES how many impressions land on people already past each candidate cap at the natural average frequency (wasted over-cap impressions, Poisson model), and (B) OPTIMIZES: for each cap it re-solves the per-person delivery so the freed impressions are reallocated, returning the resulting NET (1+) reach, EFFECTIVE reach at ≥N exposures, average frequency and the reach uplift vs. no cap. Recommends the cap that maximises ≥N effective reach. Deterministic media math on YOUR plan inputs — a planning estimate, not a guarantee. |
| nectarin-intelligence-worker__brand_lift | [NECTARIN Intelligence] Brand-lift study calculator for Брендинг. MEASURE mode: from a control vs. exposed survey cell (n + positive answers for a brand metric — ad recall / awareness / consideration / intent) computes both rates, the absolute (pp) and relative lift, a pooled two-proportion z-test (z, two-tailed p-value, significance at α) and a confidence interval for the absolute lift. DESIGN mode: from a base rate + target lift (absolute pp or relative %), α and power, returns the required sample size PER CELL and total. Auto-detects mode from inputs. Deterministic survey statistics on YOUR numbers — decision support, not a guarantee. |
| nectarin-intelligence-worker__sov_tracker | [NECTARIN Intelligence] Share of Voice tracker with ESOV → market-share growth prediction (Binet & Field rule). From the brand's spend + competitors' spends (or a given totalMarketSpend / sovPct) and the brand's current market share (SOM), computes Share of Voice (SOV), Excess Share of Voice (ESOV = SOV − SOM, pp) and the predicted annual market-share growth (~0.5pp per 10pp ESOV by default). Also solves the SOV required to hit a target share growth. Deterministic brand-growth heuristic on YOUR numbers — directional, not a guarantee. |
| nectarin-intelligence-worker__share_of_search | [NECTARIN Intelligence] Share of Search tracker — branded search demand as a LEADING indicator of market share (Les Binet). From the brand's branded-search volume + competitors' volumes (or a totalCategoryVolume, or sosPct directly), computes Share of Search (SoS %), the brand's rank, and — given the current market share (SOM) — the SoS↔share GAP (SoS above share ⇒ likely to gain; below ⇒ at risk). Optionally takes a previous SoS to report the trend, and projects next-period market share as the share partially converging toward SoS. Deterministic demand-sensing heuristic on YOUR numbers — directional, not a guarantee, and distinct from sov_tracker (which tracks share of media SPEND). |
| nectarin-intelligence-worker__production_estimator | [NECTARIN Intelligence] Creative production budget & timeline estimator for Производство. From a list of deliverables (asset type × quantity × complexity) and a quality tier (economy/standard/premium), applies an illustrative RU rate card to give a per-deliverable cost & effort breakdown, a subtotal, contingency and optional rush surcharge, a total cost RANGE (±20%), and a critical-path timeline estimate (production is partly parallel). Asset types: video, video_cutdown, static, key_visual, animated_banner, social_post, photo, landing, audio. Heuristic & deterministic — a planning ballpark, confirm with real vendor quotes. |