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.
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение
Что умеет
- 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
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
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.
Как подключить
Как подключить Unyly Gateway к Claude
Адрес сервера, который нужно вставить в настройках Claude:
https://gateway--unyly.run.tools
- Откройте Claude (сайт claude.ai или приложение для компьютера).
- Перейдите в Настройки → Коннекторы (в английском интерфейсе: Settings → Connectors).
- Нажмите Добавить пользовательский коннектор (Add custom connector).
- Вставьте адрес сервера, скопированный ниже, в поле URL удалённого MCP-сервера и нажмите Добавить.
- В чате нажмите + → Коннекторы и включите новый коннектор.
Пользовательские коннекторы доступны на тарифах Free, Pro, Max, Team и Enterprise. На Free можно добавить только один. В Team и Enterprise коннектор сначала добавляет владелец организации в Настройки организации → Коннекторы.
Авторизация
После нажатия Добавить откроется окно входа в сервис. Войдите под своим аккаунтом и подтвердите доступ. Пароль Claude не видит.
Как подключить Unyly Gateway к ChatGPT
Адрес сервера, который нужно вставить в настройках ChatGPT:
https://gateway--unyly.run.tools
- Откройте ChatGPT в браузере (chatgpt.com). Нужен тариф Plus, Pro, Business, Enterprise или Edu.
- Один раз включите режим разработчика: Настройки → Приложения → Дополнительные настройки → Режим разработчика (Settings → Apps → Advanced settings → Developer mode).
- Откройте Настройки → Коннекторы и нажмите Создать (Create).
- Заполните форму: Название (любое), Описание (одна фраза, что делает сервис), URL MCP-сервера (скопируйте ниже).
- В поле Аутентификация выберите OAuth, если сервис требует вход, иначе Нет. Нажмите Создать.
- В новом чате откройте + → Приложения/Коннекторы и включите коннектор.
Название раздела у OpenAI менялось (Connectors → Apps/Plugins). Если пункт называется иначе, ищите «режим разработчика» в настройках. В рабочих пространствах Business/Enterprise администратор должен разрешить пользовательские коннекторы.
Авторизация
При первом использовании ChatGPT откроет окно входа в сервис. Войдите и подтвердите доступ.
Как подключить Unyly Gateway к Cursor
Адрес сервера, который нужно вставить в настройках Cursor:
https://gateway--unyly.run.tools
Быстрый способ: нажмите кнопку Открыть в Cursor ниже, Cursor сам предложит добавить сервер.
Вручную:
- В Cursor откройте Settings → Cursor Settings → MCP и нажмите Add new global MCP server.
- Вставьте JSON, скопированный ниже, в открывшийся файл
~/.cursor/mcp.json(для одного проекта:.cursor/mcp.jsonв корне проекта). - Сохраните файл. Сервер появится в списке MCP; при необходимости пройдите авторизацию по кнопке рядом с ним.
Авторизация
Если сервис требует вход, рядом с сервером в списке MCP появится кнопка авторизации.
Список инструментов сервера (60)
Технические названия из tools/list. Нужны только разработчикам.
| 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. |