StackSwap

Search StackSwap's catalog of ~400 GTM tools by name. Returns each match with its catalogued monthly cost and, when applicable, a StackSwap partner sign-up link.

Full StackSwap profile for a single tool: cost (catalog + per-seat with confidence; vendor fact sheet wins when fresh), AI-readiness score, category, common overlaps, swap-registry status, and partner sign-up link. Use when the user wants depth on one tool (more than search_tools' name + cost).

Return the full vendor fact sheet (per GTM Decision Schema v1.0.0) for a tool, when one exists. Includes pricing tiers with gotchas, integration depth scores, AI capabilities + customer-data-for-training disclosure, affiliate program terms, and self-disclosed conflicts (vendor-claim vs user-reported

Given a list of tool names in a user's stack, return the redundant pairs StackSwap has curated (104 hand-verified overlaps) along with monthly/annual savings if one is consolidated.

For each tool supplied, return StackSwap's AI-native replacement recommendation (when one exists) with annual savings and reasoning. Skews toward legacy → modern swaps (Outreach → Smartlead, ZoomInfo → Apollo, etc.).

Run a preview StackScan: pass a list of tools + team size + industry, get back current spend, optimized spend, monthly/annual recoverable, headless gaps (tools with no MCP/API connection an owned head can call), and the top 5 replace/remove opportunities. Includes a link to the full paid audit on st

Given a need (e.g. 'outbound', 'CRM', 'automation'), return StackSwap's recommended affiliate partner(s) with sign-up URL and positioning.

StackSwap's reference starter stack for a given industry vertical. Returns a curated tool list with per-tool cost, total monthly/annual spend, AI-readiness and headless-readiness scores, and partner sign-up links. Use for greenfield 'what stack should I buy?' queries — distinct from scan_stack (audi

Head-to-head comparison of two GTM tools. Returns cost delta, AI-readiness and headless-readiness (MCP/API callability — can an agent or your own dashboard drive it) scores, overlap status, swap-registry signal, and StackSwap's recommended pick with reasoning. Use when the user is choosing between t

Side-by-side comparison of 2–6 GTM tools in one shot. Returns a markdown matrix (cost, AI-readiness, headless-readiness, overlaps within the set, swap-registry status, StackSwap pick) and per-tool partner sign-up links. Use for category bake-offs (e.g. 'Apollo vs ZoomInfo vs Cognism vs Clay'). Prefe

Full-text search across StackSwap's first-party GTM knowledge base — ~50 operator-narrative articles on stack architecture, AI-native swaps, RevOps, data ethics, and decision frameworks. Returns ranked articles with title, slug, category, summary, and URL. Use when the user asks a GTM strategy/archi

Fetch the full body of a StackSwap knowledge base article as markdown. Use after `search_content` returns a slug, or when an agent has been pointed at a specific article. Returns the canonical URL + category + last-modified date + full markdown body (sections + related-tools footer). Articles are au

Full map of one GTM category — leaders, runner-ups, and skip/replace candidates. Returns every catalogued tool in the bucket with cost, AI-readiness, swap-registry status, and partner sign-up links. Use when the user wants to see the full landscape for a category (e.g. 'show me all CRMs', 'what outb

Infer a GTM stack from a freeform text blob (a careers page, job posting, public site HTML, RFP, 'What we use' doc, browser DevTools network tab, etc.). Returns ranked tool matches with confidence levels (high/medium/low) and evidence snippets, plus a ready-to-use array for chaining into `scan_stack

Return 10-20 questions a B2B GTM buyer should ask a vendor before signing — with 'why it matters' and 'watch for' red-flag answers. Pass `vendor` for vendor-specific gotchas (e.g. Apollo credit-pool questions, Salesforce SKU-breakdown questions, Gong/Clari/Chorus per-seat-vs-usage questions), `categ

Return StackSwap's renewal-negotiation playbook for a specific vendor: leverage points (why they will discount), price-anchor alternatives to cite, a calibrated discount ask, a walkaway script, optimal timing window, and contract-trap callouts. Pass `monthlySpend` to compute target savings. Optional

Return StackSwap's operator-authored read on a RevOps metric: the healthy range, how to actually read the number (the nuance behind the band), the mistakes that make it lie, and what a genuinely bad reading looks like. Covers pipeline coverage ratio, win rate by source/signal, SQL-to-close conversio

Return a repeatable StackSwap RevOps motion as a step-by-step playbook: the problem it solves, ordered steps, pitfalls to watch, and the artifact you end with. Covers measuring GTM tool ROI (4-week controlled pilot -> payback period), building a win-rate-by-signal analysis (which signals predict win

Compute pipeline coverage from the user's own numbers and judge it against StackSwap's 2.5x-4x weighted band. Pass `quota` plus either `openPipeline` (a single total -> raw coverage only) or `stages` (an array of {amount, winRate} -> stage-WEIGHTED coverage, the number that actually matters). Return

Compute CAC payback period (months) on gross profit from the user's own numbers and judge it against StackSwap's bands (<12 months SMB/PLG, 18-24 months defensible enterprise). Pass `cac` OR (`salesAndMarketingSpend` + `newCustomers`); plus `monthlyRevenuePerCustomer` OR `annualRevenuePerCustomer`;

Compute net revenue retention (NRR) and gross revenue retention (GRR) from the user's own cohort numbers, and judge against StackSwap's bands (100% floor, 110-120%+ healthy). Pass `startingARR` plus `expansionARR`, `contractionARR`, `churnedARR` (any of the three optional, default 0). Returns NRR, G

Rank a set of OPEN DEALS the user brings (from their CRM, a CSV, a warehouse query) by expected value (amount x win%) with a velocity penalty for stalled deals, and bucket them into Work now / Soon / Watch with reasons and risk flags (past close date, no next step, stalled in stage). Accepts loosely

Rank the user's existing ACCOUNTS by renewal risk x ARR (dollars at risk), so the team works the saves that matter. Risk blends customer health, engagement recency (days since last activity), and seat adoption (seatsUsed/seats); exposure = ARR x risk score. Accepts loosely-typed account records — al

Score and rank the user's OWN accounts by StackSignal-style fit: a 0-100 composite blending ICP Match (firmographic fit to a supplied ICP), Intent (engagement/pipeline signals on the account), and an optional Stack Fit layer. Pass `config.icp` (segments / industries / minArr) to drive ICP Match — wi

Rank the user's existing ACCOUNTS by expansion (upsell + cross-sell) opportunity, returning the specific lever and a modeled dollar value per account. Propensity blends customer health, seat utilization (high utilization = needs more seats), and product whitespace (missing catalog products). Pass `c

Map product whitespace across the user's existing ACCOUNTS against a product catalog: for each account, which catalogue products are unsold, the penetration %, and a whitespace score weighted by account quality (ARR + health). Returns the portfolio-level penetration plus accounts ranked by unsold-su

Build a weighted sales forecast from the user's OPEN DEALS, bucketed into Commit (>=80% win), Best case (50-79%), Pipeline (20-49%), and Longshot (<20%). Returns raw + weighted (amount x win%) totals per band, the overall weighted forecast, a vs-quota gap (if `quota` is passed), and slipping-deal fl

Analyze the user's CLOSED deals (won + lost) to surface which attributes actually predict wins. Computes win rate per attribute value WITH sample size, and ranks attributes by the spread between their best- and worst-converting values — the data version of the win-rate-by-signal motion. By default c

Break the user's ACCOUNTS into segments and show where revenue concentrates and where it grows vs leaks. Groups by `groupBy` (default 'segment'; any field works — industry, owner, tier) and reports per-group account count, total ARR, share of ARR, and average ARR. If accounts carry cohort-retention

Measure revenue concentration across the user's ACCOUNTS: top-1 / top-5 / top-10 ARR share, a Herfindahl (HHI) concentration index, whale dependency, and at-risk ARR (low-health accounts' share). Returns the metrics, the largest accounts, and plain-English risk callouts (e.g. 'top 5 = 48% of ARR', '

Audit the user's OPEN DEALS for data hygiene and return a cleanliness score (0-100) plus the dirty deals ranked by impact (value x severity). Flags: past close date, missing close date, no next step, stalled in stage (beyond `config.staleDaysThreshold`, default 45), missing amount or stage, and win%

Submit a correction to the StackSwap catalog (pricing, feature list, gotcha, AI-readiness score, category, or other). Submissions queue for admin review and only propagate to user-facing surfaces after merge — they DO NOT immediately mutate the catalog. Use when the user notices a stale price, an in