StackSwap — B2B GTM stack intelligence (hosted, Streamable HTTP, 17 tools)

Identify available connected systems and the read-only evidence StackSwap needs. The server cannot introspect neighboring MCPs automatically.

Return a safe, read-only connection or export request for a named system when an audit lacks evidence.

Start an adaptive GTM architecture audit and return the smallest discovery questionnaire needed before KEEP, SWAP, or BUILD recommendations.

Turn user answers and connected-system evidence into explainable KEEP, SWAP, and BUILD recommendations with confidence, alternatives, and next prompts.

Generate a case-specific GTM data-layer blueprint when systems mirror state, drift, or lack explicit ownership.

Generate a copy-ready one-shot build or migration prompt from a StackSwap KEEP, SWAP, or BUILD recommendation.

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…

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-train…

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 …

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…

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 s…

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-regis…

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 par…

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 ranke…

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 + c…

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. U…

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 lev…

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 q…

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, optima…

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 afte…

Turn a fuzzy product story into a sharp market frame, message hierarchy, and proof plan.

Create the category frame and narrative that makes a new or crowded market legible.

Build an SDR-runnable ICP with tiers, disqualifiers, signals, personas, and a scoring rubric.

Size the market with explicit definitions, assumptions, and a reachable wedge.

Choose sales-led, PLG, hybrid, channel, or community motion against actual economics.

Build a signal-aware five-touch sequence with deliverability, copy logic, tests, and reply handling.

Turn job changes, funding, hiring, and stack signals into prioritized outreach plays.

Build a safe connection-to-conversation motion that complements email.

Define qualification, routing, SLAs, disqualification, and the feedback loop between marketing and sales.

Run discovery that separates real deals from polite interest using operator-grade questions.

Build a discovery-driven demo around one buyer use case instead of a feature tour.

Map the buying committee and build internal advocacy before a single-threaded deal stalls.

Engineer the path to signature with a mutual action plan and disciplined concessions.

Build the conservative economic case a champion can take to the budget owner.

Design pricing that captures value, anchors correctly, and creates expansion.

Compute the metrics that actually steer a revenue motion and identify the levers behind them.

Create a forecast process that surfaces slip before it kills the quarter.

Reconcile company targets with ramped capacity, coverage, territories, and hiring timing.

Design onboarding around the activation moment that predicts retention.

Catch churn early with health signals, risk tiers, save plays, and renewal timing.

Build land-and-expand around whitespace, signals, ownership, and customer value.

Run account reviews that prove value, de-risk renewal, and surface expansion.

Turn one operator insight into a sharp post, optional carousel, and repurpose chain.

Rewrite commercial content so AI search systems can understand, cite, and retrieve it.

Build useful programmatic pages without creating index bloat or thin content.

Find and answer relevant threads with an operator voice that earns qualified attention.

Decide when and how to hand founder-led sales to the first rep without breaking the motion.

Hire GTM reps against outcomes and observable behaviors instead of charisma.

Create a measurable ramp with certification gates, coaching, and early-warning signals.

Design compensation that drives the behavior and economics the motion needs.

Install a usable sales process with exit criteria, ownership, and inspection.

Audit cost, redundancy, switching risk, and AI readiness across the whole stack.

Choose the right tool—or decide to build, wait, or buy nothing yet.

Grade whether a tool can actually be driven by an agent or is only AI-washed.

Ask the questions vendors avoid about lock-in, implementation, AI claims, and viability.

Turn renewal timing into leverage with anchors, BATNA, and a concession map.

Execute a stack reduction without breaking data, integrations, or the GTM motion.

Map where AI should own judgment, where humans stay in control, and where systems remain rails.

Turn a GTM hypothesis into a measured experiment with kill criteria and a decision date.

Design a lean GTM control center around owned orchestration and rented infrastructure rails.

Assemble the smallest useful AI toolkit for a stage, motion, and team constraint.

Turn a company website, filings, hiring, and public signals into a fact-checked account brief.

Prepare for a first meeting with relevant business context, hypotheses, questions, and a clear win condition.

Convert notes or a transcript into a specific follow-up that earns the next meeting.

Grade a sales call against a defined rubric and turn the findings into the next practice reps need.

Practice discovery with an adaptive buyer persona that reveals information only when earned.

Diagnose the real concern behind an objection and build a credible response without arguing.

Turn discovery evidence into a buyer-specific proposal that makes the decision easy to defend.

Answer an RFP with traceable evidence, clear gaps, and a response strategy that avoids overpromising.

Back-schedule a complex deal from the buyer's decision date to signed agreement.

Inspect an opportunity for evidence of a real, winnable deal before forecast time.

Extract decision patterns from closed-won and closed-lost evidence without turning anecdotes into conclusions.

Build a useful battlecard around buyer decisions, proof, traps, and honest disqualification.

Translate a target role into jobs, metrics, fears, triggers, language, and buying influence.

Design interviews that uncover switching moments, desired progress, and purchase criteria.

Cluster interviews, calls, reviews, and tickets into language the market actually uses.

Compare positioning options against buyer clarity, relevance, differentiation, and proof.

Choose how to enter a crowded category without copying incumbent language.

Turn a product launch into a sequenced plan across audience, message, channel, enablement, and measurement.

Build a focused first-quarter plan from stage, motion, constraints, and measurable outcomes.

Translate company goals into a sequenced GTM operating plan with explicit assumptions.

Define a campaign around a buyer problem, proof, distribution path, and measurable action.

Choose the smallest set of demand programs that can create learning and pipeline for the current stage.

Design a useful nurture motion that earns a next action instead of filling inboxes.

Define a prioritized account list using fit, trigger, access, and evidence quality.

Find one relevant reason to reach out and reject weak personalization before writing.

Create a concise, permission-based opener rooted in a real problem and plausible relevance.

Build a low-pressure LinkedIn conversation around relevance and timing, not automation.

Assess whether partners can create distribution and design a testable partner motion.

Turn a messy pipeline export into clear next actions, stale-deal rules, and required fields.

Design the minimum CRM fields and definitions needed to operate the motion reliably.

Plan a CRM migration around data truth, workflow continuity, and rollback.

Diagnose a revenue-system failure by separating symptoms, data issues, process gaps, and ownership.

Design routing that matches speed, fit, ownership, and capacity without creating lead leakage.

Allocate accounts and capacity against opportunity, coverage, fairness, and motion fit.

Model ramped capacity, conversion, coverage, hiring timing, and target attainment.

Turn a rep's current reality into a focused coaching conversation and specific commitments.

Build a targeted improvement plan from observed behaviors, not personality judgments.

Evaluate GTM candidates on evidence of doing the job rather than confidence in an interview.

Decide whether the next hire should be sales, marketing, RevOps, or no hire yet.

Write an onboarding sequence that drives the first value milestone and clarifies ownership.

Design a health model that is explainable, actionable, and calibrated to renewal risk.

Inspect an account before renewal for value, relationship, usage, commercial, and competitive risk.

Find credible expansion paths from customer outcomes, whitespace, and stakeholder change.

Convert feedback into a prioritized product and GTM learning loop.

Create a content brief that answers a specific buyer question and earns a next action.

Run a customer interview that captures before, change, proof, and credible outcomes.

Turn one source artifact into useful channel-native distribution without repeating yourself.

Diagnose whether a page makes the buyer's decision easier and recommends prioritized changes.

Structure a landing page around a specific audience, decision, proof, and conversion path.

Evaluate pricing-page clarity, packaging logic, trust, friction, and buyer next steps.

Decide whether product usage can create a responsible sales signal and design the handoff.

Define the handoff agreement that protects speed, quality, ownership, and feedback.

Run a forecast meeting that tests evidence and changes decisions rather than collecting updates.

Turn GTM activity and results into a board update about learning, risk, and capital allocation.

Specify the smallest dashboard that answers the decisions the team actually makes.

Rank experiments by learning value, expected impact, effort, and reversibility.

Assess an AI-assisted GTM workflow for hallucination, privacy, approval, and failure risks.

Turn a recurring GTM job into a reusable, tested, versioned prompt with examples and quality gates.

Replace recurring status meetings with a decision-oriented agenda, evidence review, and action log.