AIBuilder Marketplace: software pricing dossiers

com.aibuildermarketplace/software-pricing · v1.0.0 · productivity

AIBuilder Marketplace: software pricing dossiers is healthy: it completed an MCP handshake in 2882 ms and exposes 15 tools.

Dated plan prices, cost traps with evidence and hands-on results for 540 business-software tools.

Endpoint: https://api.aibuildermarketplace.com/mcp (streamable-http)

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Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count15
Latency2882 ms
Last checked (UTC)2026-10-15T19:00:11.813Z

Health history

Checked (UTC)StatusLatencyError
2026-10-15T19:00:11.813ZHealthy2882
2026-10-14T17:55:51.572ZHealthy2956

Tools (15)

search_productsFind software products by task or name, with optional filters. Returns compact rows (id, entry price, cost-trap ids, pricing date). Ranking is text relevance only, never commission.
get_productThe full record for one product: plans, every cost trap with its full evidence sentence, pricing date, unknowns, price rules if any, and the vendor handoff with affiliate disclosure.
compare_productsCompare 2 to 6 products side by side. Every requested id is returned, found or not. With units, adds the cheapest fitting plan's cost where price rules exist.
get_evidenceThe evidence behind a product's cost traps and free-plan flag: the exact sentences from our pricing notes, the date they were read and the source.
estimate_costCost of each plan at a team size (or companies/orders, per the product's axis) on monthly or annual billing: monthly equivalent, amount billed per period, commitment, minimums, add-ons and usage. Only for products with price rules; says so otherwise. Never guesses between published price steps: retu
cost_at_growthCost as a team grows: the cheapest fitting plan at each size and the points where the best plan changes.
check_choiceCheck a software choice against requirements before buying. requirements (all optional): units, billing ('monthly'|'annual'), plan_id, budget_month {amount, currency}, needs_monthly_billing, max_commitment_months, needs_free_plan, avoid_cost_traps [quote_only, per_seat, usage_metered, renewal_jump,
get_task_evidenceWhat we observed when we ran products ourselves. Search by task words, product id or result (passed_in_this_test, partial_in_this_test, failed_in_this_test, not_tested, not_available_on_tested_plan, observation). Each result applies to the product as it was on run_date, on the plan stated; a later v
build_purchase_dossierBuild a purchase file for 1 to 6 candidate products against the same requirements (same fields as check_choice). Returns per candidate the check with evidence, the cheapest fitting plan's cost where computable, our hands-on test results, unknowns and the vendor handoff with affiliate disclosure; a f
recheck_dossierRe-check a purchase file built earlier: pass the whole dossier back. Reports which underlying facts changed (entry price, plans, cost traps, price rules, research status, pricing date) and which conclusions that affects. Never buys, cancels or switches anything.
search_offersFind reader offers and vendor offers on our deal pages (discounts, extra credits, longer trials, conditional pilots). Each row has the evidence and its date, the verification status and the deadline in UTC. Expired offers are left out unless include_expired. Ranking is alphabetical, never by discoun
get_offerThe full record of one offer: type, benefit and its structure, eligibility as recorded (null = the vendor did not say), claim steps, code, limits, evidence with dates, deadline, cost after the offer where known, and the vendor handoff with affiliate disclosure. No offer has been tested at a checkout
check_offer_eligibilityCheck whether an offer fits a buyer's situation: {customer: new|existing, plan, billing: monthly|annual|biennial}. Returns matches, does_not_match (with reasons) or needs_confirmation (missing information, an unconfirmed offer, or a pilot granted case by case), plus what the vendor did not state. A
compare_offer_costsCompare 1 to 3 offers on the same billing term and period. prices maps offer_id to the monthly price the buyer would pay for that product without the offer (same currency as the vendor). Returns fit and cost per offer: pay today, cost over the period with and without the offer, saving, or why it can
list_categoriesAll categories with their product counts.