com.frontdeskreview/front-desk-review-data

The Front Desk Review

4,764 products, 626 categories: sourced prices, dated price history, independent-test coverage.

Endpointhttps://mcp.frontdeskreview.com/mcp (streamable-http)
Registry version1.2.0
Now19 tools · grade C (66) · pin ts_b05cfd5f0cb58001454239fea05646b4 · protocol 2025-06-18
First / last listed2026-11-12 01:19 UTC / 2026-11-12 01:19 UTC
Grade over time2026-11-12: C (66), 19 tools

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Timeline

First listing · 2026-11-12 01:19 UTC
19 tools, grade C (66)

Tools: list_sections search_vendors compare get_normalized_pricing get_benchmark find_best list_coverage whats_changed get_price_history get_independent_test_coverage price_movers volatility_for_entity most_volatile_in_category list_product_categories search_products compare_products find_products list_cost_decoders get_cost_decoder

Current tools (19)

list_sectionsEnumerate ALL 275 pricing themes this index covers: the deep hub sections (e.g. ai-receptionists, call-tracking) plus dozens of catalog topics (e.g. vpn-services, web-hosting, password-managers, crm-software). Each entry carries its slug, display label, vertical, tagline, vendor count and kind ('section' or 'catalog'). Pass any of these slugs as the `section` arg to the other tools to query that t
params: none
search_vendorsSearch any theme's data index by free-text query across vendor name, domain, integrations, plan notes, and capabilities (e.g. 'hipaa restaurant', 'google ads zapier'). Works for every theme — hub sections and catalog topics alike (set `section` to the theme slug from list_sections). Returns full provenanced vendor records (each plan carries source url + accessedAt, and each priced plan a `citation
params: query, section
compareCompare specific vendors side by side by slug within any theme (e.g. ['goodcall','rosie','smith-ai'] in ai-receptionists, or ['nordvpn','expressvpn'] in vpn-services). Set `section` to the theme slug from list_sections. Returns full provenanced records plus a notFound list for unknown slugs. Each priced plan carries a `citation`: figure, plan, source page, read date and record URL in one line.
params: slugs*, section
get_normalized_pricingEffective monthly cost per vendor in any theme at a chosen call volume, normalizing flat, per-minute and per-call billing to one comparable number. For non-telephony catalog themes (per-seat / flat plans with no call quota) this returns each plan's base monthly price — the meaningful figure there. Cheapest priceable plan per vendor; quote-only or unpriceable-at-volume vendors return null (never a
params: callsPerMonth*, avgCallMinutes, section
get_benchmarkPer-vendor benchmark card by slug within any theme: full provenanced record plus dataset-derived indicators (entry price, normalized cost at 100 and 500 calls/mo where call-volume applies, billing models, free-tier presence, compliance, integration breadth). Set `section` to the theme slug from list_sections. All values trace to plan sources; no synthetic scores. Each priced plan carries a `citati
params: slug*, section
find_bestFor 'best <theme> for <use case>' and 'cheapest <theme>': returns the theme's vendors ranked by entry price (cheapest first, quote-only last), each with its verified compliance facts (HIPAA/SOC 2/GDPR), free-tier flag, best-for tags, the entry plan's source and its `citation` (figure, plan, source page, read date and record URL in one line). Conjunctive fact filters narrow it to what this index ha
params: section, requireHipaa, requireSoc2, requireGdpr, requireFreeTier
list_coverageWhat this index actually covers, so a miss reads as out-of-scope rather than broken. Now spans 275 pricing themes — the deep hub sections PLUS dozens of catalog topics (VPNs, web hosting, password managers, CRM, e-commerce, AI tools, and more): total theme count, the section/catalog split, total vendors, per-theme vendor counts and kind, the data's date range (min/max source accessedAt), the quest
params: none
whats_changedRecent dated price-change capsules, newest first. Each capsule is a movement of a vendor's published price (vendor, plan, before→after, date, sources), cleared against two witnesses on two different hosts: the page the figure was read from, plus either an independent second source or a dated archive capture of that same page — and when the archive is the only second witness, that first page must b
params: since, section
get_price_historyThe full dated price series for ONE product or vendor (by slug), plus derived stats: first-tracked date, current/low/high, number of recorded changes, net %, the largest single move, and the last change. A change is counted only between two consecutive price-scan readings of the same site; low, high and net % are measured over those readings, since comparableSince where a correction of ours or a c
params: slug*, kind
get_independent_test_coverageThe independent-testing provenance for ONE product (by category + slug) — a COUNT of evidence, never a quality score. Fields: outlets (independent outlets on record), labs (how many physically tested it and left >=1 measured value), metrics (distinct kinds of metric measured, with names), mentioned (outlets that only mentioned it), and `reading`, the same counts in words. A low count means little
params: category*, slug*
price_moversRecorded price MOVES across the index within a recency window (default 90 days), newest-and-largest first — each a dated before→after change of a tracked entity. Optionally filter by kind ('hw'/'sw') or category/theme slug. Returns an empty list with a clear note when nothing moved in the window (a quiet window is honestly quiet).
params: kind, category, withinDays, limit
volatility_for_entityHow volatile ONE product or vendor's price has been: a 0-100 volatility score derived from its recorded moves (frequency × average move size), plus change count, net % and last change. Honest gate: below a minimum recorded-change threshold it returns sufficient:false with a note, never a score invented from a single point.
params: slug*, kind
most_volatile_in_categoryWithin one category/theme, the entities whose prices have moved the most (ranked by volatility score), plus the category price baseline (count, median current, low/high). Entities without enough recorded movement are omitted from the ranking but counted in the baseline. Answers 'which X changes price most' for a market.
params: category*, kind, limit
list_product_categoriesEnumerate the spec-driven PRODUCT categories this index covers (physical goods like smartphones, laptops, GPUs — distinct from the software/subscription pricing themes). Each entry carries its slug, product count, the comparable spec keys, and the brands present. Pass a category slug to search_products / compare_products / find_products.
params: none
search_productsSearch one product category by free-text query across product name, brand, and spec values (e.g. 'snapdragon 5000mah', 'oled 120hz'). Set `category` to a slug from list_product_categories. Returns full provenanced product records: each price is the price of record its product page prints, with that page's date (priceDate) and citation (priceCite); specs carry source url + accessedAt. Empty query r
params: category*, query
compare_productsCompare specific products side by side by slug within a category (e.g. ['apple-iphone-16-pro','samsung-galaxy-s25-ultra'] in 'smartphones'). Returns full provenanced spec records plus a notFound list and the category's comparable specKeys, so an agent can line up the same attributes across products.
params: category*, slugs*
find_productsFor 'best <category> under $N' and 'which <category> has the most <spec>': filters a category by maxPriceUsd and/or brand, then ranks by a field — 'priceUsd' (the price of record each product's page prints; default, cheapest first), 'releaseDate', or any of the category's spec keys (descending:true ranks biggest first, e.g. sortBy:'battery_mah' descending:true). Returns provenanced product records
params: category*, maxPriceUsd, brand, sortBy, descending
list_cost_decodersList the 'real cost' decoders — topics where the advertised sticker price hides the true bill (e.g. AI customer support billed per resolution, where a $29/mo seat price becomes hundreds/mo at volume). Each entry carries the question it answers, the scenarios it computes, the vendor count and the data's as-of date. Pass a topic slug to get_cost_decoder.
params: none
get_cost_decoderThe REAL all-in monthly cost per vendor for a decoder topic (slug from list_cost_decoders, e.g. 'ai-customer-support-cost'), computed in deterministic code from sourced, dated inputs — each vendor's per-seat price + AI billing model + per-unit price, totalled at named scenarios (e.g. 5 agents at 1,000 and 5,000 AI resolutions/mo) with the arithmetic shown. Quote-only inputs return a null total, ne
params: topic*, agents, resolutions

Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.