_ registry / mcp http-sse · checked 2h ago

supplymaven

https://www.supplymaven.com

Registry code: aaa460792cac40f6

api record

Real-time supply chain risk intelligence with composite scoring and early warnings

from a public catalogue that lists it, not from the operator

endpoint
https://supplymaven.com/api/mcp
door code
70fe7838cac76266
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is supplymaven live?
Yes — it answered the hub's last check (checked 2h ago). It answered 99% of checks over the last 30 days.
Is supplymaven free to use?
Yes — the hub reached it with no key and no payment.
What tools does supplymaven have?
34 tools: port_congestion_monitor, get_predictive_signals, supply_chain_risk_assessment, manufacturing_output_indicator, commodity_price_monitor, supply_chain_disruption_alerts, get_action_signals, get_border_delays, ….
Is supplymaven safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.3%

90 days 99.5%· all time 99.3%

latency
240ms

last good check

priced tools
0

of 34 tools

_ answered our checks, 90 days 860 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • degraded → live
  • live → degraded· timeout after 20000ms
_ what it is for
used for
  • monitor port congestion
  • get supply chain disruption alerts
  • check freight rate pressure
  • get border crossing delays
  • get a weekly supply chain brief
takes → gives
text → data, text
tools
25 reads
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 34 tools
24 open 10 never probed 24 of 34 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • get_disaster_events reads open 21h ago

    Get active natural disaster events that may impact supply chain operations. Sources: USGS (earthquakes M5.0+), NOAA (storms/hurricanes, US), NHC (tropical cyclones, Atlantic and eastern and central Pacific), GDACS (global earthquakes, tropical cyclones, floods, volcanoes). Returns event type, severity, location, coordinates, and affected country. Events auto-expire based on source TTL. Supports filtering by event type, country, region, and lookback window. Complements get_natural_disaster_alerts with additional filtering options including multi-day lookback and region-based geographic filtering.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_economic_indicators reads open 21h ago

    Get key economic indicators affecting supply chain costs and conditions. Returns Federal Reserve data (industrial production, capacity utilization, manufacturing PMI, housing starts, imports), Producer Price Index by category, Global Supply Chain Pressure Index (GSCPI) from the New York Fed, and EIA Short-Term Energy Outlook forecasts. Used by supply chain strategists, procurement leaders, and economic analysts who need the macro backdrop for supply chain planning.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_freight_rate_observations reads open 18h ago

    Get freight rate index observations extracted from news intelligence. Covers major ocean freight indexes (BDI, SCFI, WCI, CCFI, HARPEX) with direction, magnitude, trade lane, and rate values. Each observation includes confidence score and source URL. Used by logistics planners to track rate trends and identify cost pressure signals.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_corridor_risk reads open 23h ago

    Monitor risk levels across 10 major ocean freight trade corridors (China-US West Coast, China-US East Coast, China-Mexico, Taiwan-US, India-US, China-Europe, Europe-US, Middle East-Europe, Brazil-US). Each corridor chains origin ports, chokepoints, and destination ports into a single lane scored by its weakest link (highest risk waypoint). Scores combine port congestion data with the proximity of active natural disruptions. Used by logistics planners for route risk comparison, procurement teams for supply chain exposure assessment, and freight forwarders for disruption early warning.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_energy_forecast open 18h ago

    Get the US Energy Information Administration's Short-Term Energy Outlook (STEO) — official government forecasts for energy production, consumption, and pricing. Returns both historical actuals and forward-looking projections for crude oil prices, natural gas prices, electricity generation, renewable energy production, and petroleum consumption. The STEO is the most widely referenced energy forecast in the world. Distinguishes actual historical data from projected forecasts using the isActual flag. Used by energy traders, logistics companies budgeting fuel costs, and macro analysts.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_freight_rate_pressure reads open 18h ago

    Returns freight rate pressure scores for major shipping and commodity indices (WCI, SCFI, BDI, CRB). Includes current values, week-over-week changes, z-score vs 52-week baseline, and mapping to trade corridors. WCI (Drewry World Container Index) tracks container rates in USD/FEU. SCFI (Shanghai Containerized Freight Index) tracks export rates from Shanghai. BDI (Baltic Dry Index) tracks dry bulk shipping rates. CRB (CRB Commodity Index) tracks broad commodity pressure. Pressure scoring: 0-35 STABLE, 36-55 ELEVATED, 56-69 VOLATILE, 70-84 SURGING, 85-100 EXTREME.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_natural_disaster_alerts open 11h ago

    Get real-time natural disaster alerts from USGS (earthquakes M5.0+), NOAA (hurricanes, tropical storms), NHC (tropical cyclone centres, Atlantic and eastern and central Pacific), and GDACS (global earthquakes, cyclones, floods, volcanoes). Returns active and recent events with magnitude, severity, coordinates, and affected country. Used by logistics planners and procurement teams to reroute shipments and activate contingency plans around seismic events, hurricanes, and floods affecting supply chain infrastructure.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_air_cargo_disruptions reads open 2h ago

    Get real-time air cargo disruption status at major US and international freight hub airports. Returns FAA ground delays, ground stops, arrival and departure delays with estimated minutes, closure status, disruption score, and traffic collapse detection. Covers major cargo hubs including Memphis (FedEx), Louisville (UPS), Anchorage, Chicago O'Hare, Los Angeles, Miami, New York JFK, and Dallas-Fort Worth. Used by air freight forwarders, express carriers, and logistics planners to reroute time-sensitive shipments around airport disruptions.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_weekly_content_package reads open 2h ago

    Get the weekly 'Signal of the Week' content package — a pre-written, data-verified marketing bundle generated every Monday from live SupplyMaven data. Returns a Substack article (~500 words), LinkedIn post (~200 words), and Twitter/X thread (4-5 tweets), all built from verified supply chain data. Every number in the content traces back to a live data source. Designed for automated content distribution via Claude Desktop + platform MCP servers. The content package includes the signal headline, full data context (GDI, commodities, ports, signals), and platform-specific formatted content ready for publishing.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • get_port_congestion_trends reads open 6h ago

    Get port congestion trend analysis — not just current congestion, but direction and trajectory. Returns how congestion has changed relative to historical baselines, identifies ports where congestion is accelerating, and flags ports approaching critical thresholds. Answers: 'Which ports are getting worse and how fast?' Used by logistics planners to reroute shipments before congestion peaks, and by importers to anticipate lead time extensions.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_rail_freight_status reads open 6h ago

    Get US freight rail performance metrics including average train speed, terminal dwell time, cars on line, trains held per day, railcars not moved within 48 hours, total carloadings, intermodal units, and grain transport rates. Sourced from the Surface Transportation Board railroad service metrics, Association of American Railroads carloading data, and USDA grain transportation reports. When rail slows down, inland supply chains back up within days — this data provides early warning of freight bottlenecks across the US rail network.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • get_supply_chain_weekly_brief reads open 6h ago

    Comprehensive weekly supply chain situation report combining all SupplyMaven data sources into an executive-level brief. Includes GDI score with pillar breakdown and trend, top disruption events with risk scores, commodity price movements, port congestion highlights, and active predictive signals. Designed to answer 'what happened this week in supply chains?' in a single call. Used by executives, procurement leaders, and supply chain managers for weekly risk reviews and stakeholder briefings.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • get_data_center_hub_load open 28h ago

    Grid load for five US data center hub zones, built from EIA-930 hourly demand and delivered as daily or monthly series. Hubs: DOM (Dominion Virginia Power zone, PJM), NCEN (North Central, ERCOT), CE (Commonwealth Edison zone, PJM), PGAE (Pacific Gas and Electric, CAISO), ZONJ (New York City, NYISO). Daily rows: date, average MW, overnight floor MW (the day's minimum hour), zone hours, matched hours, status, and share of the parent grid. Monthly rows: average MW, overnight floor MW, share of parent, trailing 12-month average and overnight floor with their growth on the trailing 12 months a year earlier, and the count of complete days each figure used. Basis: EIA-930 hourly demand; UTC calendar days and months; days with fewer than 20 reported zone hours excluded; revisions not applied to the zone series. Signal tier.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {
        "hub": {
          "type": "string",
          "description": "Hub zone code: DOM, NCEN, CE, PGAE or ZONJ."
        },
        "endDate": {
          "type": "string",
          "description": "Daily: YYYY-MM-DD (default the latest stored day; at most 366 days per request). Monthly: YYYY-MM (default the latest UTC month that has ended)."
        },
        "startDate": {
          "type": "string",
          "description": "Daily: YYYY-MM-DD (default 30 days before endDate). Monthly: YYYY-MM (default 24 months before endDate)."
        },
        "granularity": {
          "type": "string",
          "description": "'daily' or 'monthly'. Default monthly."
        }
      }
    }
    arguments 22 lines
  • get_manufacturing_anomalies reads open 11h ago

    Not available. The SupplyMaven Manufacturing Index is not currently offered; this tool returns a plain not-available response.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_trade_policy_impacts reads open 2h ago

    Get active trade policy actions currently impacting supply chain risk — tariffs, sanctions, export controls, import restrictions, and regulatory changes. Unlike news alerts that expire after 72 hours, policy adjustments persist as long as the policy is in effect and continue to modify GDI risk scores. Each policy includes the affected GDI pillar, effective date, and source event. Used by procurement teams navigating tariff exposure, compliance officers tracking sanctions, and supply chain strategists adapting sourcing to policy shifts.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_customs_friction_baseline reads open 23h ago

    Get customs friction baseline scores by country. Returns a composite 0-100 score combining port congestion and customs/trade policy events. Covers 21 countries across North America, East Asia, Southeast Asia, South Asia, Europe, Middle East, and South America. Higher score = more friction. Optional country parameter for single-country detail with component breakdown and 30-day history. Used by trade compliance teams, procurement managers, and logistics planners to assess customs clearance risk by country.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_customs_trade_events open 23h ago

    Get customs and trade policy events extracted from news intelligence. Covers tariff changes, sanctions, export controls, trade agreements, anti-dumping duties, and regulatory changes. Each event includes affected countries, products, direction (RESTRICTIVE/LIBERALIZING/NEUTRAL/MIXED), US impact assessment, and confidence score. Used by trade compliance teams and procurement managers to track policy risk.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_freight_transportation_index reads open 14h ago

    Get the US freight transportation health index from the Bureau of Transportation Statistics. Returns the Transportation Services Index (TSI) for freight and passenger, truck tonnage, rail carloadings, rail intermodal volume, waterborne freight, inventory-to-sales ratio, and industrial production index. Declining freight volumes are a leading indicator of economic slowdown. Used by logistics companies, freight brokers, and economic analysts tracking US freight demand trends.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • get_gdi_trend_analysis open 14h ago

    Get trend analysis of the Global Disruption Index over time. Returns the current GDI score plus 7-day, 14-day, and 30-day comparisons with direction, velocity of change, and pillar-level momentum. Identifies which pillar is driving changes and whether risk is accelerating or decelerating. Answers: 'Is supply chain risk getting better or worse, how fast, and why?' Used by supply chain executives for weekly status briefings and by traders to time entry/exit decisions around supply chain volatility.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_intelligence_briefs reads open 14h ago

    Get AI-generated intelligence briefs for each supply chain dimension — energy, materials, transportation, macro. Each brief provides a narrative analysis of current conditions, key drivers, emerging risks, and recommended watch items. These are not raw data — they are synthesized analytical summaries generated every hour from live data. Designed for decision-makers who need a quick read on each supply chain dimension. Returns structured briefs suitable for executive dashboards, email digests, or Slack channels.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_labor_actions reads open 11h ago

    Get labor actions affecting supply chains extracted from news intelligence. Covers strikes, lockouts, slowdowns, contract negotiations, and protests. Each event includes union, employer, location, worker count, affected ports, status, and impact description. Used by logistics planners and procurement teams to assess labor disruption risk at ports and manufacturing facilities.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_chokepoint_traffic open 28h ago

    Monitor real-time vessel traffic and congestion at critical maritime chokepoints — Suez Canal, Panama Canal, Strait of Malacca, Strait of Hormuz, Bab el-Mandeb, and other strategic waterways. Returns total vessel count, average speed, count of slow or stationary vessels, and a congestion score with severity level. When chokepoints congest or close, global shipping routes reroute within days — this data detects that signal in real time.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_commodity_volatility_alerts reads open 28h ago

    Get alerts for commodities experiencing abnormal price volatility. Flags any commodity where the 24-hour price change exceeds normal ranges or where prices are at extreme levels. Returns the current price, 24-hour change percentage, trend direction, and risk assessment. Answers 'which commodities are behaving unusually right now?' — a question that takes procurement teams hours to answer manually. Used by procurement teams to time purchases, commodity traders to identify opportunities, and supply chain managers to anticipate cost changes.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_energy_breakdown reads open 21h ago

    Get comprehensive US energy market status for supply chain cost analysis. Returns crude oil prices (WTI and Brent), natural gas spot prices (Henry Hub), retail fuel prices (gasoline, diesel), natural gas storage versus capacity, refinery utilization rates, petroleum stock levels with week-over-week changes, and import/export flows. This is the disaggregated view behind the GDI Energy pillar — instead of a single risk number, you get the full picture of energy costs affecting manufacturing, freight, and logistics. Used by supply chain cost analysts, transportation managers, and energy procurement teams.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • port_congestion_monitor reads unknown never probed

    Monitor real-time port congestion and vessel traffic at 26 major global ports. Returns vessel counts at berth and at anchor, congestion score versus historical baseline, and port status. Covers US ports (Los Angeles, Long Beach, Savannah, Houston, New York/New Jersey, Charleston, Oakland, Seattle, Tacoma), Asian ports (Shanghai, Singapore, Busan, Ningbo, Shenzhen, Hong Kong), and European ports (Rotterdam, Hamburg, Antwerp, Felixstowe, Piraeus). Used by freight forwarders, logistics teams, and importers to monitor delays, plan routing, and anticipate lead time changes.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_predictive_signals reads unknown never probed

    Statistically validated leading indicator signals evaluated against live supply chain data. Each signal is a Granger-causal relationship tested at p<=0.01 with directional accuracy >=55%. Signals predict commodity price movements and macroeconomic changes 1 week to 6 months ahead. Returns ACTIVE (threshold crossed, act now), WATCH (approaching threshold, prepare), or CLEAR status for each signal, organized by predictor group (GDI pillars, commodities and commercial demand). Used by commodity traders for forward-looking positioning, procurement teams for buy/defer timing, and hedge funds for alternative data signals.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • supply_chain_risk_assessment unknown never probed

    Assess current global supply chain disruption risk. Returns the Global Disruption Index (GDI) — a real-time composite score from 0-100 measuring disruption across transportation, energy, materials, and macroeconomic pillars. Higher scores indicate greater supply chain risk. Built from 200+ live data variables including port congestion at 26 global ports, commodity prices for 31 assets, US border crossing delays, and Federal Reserve economic indicators. Used by procurement teams, logistics planners, commodity traders, and supply chain managers for real-time supply chain visibility and risk monitoring. A pillar with no measurement this cycle is reported as unavailable with the reason, and the composite is withheld when fewer than three pillars are measured.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • manufacturing_output_indicator unknown never probed

    Not available. The SupplyMaven Manufacturing Index is not currently offered; this tool returns a plain not-available response.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • commodity_price_monitor reads unknown never probed

    Monitor real-time commodity prices and price volatility for supply chain cost management. Tracks 31 commodities across energy (WTI crude, Brent, natural gas, coal, ethanol), metals (copper, aluminum, nickel, zinc, lithium, cobalt, iron, titanium, uranium), agriculture (corn, wheat, soybeans, rice, cotton, lumber), industrial materials (rubber, polyethylene, PVC, polypropylene, soda ash), and semiconductor materials (germanium, gallium, indium, neodymium). Returns current price and 24-hour change percentage. Free tier covers 5 key commodities; paid tier covers all 31.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • supply_chain_disruption_alerts reads unknown never probed

    Get real-time supply chain disruption alerts from global news intelligence and event detection. Returns categorized alerts for port closures, trade policy changes, tariff actions, natural disasters, labor strikes, sanctions, commodity shortages, and weather disruptions. Each alert includes severity level, affected supply chain stage (sourcing, manufacturing, logistics, distribution), and risk score. Free tier returns critical-severity alerts only; paid tier returns all severities.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_action_signals reads unknown never probed

    Get statistically validated leading indicator signals evaluated against live GDI data. Each signal is a Granger-causal relationship (p≤0.01) with a specific lag time and directional accuracy. Returns ACTIVE, WATCH, or CLEAR status for each signal. Paid tier only.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • get_border_delays reads unknown never probed

    Get real-time commercial border crossing wait times at US-Mexico and US-Canada ports of entry. Returns current delay in minutes for commercial vehicles, number of lanes open, and port status. Updated every 30 minutes from US Customs and Border Protection. Covers all major commercial crossings including Laredo, El Paso, Nogales, Otay Mesa, Detroit, Buffalo, and Blaine. Used by logistics companies, freight brokers, and trucking operations to route cross-border shipments through the fastest crossing points.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • get_signal_narratives unknown never probed

    Get plain-language explanations of active predictive signals. Each narrative explains the mechanism behind a signal — why the predictor leads the target, what economic logic connects them, and what the current reading implies. Designed for non-quantitative users who want to understand the 'why' behind each signal without reading F-statistics. Returns trigger context, predictor value, direction, and a narrative paragraph suitable for reports and briefings.

    mcp-tool

    {
      "type": "object",
      "properties": {}
    }
    arguments 4 lines
  • risk_pillar_breakdown reads unknown never probed

    Get detailed breakdown of supply chain disruption risk by category. Returns individual scores for each GDI pillar — Transportation (port congestion, border delays, freight weather), Energy (petroleum, natural gas, electricity, fuel prices), Materials (31 commodity prices with volatility), and Macro (Federal Reserve indicators, Producer Price Index). Each pillar includes its score, trend direction, and the specific data points driving the current reading. Essential for supply chain managers who need to diagnose which risk category is elevated and why. A pillar with no measurement this cycle is reported as unavailable with the reason, and the composite is withheld when fewer than three pillars are measured.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id aaa460792cac40f6.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/aaa460792cac40f6/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/aaa460792cac40f6/badge.svg)](https://brick.blue/agent/aaa460792cac40f6?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.