Potato Market Intelligence

Potato Transaction Reporting Coverage

Potato transaction reporting coverage estimates how much eligible physical trading is visible in the reported dataset. MassGain compares submissions with shipments, processor intake, known participants, and market activity so benchmark users can see when a narrow reporting panel may not represent the broader market.

Market Data

How to read this market

Potato transaction-reporting-coverage data estimates how much of eligible physical trading is captured in the transaction set used for analysis or benchmarking. The market object is reported trade volume relative to the broader commercial market by region, product, channel, participant class, and period.

Use the data to compare submitted transactions with processor intake, shipments, warehouse movement, trade records, and known participant activity. Keep the estimated denominator and its uncertainty explicit because unreported bilateral trade cannot be observed directly.

Data Module

Potato Transaction Reporting Coverage

Market objectvisible share of physical trading
Primary measuresreported volume and estimated market share
Key dimensionsregion, product, channel, participant
Commercial usebenchmark and risk validation
Coverage contexttonnes, value, contributor breadth
Compare withshipments, intake, broader market activity
Analysis

Why this matters

Low reporting coverage can make a stable benchmark look more representative than it is. If most visible trades come from one processor segment while merchants or growers transact privately, the price may describe only the reported slice.

Commercial interpretation should treat the coverage estimate as a confidence measure rather than invent the unseen trades. Weak coverage calls for broader outreach, corroborating flow data, and caution when applying the benchmark to larger exposure.

Signal 01

Usable Crop Uncertainty Index

UCUI translates crop and market complexity into a simple uncertainty signal. Higher readings indicate greater uncertainty—not necessarily higher prices.

Preview data
Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Illustrative value until the live UCUI endpoint is connected.

Understand uncertainty. Anticipate risk. Act earlier.

UCUI is designed to analyze potato-industry publications and data signals across regions, varieties, weather, disease, storage, supply, and demand.

WeatherHigh
DiseaseHigh
StorageMedium
SupplyMedium
Single-day snapshot based on a scan of 11,500+ web and social signals. Get historical and real-time data by clicking the button below.
See Today’s MPI ↓
The MassGain Daily

Today’s market analysis.

A daily editorial synthesis of physical potato data, crop signals, market reporting, and what participants should watch next.

Signal 02

MassGain Potato Index

Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.

Preview data
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
Illustrative presentation until the live MPI endpoint is connected.

Price discovery for the physical potato market

MPI is designed to track physical pricing data, price trends, deltas, and divergences across regions and potato types.

Series window45 days
Current public coverageCore russet cartons
Primary source basisQualifying USDA physical rows
UnitUSD per metric tonne
Single-day snapshot based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varieties by clicking the button below.
See Today’s MSR ↓
Signal 03

MassGain Spot Reference

An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.

Illustrative only
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
Not a current market reference. This value is included only to preview the MSR presentation.

A trusted benchmark for pricing, contracts, and risk

MSR is intended to use real transactions and verifiable physical-market data to support negotiations, price checks, contracting, and risk models.

ProductRusset Burbank
SpecificationU.S. midsize, 40–70 count
Reference typePhysical spot benchmark
StatusIn development
Based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varities by clicking the button below. Full access also includes historical data -- including depreciated NYMEX/CBOE/EEX spot references -- projections, trends, and AI-driven insights.
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The MassGain Product Ladder

From insight to intelligence to action

Four integrated products built for the physical potato market, delivered through public pages, reports, exports, dashboards, and API access.

1

Content

Original research, commentary, aggregated news, and market updates.

  • What matters right now?
  • What is happening out there?
2

UCUI™

Usable Crop Uncertainty Index: an AI-powered signal of crop risk and market uncertainty.

  • Understand uncertainty
  • Anticipate risk
  • Act earlier
3

MPI™

MassGain Potato Index: independent physical-pricing intelligence and trend analysis.

  • Price discovery
  • Regional trends
  • Procurement planning
4

MSR™

MassGain Spot Reference: an independent benchmark for price discovery and risk modeling.

  • Contracts
  • Negotiations
  • Risk models

Content + UCUI + MPI + MSR + API access

Get historical series, regional detail, constituent data, exports, alerts, and direct data access.

Overview

Who is this for?

This page is for procurement, market-intelligence, benchmark, and risk teams that need to know how much of the physical potato market is represented in transaction reporting. Reporting coverage compares captured transactions with estimated total commercial activity by region, product, channel, and period and identifies where unreported bilateral trade may distort pricing or risk analysis.

MassGain links transaction submissions with shipment volumes, processor intake, warehouse movement, trade records, contributor rosters, and known market participants. It can estimate coverage by tonnes, value, transaction count, buyer and seller breadth, or market segment. Procurement can judge whether a reported benchmark reflects its actual sourcing channel. Benchmark teams can identify underrepresented districts or participant classes. Risk managers can see when apparent price stability rests on a narrow visible market while substantial off-screen volume may be trading differently.

Complete coverage is rarely possible in fragmented physical markets. MassGain does not claim unobserved transactions are known; it documents estimated denominators, confidence, and methodological limits. The framework helps users distinguish broad transactional evidence from a small reporting panel and apply appropriate caution, outreach, and fallback methods where coverage is weak.

Use Case

A regional benchmark captures 18,000 reported tonnes in a month. MassGain compares processor receipts and shipment records and estimates the eligible market at roughly 52,000 tonnes, with fresh-market merchants especially underrepresented. The administrator expands outreach and prevents the visible processing segment from standing in for the whole region.

FAQs

What is transaction reporting coverage?

It is the share of estimated eligible market activity represented by submitted or collected transaction records.

Why can low coverage create risk?

Visible prices may reflect a narrow participant group while unreported business clears on different terms.

How does MassGain estimate the denominator?

It uses compatible shipment, intake, trade, inventory, and participant evidence with documented uncertainty.

Put this market intelligence to work

Get historical data, regional detail, benchmarks, alerts, exports, and API access tailored to your procurement
and market-analysis needs.

Data and Methodology

Professional market-data standards

MassGain is building transparent public market infrastructure. Each live metric will identify its date, unit, coverage, methodology, and source basis.