AgriShield
Market Analytics and Price Risk Management engine for detecting spillovers and volatility in the meat sector.
Market Risk & Spillover Analytics Platform
Price Intelligence Dashboard
Dynamic visualization of livestock and meat product prices.
Market Connectedness Analyzer
Measurement of interdependencies between international and domestic markets.
Shock Transmission Monitor
Identification of volatility transmitters and receivers.
Forecast & Risk Engine
Trend forecasting and risk scenario assessment.
Geospatial Price Viewer
Interactive maps with regional prices and territorial clusters.
Spillover Risk Score
Synthetic indicators of sectoral systemic risk.
Methodology
Cointegration and price transmission analysis
Identification of long-run equilibrium relationships between markets, detection of leadership in the price formation process, and measurement of the degree of spatial and vertical integration across the chain.
Time-Varying Parameter VAR models (TVP-VAR)
Modeling the dynamic interdependence between prices, external shocks, and macro or sectoral variables, capturing structural changes and the temporal evolution of transmission mechanisms.
Spillover analysis via the GFEVD-based Connectedness Approach
Quantification of the systemic propagation of shocks between markets, measuring centrality, vulnerability, and net contributions to risk within dynamic economic networks.
Quantile VAR (QVAR) for state-dependent market transmission
Assessment of contagion and dependence mechanisms under different cycle conditions, capturing nonlinearities and asymmetries in the transmission of prices and risks.
Multivariate GARCH models for volatility and risk dynamics
Estimation of conditional volatility, co-movements in variance, and shock clustering to build operational metrics of financial and agro-economic risk.
Machine Learning and Deep Learning models for nonlinear prediction and nowcasting
Integration of large volumes of heterogeneous data to improve predictive performance, detect complex patterns, and feed early warning systems.
Cointegration and price transmission analysis
Identification of long-run equilibrium relationships between markets, detection of leadership in the price formation process, and measurement of the degree of spatial and vertical integration across the chain.
Time-Varying Parameter VAR models (TVP-VAR)
Modeling the dynamic interdependence between prices, external shocks, and macro or sectoral variables, capturing structural changes and the temporal evolution of transmission mechanisms.
Spillover analysis via the GFEVD-based Connectedness Approach
Quantification of the systemic propagation of shocks between markets, measuring centrality, vulnerability, and net contributions to risk within dynamic economic networks.
Quantile VAR (QVAR) for state-dependent market transmission
Assessment of contagion and dependence mechanisms under different cycle conditions, capturing nonlinearities and asymmetries in the transmission of prices and risks.
Multivariate GARCH models for volatility and risk dynamics
Estimation of conditional volatility, co-movements in variance, and shock clustering to build operational metrics of financial and agro-economic risk.
Machine Learning and Deep Learning models for nonlinear prediction and nowcasting
Integration of large volumes of heterogeneous data to improve predictive performance, detect complex patterns, and feed early warning systems.
Collaboration Ecosystem
AgriShield Analytics Portal — Early Access
Access the initial production release of the analytics environment to:
- visualize dynamic price dashboards
- run market connectedness analyses
- explore advanced volatility and risk indicators
- download automated economic reports
- simulate prospective market scenarios
Exclusive access for researchers, participating producers, and collaborating institutions.
Access AgriShield from your AI agent (MCP)
AgriShield exposes an MCP server (Model Context Protocol) with over 100 tools for price, risk, and spillover analysis in the meat sector, ready to connect to Claude, autonomous agents, and any MCP client. Two ways to access:
- With an institutional token (beta): direct MCP access with your own credential, audited and revocable. Requested via contact.
- Pay per request (x402, in testing on testnet): your agent pays for each call in USDC with no prior registration — the payment is the credential.
- Public methodology and sources, with no authentication, to assess the rigor before integrating.
MCP connection snippet:
{
"mcpServers": {
"agrishield": {
"type": "http",
"url": "https://agrishield-mcp-production.up.railway.app/mcp/",
"headers": { "Authorization": "Bearer <token>" }
}
}
}