Predict next-month NDVI at a cell using a constrained JEPA-pattern AR(2) seasonal predictor. Reads up to 24 past months of indices.ndvi, fits a closed-form predictor y_{t+1} = α·(lag-12 NDVI or recent mean) + β·(last + slope) + γ·recent_mean, returns the prediction clamped to NDVI's physical rang...
Part of the emem — Earth memory protocol server.
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AI agents call emem_jepa_predict to retrieve information from emem — Earth memory protocol without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though emem_jepa_predict only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"emem_jepa_predict": {}
}
}See the full emem — Earth memory protocol policy for all 81 tools.
These attack patterns abuse exactly the kind of access emem_jepa_predict gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Predict next-month NDVI at a cell using a constrained JEPA-pattern AR(2) seasonal predictor. Reads up to 24 past months of indices.ndvi, fits a closed-form predictor y_{t+1} = α·(lag-12 NDVI or recent mean) + β·(last + slope) + γ·recent_mean, returns the prediction clamped to NDVI's physical range. Coefficients (α=0.6, β=0.3, γ=0.1) are NOT learned — they're fixed from the agricultural-NDVI literature. v2 (future) will train an actual encoder + predictor on the geotessera embedding pool. When to use: Use when the user wants a one-month-ahead NDVI forecast at a specific cell (crop-stress monitoring, growing-season tracking, vegetation-anomaly anticipation). Lookback defaults to 6 months; if fewer monthly tslots are attested at this cell, the predictor uses what's there and surfaces the count in lookback_months_used. Returns 422 if no NDVI history exists at the cell — chain to emem_backfill first to seed history. Receipt cites every input NDVI fact CID.. It is categorised as a Read tool in the emem — Earth memory protocol MCP Server, which means it retrieves data without modifying state.
Register the emem — Earth memory protocol MCP server in PolicyLayer and add a rule for emem_jepa_predict: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches emem — Earth memory protocol. Nothing to install.
emem_jepa_predict is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the emem_jepa_predict rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for emem_jepa_predict. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
emem_jepa_predict is provided by the emem — Earth memory protocol MCP server (oci:ghcr.io/vortx-ai/emem:latest). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 81 emem — Earth memory protocol tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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