predict_market_trajectory
Forecast a DCPI market's near-term trajectory (next 1-8 quarters). Projects excess_power_score and constraint_score forward with confidence bands that WIDEN with horizon, from DC Hub's daily DCPI snapshot history — the only source that can, because it owns the time-series. Use to answer "is this ...
This record as markdown: /tools/cloud-dchub-mcp-server/predict-market-trajectory.md
What predict_market_trajectory does on Mcp Server
AI agents call predict_market_trajectory to retrieve information from Mcp Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
market_slug | string | — | Market slug (metro), e.g. dallas, phoenix, northern-virginia — valid slugs come from rank_markets / get_market_dcpi_rank |
horizon_quarters | integer | — | Forecast horizon in quarters (1-8, default 4); 2 = ~6 months ahead |
Parameters from the server's own tool schema.
Why predict_market_trajectory is rated Low
The tool retrieves historical DCPI snapshot data and performs statistical forecasting (with confidence bands). It is purely analytical/read-only: it queries time-series history and returns projections. No data is created, modified, deleted, or any financial transaction initiated. Severity is low since misuse only risks acting on incorrect market forecasts.
From the tool's definition 'Forecast a DCPI market's near-term trajectory' and 'Projects excess_power_score and constraint_score forward' — this tool reads from DC Hub's historical time-series data and generates forecasts/projections without modifying any data
Attacks that exploit this kind of access
The rule that runs predict_market_trajectory safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For predict_market_trajectory, this is the rule to start with:
predict_market_trajectory is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Server, apply this rule, and every predict_market_trajectory call is checked against it from then on.
Questions about predict_market_trajectory
Forecast a DCPI market's near-term trajectory (next 1-8 quarters). Projects excess_power_score and constraint_score forward with confidence bands that WIDEN with horizon, from DC Hub's daily DCPI snapshot history — the only source that can, because it owns the time-series. Use to answer "is this market trending toward BUILD or AVOID?" or "will Dallas power stay tight over the next 6 months?". Params: market_slug (required, metro slug e.g. dallas, phoenix, northern-virginia — valid slugs come from rank_markets / get_market_dcpi_rank); horizon_quarters (optional 1-8, default 4; 2 = ~6 months out). Returns {market_slug, method, basis{history_points, history_span_days, slope_per_day, trend}, horizon_quarters, projection[{quarter_out, excess_power_score, excess_power_band, constraint_score, constraint_band}], caveat, snapshot_record}. HONEST: linear trend extrapolation, NOT a guarantee — bands widen with horizon and short history; needs >=3 daily snapshots or it declines. Do NOT use for a single point-in-time verdict (use get_market_dcpi_rank) or to rank many markets (use rank_markets). It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.
predict_market_trajectory accepts 2 parameters: market_slug, horizon_quarters. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Server MCP server in PolicyLayer and add a rule for predict_market_trajectory: 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 Mcp Server. Nothing to install.
predict_market_trajectory 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 predict_market_trajectory 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 predict_market_trajectory. 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.
predict_market_trajectory is provided by the Mcp Server MCP server (https://dchub.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Mcp Server, and thousands of servers like it.
This server
Across the catalogue