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 ...

SERVERMcp Server SOURCEhttps://dchub.cloud/mcp
Low RISK CLASS
Category Read
Parameters 20 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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.

ParameterTypeRequiredDescription
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

Questions about predict_market_trajectory

What does the predict_market_trajectory tool do? +

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.

What parameters does predict_market_trajectory accept? +

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.

How do I enforce a policy on predict_market_trajectory? +

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.

What risk level is predict_market_trajectory? +

predict_market_trajectory is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit predict_market_trajectory? +

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.

How do I block predict_market_trajectory completely? +

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.

What MCP server provides predict_market_trajectory? +

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.

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