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tengu_v3_factor_predictors

academic open-source predictor panel for one stock — a compact vector of 13 replicated accounting anomalies (Sloan accruals, Cooper-Gulen-Schill asset growth, Titman capital investment, Novy-Marx gross profitability, Fama-French operating profitability, cash-to-assets, leverage change, earnings c...

SERVERTengu SOURCEHlobo-dev/tengu-mcp
High RISK CLASS
Category Execute
Parameters 51 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/tengu-mcp/tengu-v3-factor-predictors.md

What tengu_v3_factor_predictors does on Tengu

AI agents invoke tengu_v3_factor_predictors to trigger actions in Tengu. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

ParameterTypeRequiredDescription
end string
limit integer
start string
latest boolean
ticker string Yes Path parameter 'ticker' (required).

Parameters from the server's own tool schema.

Why tengu_v3_factor_predictors is rated High

tengu_v3_factor_predictors triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Questions about tengu_v3_factor_predictors

What does the tengu_v3_factor_predictors tool do? +

academic open-source predictor panel for one stock — a compact vector of 13 replicated accounting anomalies (Sloan accruals, Cooper-Gulen-Schill asset growth, Titman capital investment, Novy-Marx gross profitability, Fama-French operating profitability, cash-to-assets, leverage change, earnings consistency, revenue growth, positive-NI/positive-CFO flags, current ratio, net share issuance) at monthly grain. Call it for a ready-made feature vector when you don't need the full ~460-column factor panel. Returns the series newest-last, or with latest=true only the single most-recent row as a name->value map; with no start/end it serves the LATEST AVAILABLE rows (lagged quarterly archive) and reports the actual window. Ticker is resolved to its internal security key automatically (the table has no ticker column). It is categorised as a Execute tool in the Tengu MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does tengu_v3_factor_predictors accept? +

tengu_v3_factor_predictors accepts 5 parameters: end, limit, start, latest, ticker. Required: ticker. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on tengu_v3_factor_predictors? +

Register the Tengu MCP server in PolicyLayer and add a rule for tengu_v3_factor_predictors: 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 Tengu. Nothing to install.

What risk level is tengu_v3_factor_predictors? +

tengu_v3_factor_predictors is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit tengu_v3_factor_predictors? +

Yes. Add a rate_limit block to the tengu_v3_factor_predictors 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 tengu_v3_factor_predictors completely? +

Set action: deny in the PolicyLayer policy for tengu_v3_factor_predictors. 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 tengu_v3_factor_predictors? +

tengu_v3_factor_predictors is provided by the Tengu MCP server (Hlobo-dev/tengu-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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