Look up an agent's public reputation card from the TensorFeed Agent Reputation Bureau. Takes a wallet (0x + 40 hex) OR a token_prefix (first 16 chars of a tf_live_ bearer). Returns the full ReputationCard: composite + sub-metric ranks (reliability, spend, activity, streak), trust grade A through ...
AI agents call check_agent_reputation to retrieve information from TensorFeed without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
wallet | string | — | EIP-55 or lowercased EOA wallet address (0x + 40 hex). Mutually exclusive with token_prefix. |
token_prefix | string | — | First 16 chars of a tf_live_ bearer token (e.g. "tf_live_18e54f47"). Mutually exclusive with wallet. |
Parameters from the server's own tool schema.
This is a read-only lookup tool that queries and returns reputation metadata about agents. While it exposes potentially sensitive identity information (OFAC status, wallet age, activity patterns, ban status, spend metrics), the operation itself is non-destructive and retrieves existing data.
From the tool's definition Tool description: 'Look up an agent's public reputation card' — retrieves reputation data with no modification capability. Returns structured data (ReputationCard with ranks, grades, flags, wallet metadata) based on wallet address or token prefix lookup.
Attacks that exploit this kind of access
Look up an agent's public reputation card from the TensorFeed Agent Reputation Bureau. Takes a wallet (0x + 40 hex) OR a token_prefix (first 16 chars of a tf_live_ bearer). Returns the full ReputationCard: composite + sub-metric ranks (reliability, spend, activity, streak), trust grade A through F, public flags (new_wallet, spend_spike, claim_disputed, etc), wallet age, first_seen, last_active, ofac_clean, banned + ban_reason if applicable. Cards rebuild daily at 04:50 UTC from TF's own observable telemetry. Returns ok=false with status=not_found for unknown identities so callers can distinguish "we have no record" from "we have a record showing zero activity". Useful for: marketplaces routing work to high-grade agents, peer agents deciding to trust another agent, ops dashboards monitoring an agent's standing, or operators inspecting their own reputation before claiming a wallet. It is categorised as a Read tool in the TensorFeed MCP Server, which means it retrieves data without modifying state.
check_agent_reputation accepts 2 parameters: wallet, token_prefix. The full parameter table on this page comes from the server's own tool schema.
Register the TensorFeed MCP server in PolicyLayer and add a rule for check_agent_reputation: 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 TensorFeed. Nothing to install.
check_agent_reputation 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 check_agent_reputation 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 check_agent_reputation. 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.
check_agent_reputation is provided by the TensorFeed MCP server (https://mcp.tensorfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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