Low Risk

premium_x402_series

Time-series of ecosystem or per-publisher x402 settlement volume or count across a from/to date range, chart-feeding. Required: metric (volume or count), granularity (day or hour), from + to (YYYY-MM-DD). Optional: domain filter (omit for ecosystem). VS FREE: get_x402_summary returns one rolled-u...

Part of the TensorFeed server.

premium_x402_series is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call premium_x402_series to retrieve information from TensorFeed 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 premium_x402_series 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "premium_x402_series": {}
  }
}

See the full TensorFeed policy for all 79 tools.

Get this rule live on your own TensorFeed server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access premium_x402_series gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so premium_x402_series only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the premium_x402_series tool do? +

Time-series of ecosystem or per-publisher x402 settlement volume or count across a from/to date range, chart-feeding. Required: metric (volume or count), granularity (day or hour), from + to (YYYY-MM-DD). Optional: domain filter (omit for ecosystem). VS FREE: get_x402_summary returns one rolled-up scalar per call for a fixed window length (24h / 7d / 30d). For ANY chart or dashboard, the caller needs a series, not a scalar. The premium endpoint returns the full series in one call instead of N calls + N rate-limit budget burns. For a publisher-scoped series, it is the ONLY way to get per-publisher daily data (get_x402_summary is ecosystem-only). MVP supports granularity=day; hour returns an empty series with an attribution note (hourly rollups land in a future indexer version). Costs 1 credit ($0.02).. It is categorised as a Read tool in the TensorFeed MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on premium_x402_series? +

Register the TensorFeed MCP server in PolicyLayer and add a rule for premium_x402_series: 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.

What risk level is premium_x402_series? +

premium_x402_series is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit premium_x402_series? +

Yes. Add a rate_limit block to the premium_x402_series 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 premium_x402_series completely? +

Set action: deny in the PolicyLayer policy for premium_x402_series. 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 premium_x402_series? +

premium_x402_series 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.

Enforce policy on every TensorFeed tool call.

Deterministic rules across all 79 TensorFeed tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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