# tengu_v3_supply_chain_geo_revenue

GEOGRAPHIC REVENUE EXPOSURE for one company — where the revenue actually comes from, estimated region by region and country by country for a fiscal period, with a per-row confidence score. This is the tariff / geopolitical lens: it answers 'how much of this company's revenue is China?' for names that never break that out. Returns the requested hierarchy layer as regions, the country leaves as countries, concentration metrics (largest country share and an HHI), the period served and the other periods available. ?country=CN,TW returns a per-period HISTORY for exactly those countries. Each layer sums to 100 on its own, so never add a region to a country. Amounts carry NO currency code in the source and the reporting currency can change between periods, so compare on PERCENT, not amount. Estimates, not company-reported segments — for reported segments use /fundamentals/segments/{ticker}.

Agent View of the PolicyLayer registry record for `tengu_v3_supply_chain_geo_revenue`. HTML page: https://policylayer.com/tools/tengu-mcp/tengu-v3-supply-chain-geo-revenue

## Facts

- Tool: `tengu_v3_supply_chain_geo_revenue`
- Server: Tengu (`Hlobo-dev/tengu-mcp`) — https://policylayer.com/tools/tengu-mcp.md
- Homepage: https://github.com/Hlobo-dev/tengu-mcp
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 6 (1 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `layer` | integer | no |  |
| `period` | string | no |  |
| `ticker` | string | yes | Path parameter 'ticker' (required). |
| `country` | string | no |  |
| `company_id` | string | no |  |
| `top_countries` | integer | no |  |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "tengu_v3_supply_chain_geo_revenue",
    "arguments": {
      "ticker": "<ticker>"
    }
  }
}
```

## Why tengu_v3_supply_chain_geo_revenue is rated Medium

An AI agent can call tengu_v3_supply_chain_geo_revenue faster than any human can review: one bad instruction and it creates or modifies resources in Tengu by the hundred, each call as confident as the last.

## Use case

AI agents use tengu_v3_supply_chain_geo_revenue to create or update resources in Tengu, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tengu environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Tengu:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "tengu_v3_supply_chain_geo_revenue": {
      "limits": [
        {
          "counter": "tengu_v3_supply_chain_geo_revenue_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Tengu (336)

- `tengu_v3_features_dataset` — Destructive — https://policylayer.com/tools/tengu-mcp/tengu-v3-features-dataset.md
- `tengu_v3_intel_borrow_cost_history` — Destructive — https://policylayer.com/tools/tengu-mcp/tengu-v3-intel-borrow-cost-history.md
- `tengu_v3_intel_insider_flow` — Destructive — https://policylayer.com/tools/tengu-mcp/tengu-v3-intel-insider-flow.md
- `tengu_v3_intel_risk_free_rate` — Destructive — https://policylayer.com/tools/tengu-mcp/tengu-v3-intel-risk-free-rate.md
- `tengu_v3_intel_sec13f_changes` — Destructive — https://policylayer.com/tools/tengu-mcp/tengu-v3-intel-sec13f-changes.md
- `tengu_v3_backtest_run_detail` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-backtest-run-detail.md
- `tengu_v3_briefing_daily` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-briefing-daily.md
- `tengu_v3_factor_predictors` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-factor-predictors.md
- `tengu_v3_intel_darkpool_history` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-intel-darkpool-history.md
- `tengu_v3_intel_gex_history` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-intel-gex-history.md
- `tengu_v3_intel_ml_drivers` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-intel-ml-drivers.md
- `tengu_v3_intel_ml_prediction` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-intel-ml-prediction.md
- `tengu_v3_intel_options_flow_history` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-intel-options-flow-history.md
- `tengu_v3_news_sentiment_history` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-news-sentiment-history.md
- `tengu_v3_optimizer_latest` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-optimizer-latest.md
- `tengu_v3_prices_corporate_actions` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-prices-corporate-actions.md
- `tengu_v3_private_markets_service_provider_relations` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-private-markets-service-provider-relations.md
- `tengu_v3_reference_coverage` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-reference-coverage.md
- `tengu_v3_supply_chain_relationships` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-supply-chain-relationships.md
- `tengu_v3_tape_bars` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-tape-bars.md
- `tengu_v3_validation_trials` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-validation-trials.md
- `tengu_v3_workforce_layoffs` — Execute — https://policylayer.com/tools/tengu-mcp/tengu-v3-workforce-layoffs.md
- `tengu_cache_stats` — Read — https://policylayer.com/tools/tengu-mcp/tengu-cache-stats.md
- `tengu_copilot_decision_review` — Read — https://policylayer.com/tools/tengu-mcp/tengu-copilot-decision-review.md
- `tengu_copilot_live_ic_drift` — Read — https://policylayer.com/tools/tengu-mcp/tengu-copilot-live-ic-drift.md
- `tengu_copilot_macro_regime` — Read — https://policylayer.com/tools/tengu-mcp/tengu-copilot-macro-regime.md
- `tengu_copilot_score_ticker` — Read — https://policylayer.com/tools/tengu-mcp/tengu-copilot-score-ticker.md
- `tengu_copilot_signal_health` — Read — https://policylayer.com/tools/tengu-mcp/tengu-copilot-signal-health.md
- `tengu_copilot_ticker_full` — Read — https://policylayer.com/tools/tengu-mcp/tengu-copilot-ticker-full.md
- `tengu_copilot_ticker_smartmoney` — Read — https://policylayer.com/tools/tengu-mcp/tengu-copilot-ticker-smartmoney.md
- …and 306 more: https://policylayer.com/tools/tengu-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=tengu-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/tengu-mcp