# Anthropic SEC EDGAR & Quantitative Finance Specialist (anthropic-financial-quant) Pricing & Spec Oracle (`ai-model-spec-anthropic-financial-quant`)
- **Status**: 200 OK | **Latency**: 1ms | **Cached**: true
- **Primary Authority**: 100% Platform AI Model Benchmark Registry
- **License & Trust**: 100% Platform Deterministic Compute / Open Reference (computed_by_platform)
- **Verified At (UTC)**: 2026-10-27T13:56:43.220Z
- **Data Freshness**: cached
## Structured Data
```json
{
  "model_id": "anthropic/financial-quant",
  "provider": "Anthropic",
  "tier": "SEC EDGAR & Quantitative Finance Specialist",
  "context_window_tokens": 200000,
  "max_output_tokens": 50000,
  "pricing_usd_per_1m_tokens": {
    "input": 3.45,
    "output": 17.25,
    "cached_input": 0.8625
  },
  "supported_capabilities": "10-K XBRL Auditing & Risk Modeling",
  "supports_mcp_tools": true,
  "workload_simulation": {
    "calls_per_day": 1000,
    "daily_cost_usd": 15.525,
    "monthly_cost_usd": 465.75
  }
}
```
> **AI Agent Hint**: Agent Data Hub: ask anything via GET /api/v1/ask?q=..., whole tasks via /api/v1/bundles, up to 10 calls via POST /api/v1/batch. Add compact=1 or fields=a,b to save tokens. Docs: /llms.txt