DeepSeek did something structurally important for quantitative research: it collapsed the cost of frontier-grade reasoning to near zero. You can now run thousands of analytical passes — screening, thesis generation, statement analysis — for what a single seat of legacy software costs per day. Which moves the bottleneck to the only input that still matters: data.
Cheap reasoning over bad data just produces wrong answers faster. The stack that works pairs DeepSeek's economics with institutional-grade inputs.
The Setup
- Step 1: Free Eulerpool API key — 100,000 calls/month, no card.
- Step 2: Wire Eulerpool into your agent framework as tools — via the native MCP server (250+ tools), which every major framework (LangChain, LlamaIndex, OpenAI-compatible tool calling) speaks natively, or directly against the REST API.
- Step 3: Run DeepSeek — hosted API or self-hosted open weights — with function calling against those tools.
Self-hosters get a bonus: with open weights and a data API, your entire research pipeline runs under your control — no terminal seat, no per-user licensing, no data leaving your infrastructure beyond API calls.
Why Eulerpool Is the Data Layer for This Stack
- Deterministic schemas. Typed JSON with consistent field semantics across 50,000+ global companies — the property that makes bulk LLM analysis reliable instead of noisy.
- Depth where quant work lives: full statement history (as-reported and standardized), estimates with revisions, insider trades, short interest, segments — plus macro (FRED, ECB, IMF, World Bank) for regime context.
- Throughput pricing that matches DeepSeek's: $99/month for 1M calls, $499/month for 10M — data costs that scale like your inference costs, not like a Bloomberg contract.
- Sub-10ms latency, so thousand-call screening runs finish in minutes.
What Teams Run on This Stack
- Overnight screens: DeepSeek evaluates every earnings report filed that day against your quality criteria.
- Thesis stress-tests: generate the strongest bear case for each portfolio holding from segment and estimate data.
- Systematic summaries: quarterly statement deltas for a 500-name universe, every quarter, automatically.
Frontier reasoning is now a commodity. Institutional data is the edge. Start free.