Publication
Benchmarks
Dated, reproducible reports on AI-in-markets tooling. Methodology is published up front; sources are linked inline; the underlying data lives in the linked tools.
State of LLM Pricing for Finance — Q2 2026
Pricing-grade snapshot of every finance-relevant LLM tier as of 2026-04-23, sourced line-by-line from vendor pricing pages. Anthropic Claude Haiku 4.5 / Sonnet 4.6 / Opus 4.6 + 4.7, OpenAI GPT-5.4 family, Google Gemini 2.5 — with four worked finance scenarios.
- 10 model tiers across 3 vendors
- 4 worked finance scenarios with $/month
- Cache, batch, context, and thinking rates documented
- Downloadable CSV + JSON
State of AI Market Data 2026
The 2026 baseline for how retail and small-team AI operators source, use, and pay for market data across Databento, Polygon, Alpaca, Tiingo, FMP, and Alpha Vantage — plus MCP coverage by vendor and LLM-task price/performance.
- 6 vendors benchmarked
- 5 LLM models scored on finance extraction
- MCP coverage audit
- Downloadable CSV + JSON
Standards
Every benchmark follows the same rules
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Methodology first
Every benchmark publishes its full methodology before the report.
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Raw data shipped
CSV + JSON downloads for independent verification on every report page.
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Editorially independent
No sponsors, affiliate links, or paid placements in any benchmark as of today.
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Public corrections
All corrections logged at /corrections/ with dated entries.
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Frozen at publication
Reports are dated at publication. Revisions ship as a new report.