Valuein vs Calcbench
Strong XBRL extraction for analysts — Valuein is built for programmatic and agent access
The key difference
Calcbench excels at deep, inline XBRL extraction in a web tool for analysts. Valuein is built for programmatic and AI-agent access: a Bulk Data API, Python SDK, and an agent-safe MCP serving 111M+ facts — each with a fact_id back to the filing — plus a true restatement vintage for backtesting.
Outcomes that matter
What you actually get done — not just a feature checklist.
| The job | Valuein | Calcbench |
|---|---|---|
| Deep footnote / inline XBRL | Standardized concepts + audited ratios | Strong inline XBRL extraction |
| Programmatic & agent access | SDK + Bulk API + agent-safe MCP | Web tool first; API available |
| Backtest that survives out-of-sample | Restatement vintage + all delisted | Snapshot PIT, active-company focus |
| Time to first query | Self-serve — minutes | Custom enterprise onboarding |
Feature Comparison
| Feature | Valuein | Calcbench |
|---|---|---|
| Pricing | $0–$49–$499/month | Custom enterprise pricing |
| Point-in-Time | Restatement vintage (accepted_at) | Snapshot-based PIT |
| Survivorship Bias | All delisted companies, all history | Active companies primary focus |
| AI Agent Access | Agent-safe MCP + 22 SOPs | No MCP / agent surface |
| Format | Columnar Parquet — DuckDB/Spark native | Web tool, JSON/CSV endpoints |
Calcbench details and pricing are based on publicly available information as of June 2026 and may have changed — verify on their site. Where a competitor's figure is vendor-reported or estimated, we say so.
Where Calcbench is stronger
- Calcbench has stronger inline XBRL extraction for detailed 10-Q footnotes
- Calcbench covers more derived disclosure detail out-of-the-box for human analysts
Best for
Quants and engineers who need clean, point-in-time time-series fundamentals in Parquet with programmatic and AI-agent access, rather than an analyst web tool.
Start comparing today
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