Axiora vs Crossary: Which is Better in 2026?
A comprehensive comparison of Axiora and Crossary covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Axiora if:
- →You need a broader feature set (6 features vs 5)
- →You need every figure links back to the official filing and document id it came from or entity resolution across kanji, katakana and latin name variants and spvs
Choose Crossary if:
- →You want more affordable paid plans (from $99/mo)
- →You need every mapped row carries a verbatim source quote with sheet and row reference or abstains and flags an honest gap rather than guessing an uncertain mapping
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Axiora vs Crossary: At a Glance
Pricing Comparison: Axiora vs Crossary
Understanding the pricing differences between Axiora and Crossary is crucial for making the right choice. Here's how their plans compare side by side.
💡 Pricing takeaway: Both Axiora and Crossary offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Axiora and Crossary stacks up.
What Makes Each Tool Unique
🔵 Unique to Axiora
Features available in Axiora but not in Crossary:
- ✓Every figure links back to the official filing and document id it came from
- ✓Entity resolution across kanji, katakana and Latin name variants and SPVs
- ✓Activist tracker, unwinding scoreboards and accumulation trajectories
- ✓MCP server exposing 40+ tools for AI agents
- ✓Typed Python SDK and OpenBB Workspace integration on every tier
- ✓Webhook filing alerts and bulk Parquet export on higher tiers
🟣 Unique to Crossary
Features available in Crossary but not in Axiora:
- ✓Every mapped row carries a verbatim source quote with sheet and row reference
- ✓Abstains and flags an honest gap rather than guessing an uncertain mapping
- ✓Deterministic validation pass for structural and cardinality blockers, zero AI spend
- ✓Signed .xlsx export editable in Excel, Sheets or Numbers and re-importable
- ✓Reads xlsx, pdf, csv, json, xml, xsd, sql and yaml specifications
Use Case Recommendations
Best for: Axiora
Axiora is a financial data API for Japanese equities where every figure traces back to the source filing it came from, so analysts can cite their work and AI agents can compute instead of guess. Its hardest problem is entity resolution. Japanese disclosure has no common identifier linking a holder across filings: the same investor files through funds, SPVs and offshore vehicles, and the names drift across kanji, katakana and Latin script, so in the public record each vehicle looks like an unrelated small holder. The worked example the company publishes is Toyo Engineering (6330), where sixty separately-filed names resolved to one holder and revealed a coordinated −28.48 percentage-point exit — a stake unwound from 32.72% to 4.24% across fourteen amendments, with the source document ids listed so you can check it. Coverage spans annual, semi-annual and quarterly reports, filing sections with translations, time-series with growth and CAGR, screening, rankings and comparison, company search, ratios and sectors, a filing list and calendar, health scores, buybacks, shareholdings above the 5% disclosure threshold, board composition and AGM voting, and earnings actuals and forecasts. The ownership-intelligence layer adds accumulation trajectories, an activist tracker, unwinding scoreboards, a capital-allocation classifier, a subsidiaries and relationship graph and a per-row purpose audit bundle. Developer surface is strong: an MCP server exposing 40+ AI tools, a typed Python SDK, OpenBB Workspace integration and webhook filing alerts.
Ideal use cases:
- •Teams or individuals who need every figure links back to the official filing and document id it came from
- •Teams or individuals who need entity resolution across kanji, katakana and latin name variants and spvs
- •Teams or individuals who need activist tracker, unwinding scoreboards and accumulation trajectories
- •Teams or individuals who need mcp server exposing 40+ tools for ai agents
- •Anyone focused on financial-data workflows
- •Anyone focused on api workflows
Best for: Crossary
Crossary produces source-to-target field mapping workbooks for integration and migration work, and its governing principle is that a wrong mapping is worse than an honest gap. You upload the source and target specifications in whatever form they exist — xlsx, pdf, csv, json, xml, xsd, sql or yaml — and a strict five-stage pipeline runs: artifacts are ingested and, if a file cannot be fully read, it tells you exactly how much it dropped; a field inventory is extracted from both sides so you map against the real surface rather than a summary; each target field gets a proposed source, a mapping type, verbatim evidence quoted from the source spec with its sheet and row, the reasoning and assumptions behind the proposal, and a confidence level, abstaining rather than guessing when there is no clear source; a deterministic validation pass checks structural and cardinality blockers with no AI and no spend; and export produces a signed .xlsx. The round trip is the part that makes it usable in a real engagement: the export is an ordinary workbook, not a locked app view, so a developer or client can edit decisions and add notes in Excel, Google Sheets or Numbers without a Crossary login, and on re-import it applies what matched, skips rows that moved underneath it rather than overwriting them, and turns every note into a tracked question. Reviewing, validating, exporting and re-importing never call the AI and are free forever on every plan.
Ideal use cases:
- •Teams or individuals who need every mapped row carries a verbatim source quote with sheet and row reference
- •Teams or individuals who need abstains and flags an honest gap rather than guessing an uncertain mapping
- •Teams or individuals who need deterministic validation pass for structural and cardinality blockers, zero ai spend
- •Teams or individuals who need signed .xlsx export editable in excel, sheets or numbers and re-importable
- •Anyone focused on data-migration workflows
- •Anyone focused on integration workflows
📊 Other Data & Analytics Tools to Consider
Axiora and Crossary aren't the only options. Here are other popular tools in the same space:
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Akkio
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MindsDB
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Obviously AI
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Julius AI
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Is one of these your tool?
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Frequently Asked Questions
Is Axiora better than Crossary?
It depends on your needs. Axiora offers 6 key features including Every figure links back to the official filing and document id it came from and Entity resolution across kanji, katakana and Latin name variants and SPVs, while Crossary provides 5 features including Every mapped row carries a verbatim source quote with sheet and row reference and Abstains and flags an honest gap rather than guessing an uncertain mapping. Axiora uses a freemium model with a free tier, while Crossary is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Axiora cheaper than Crossary?
Crossary is cheaper, starting at $99/month compared to Axiora's $199/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Axiora and Crossary together?
Yes, many users combine Axiora and Crossary in their workflow. Axiora excels at every figure links back to the official filing and document id it came from, while Crossary shines with every mapped row carries a verbatim source quote with sheet and row reference. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Axiora and Crossary?
While both are data & analytics tools, Axiora emphasizes every figure links back to the official filing and document id it came from, whereas Crossary is known for every mapped row carries a verbatim source quote with sheet and row reference. The best choice depends on your specific workflow and feature priorities.
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