A wrong mapping is worse than an honest gap.
Crossary turns messy source and target specs into a reviewed, implementation-ready mapping workbook — every row backed by its exact source quote, every uncertain one flagged for you. It maps the spec, not the data. Nothing moves until you sign off.
3 integration credits free · no card · your mappings never train a shared model.
If you hand-build the mapping sheet someone else implements — this is for you.
A strict five-stage pipeline.
Then a round-trip.
Upload to signed workbook in five steps — and back again, without losing a note.
Drop in your source + target specs. If a file can't be fully read, it tells you exactly how much it dropped.
xlsx · pdf · csv · json · xml · xsd · sql · yaml
A field inventory is extracted from both sides — every path, every column — so you map against the real surface.
For each target: a proposed source, type, verbatim evidence, reasoning, and confidence. Abstains when unsure.
A deterministic check for structural & cardinality blockers. Zero AI, zero spend.
A signed .xlsx your team can open anywhere — that reconciles cleanly when it comes back.
Six things every row tells you.
Nothing taken on faith.
Open any proposed mapping and you see exactly why the AI suggested it — and how sure it says it is. The evidence, not the confidence, is the product.
to_date(S_SHIP_DATE)The honest gap it won't guess —
and the round-trip that holds.
The real sample, end to end: where the AI withdraws a tempting guess and asks instead, and where your edits survive a trip through Excel and back.
When it isn't sure, it says so.
confidence: none · no guess
Every mapping you approve makes the next one faster.
Sign off an export and your approved field-pairs become a private, workspace-scoped library. On the next run it gap-fills only the targets the AI abstained on — inserted as suggestions you still review, never auto-applied.
- Scoped to your workspace — it never crosses to another.
- Captures the decision only — no evidence, values, or client data.
- It never trains a shared model.
Trust isn't asked for here — it's enforced in code, and written down.
If more than ~10% of a source is dropped during ingestion, it stays flagged — in the app and on the export cover sheet. A partial read is never reported as complete.
Validation is deterministic and checks structure and cardinality only. It does not claim semantic correctness — and the UI says exactly that.
On re-import it applies what matched, skips what changed underneath you, and turns every reviewer note into a tracked question. Nothing is silently overwritten.
Every AI response is checked against a strict schema before it can touch your data. A malformed result is thrown away, never persisted.
Crossary maps from your source and target specs — schemas, dictionaries, guides. It's built to work from the spec, not your data, so in most cases there's no need to upload production records or PII.
Start free. Pay for AI runs, never for reviewing.
Reviewing, validating, exporting, and round-trip re-import don't call the AI — so they're always free, on every plan.
For your first real integration.
Start free- 3 integration credits
- Free review, validate & export
- Round-trip re-import
- Mapping Memory included
- 1 workspace · up to 2 members
~20 integrations a month.
Start with Pro- Everything in Free
- ~20 integration credits / mo
- Higher-accuracy pass
- Unused credits roll over
- 3 workspaces · up to 3 members
~75 integrations a month.
Start with Team- Everything in Pro
- ~75 integration credits / mo
- Unlimited workspaces · up to 10 members
Plus applicable taxes.
Run out? Existing work is never blocked — review, validate, export & re-import stay free. Unused credits roll over, you can buy more anytime, or upgrade. Only new AI runs pause.
The honest answers, before you sign up.
Roughly one standard integration. Higher Accuracy and unusually large or heavily re-run jobs use more — and you can see what each integration cost.
Reviewing, validating, exporting, and round-trip re-import. They don't call the AI, so they never use a credit.
Every plan gets the same core mapping quality. Higher Accuracy — an optional, heavier pass — is on paid plans; Mapping Memory is included on every plan.
Existing work is never blocked — review, validate, export and re-import stay free. Unused credits roll over, you can buy more anytime, or upgrade. Only new AI runs pause.
Click subscribe on the plan you want — secure checkout, and your plan activates immediately.
No. Mapping Memory is scoped to your workspace and never crosses it; no shared model learns from your mappings.
Map your first integration
in the next ten minutes.
Upload a source and a target spec. Get back a reviewed, evidence-backed workbook — with every honest gap flagged for you.
3 integration credits free · no card · no lock-in.