Is AdaptivMapr a drop-in Flatfile replacement?

No. AdaptivMapr is a healthcare-aware schema-mapping engine. It is a better fit than Flatfile when your imports involve PHI, FHIR, or multilingual clinical vocabulary, and a worse fit for generic B2B onboarding where Flatfile has years of UX polish.

Do I need a separate BAA to use AdaptivMapr?

Schema-only mode minimizes data exposure — only headers and up to three truncated sample rows are processed. A DPA/BAA may still be required depending on the data, and mapr provides one on request. In full-data mode the BAA is inherited; there is no separate vendor-specific contract.

How does pricing compare to Flatfile?

AdaptivMapr is pay-as-you-go on a prepaid token wallet (from $10, shared across our suite) — no free tier, no subscription. Every map draws a small flat fee (~$0.001), including deterministic maps; AI cleanup, convert and reshape bill the AI tokens they use at provider cost × 2 (× 0.5 with your own key). Full-data/PHI routes through our BAA-covered infrastructure. Flatfile prices per-workspace at an enterprise floor.

What if my use case is not healthcare?

Then Flatfile is probably the right tool. We do not try to out-polish them on generic CSV import — the AdaptivMapr wedge is FHIR-aware templates, BAA inheritance, and multilingual clinical hints.

Does AdaptivMapr work inside Cursor or Claude Desktop?

Yes. Run npx -y @adaptivmapr/mcp-server and the schema-only tools register without any API key. Full-data tools (full-file LLM cleanup, webhook commit, direct-to-DB) require an active AdaptivMapr (PHI) entitlement.

Flatfile alternative

AdaptivMapr is the healthcare-aware Flatfile alternative.

Flatfile is enterprise CSV import platform — generic, mature, broad ecosystem. We are not pretending otherwise. AdaptivMapr’s wedge is narrower and sharper: data-minimized schema-only mode, FHIR-aware healthcare templates with multilingual hints, and a BAA posture that comes from an inherited BAA rather than negotiating a vendor-specific one.

If your import path touches PHI, FHIR, or multilingual clinical data, the trade is worth running. If it does not, stay on Flatfile.

Talk to migration Try in MCP →View pricing →

Where Flatfile wins

Mature embed and theming for generic B2B SaaS onboarding
Broad ecosystem of integrations and SDKs
Years of polish on generic CSV import UX

Where AdaptivMapr wins

Schema-only mode, minimal data exposure (DPA/BAA on request) — drop it in front of every prospect
inherited BAA coverage instead of vendor-specific negotiation
FHIR-aware healthcare templates with multilingual hints out of the box

Side by side

Flatfile vs AdaptivMapr

Only the rows where the answer is clear. If a comparison is ambiguous we have left it out rather than guess.

Capability	Flatfile	AdaptivMapr
Pricing floor	Enterprise floor; per-workspace contracts	Prepaid token wallet from $10 (no free tier, no subscription). A small flat fee per map (~$0.001); AI cleanup bills AI tokens at provider cost × 2 (× 0.5 with your own key).
MCP server (Cursor, Claude Desktop)	Not shipped	@adaptivmapr/mcp-server — schema-only tools need no key, no signup
Schema-only mode (minimal data exposure)	Not a documented mode	Default. Only headers + ≤3 sample rows ever leave the caller
Healthcare templates with BAA path	DIY — generic schema builder	10 templates (Patient, Observation, Medication, Claim.item, Coverage, Practitioner, Appointment, …) with inherited BAA coverage
FHIR resource emit	Not built-in	Templates emit FHIR resources where applicable
Learns from per-tenant corrections	Per-workspace synonyms, manually curated	Cascade auto-accept at {minN:100, minRatio:0.95} and {minN:20, minRatio:1.00} from prod corrections
Multilingual healthcare hints	EN-first, custom synonyms per tenant	DE / FR / IT / EN / ES on every healthcare field, shipped
Regulated-data validators	Generic regex / range	IBAN, BIC, GTIN, LOINC, ICD-10, ATC, CPT, NPI, GLN as first-class validators
Replaces Flatfile for generic B2B CSV import	Yes — that is the core use case	Not the wedge. Use Flatfile for non-regulated flows.

The switch

Why dev teams switch from Flatfile

Dev teams move off Flatfile to AdaptivMapr for one specific reason: the import path touches PHI, FHIR, or multilingual clinical data and Flatfile is being asked to be something it was not designed to be — a healthcare-aware schema engine. Flatfile is a strong generic importer. AdaptivMapr is a narrow healthcare-aware engine with a built-in compliance posture. If your roadmap is patient demographics, lab catalogs, drug formularies, claims line items, and provider directories, you are doing per-tenant synonym curation on Flatfile that ships in our templates by default. If your roadmap is generic B2B onboarding, Flatfile keeps the lead.

When Flatfile is actually the right call

Flatfile is better if you need its mature embed theming, its non-healthcare template library, or its ecosystem integrations. Its workspace model has years of production hardening. We are not pretending to out-polish that. We are saying that the healthcare wedge — FHIR emit, BAA inheritance, multilingual clinical vocabulary — is not where Flatfile spends its roadmap, and customers feel that gap once their use case crosses into PHI.

Migration

Migration walkthrough

A typical Flatfile-to-AdaptivMapr migration takes a day for a focused healthcare schema and a week for a portfolio of templates. Export your existing Flatfile schema as JSON. Map each Flatfile field to either an existing AdaptivMapr template (most healthcare-shaped fields already exist — AHV, NPI, LOINC, ICD-10, ATC, GTIN) or to a custom field in a new template. Drop the AdaptivMapr widget into your existing import flow with the same template ID. Run the cascade in dry-run mode against a fixture file; it will tell you which columns auto-accept (stats + heuristic, no AI) and which need LLM. Then point your production traffic at the new endpoint with a feature flag and watch the per-row outcomes in Chainlog.

30-second equivalence

Before · Flatfile

// Before — Flatfile workspace
flatfile.openPortal({
  workbookId: 'wb_abc',
  spaceId: 'spc_xyz',
  themeConfig: { /* … */ },
})

After · AdaptivMapr

// After — AdaptivMapr (drop-in, healthcare-aware)
import { AdaptivMaprImport } from '@adaptivmapr/react'

<AdaptivMaprImport
  templateId="patient_demographics"
  mode="schema-only"
  onCommit={(rows) => fetch('/api/intake', { method: 'POST', body: JSON.stringify(rows) })}
/>

// Or via MCP, zero install:
// npx -y @adaptivmapr/mcp-server

FAQ

Questions, answered

Is AdaptivMapr a drop-in Flatfile replacement?: No. AdaptivMapr is a healthcare-aware schema-mapping engine. It is a better fit than Flatfile when your imports involve PHI, FHIR, or multilingual clinical vocabulary, and a worse fit for generic B2B onboarding where Flatfile has years of UX polish.
Do I need a separate BAA to use AdaptivMapr?: Schema-only mode minimizes data exposure — only headers and up to three truncated sample rows are processed. A DPA/BAA may still be required depending on the data, and mapr provides one on request. In full-data mode the BAA is inherited; there is no separate vendor-specific contract.
How does pricing compare to Flatfile?: AdaptivMapr is pay-as-you-go on a prepaid token wallet (from $10, shared across our suite) — no free tier, no subscription. Every map draws a small flat fee (~$0.001), including deterministic maps; AI cleanup, convert and reshape bill the AI tokens they use at provider cost × 2 (× 0.5 with your own key). Full-data/PHI routes through our BAA-covered infrastructure. Flatfile prices per-workspace at an enterprise floor.
What if my use case is not healthcare?: Then Flatfile is probably the right tool. We do not try to out-polish them on generic CSV import — the AdaptivMapr wedge is FHIR-aware templates, BAA inheritance, and multilingual clinical hints.
Does AdaptivMapr work inside Cursor or Claude Desktop?: Yes. Run npx -y @adaptivmapr/mcp-server and the schema-only tools register without any API key. Full-data tools (full-file LLM cleanup, webhook commit, direct-to-DB) require an active AdaptivMapr (PHI) entitlement.

Next step