# Anonyflow AI integration on Definable

> AnonyFlow offers a simple and powerful service for encryption-based data anonymization and community sharing, enabling GDPR, CCPA, and HIPAA data privacy protection compliance.

## What this connects

AnonyFlow offers a simple and powerful service for encryption-based data anonymization and community sharing, enabling GDPR, CCPA, and HIPAA data privacy protection compliance.

Vendor: https://anonyflow.com

## Tools available

**5** tools available. First 5:

- `ANONYFLOW_ANONYMIZE_PACKET` — Anonymize Packet — Tool to anonymize a JSON data packet with support for partial anonymization. Use when you need to conceal specific fields in structured data. If keys array is empty, the complete data packet will be anonymized.
- `ANONYFLOW_ANONYMIZE_VALUE` — Anonymize Value — Tool to anonymize a string or array of string values. Use when you need to conceal sensitive text before storage or transmission. Example: `AnonymizeValue().execute(AnonymizeValueRequest(data=['secret']))` Limitations: Only supports list of strings, not nested structures.
- `ANONYFLOW_DEANONYMIZE_PACKET` — Deanonymize Packet — Tool to deanonymize a JSON data packet using your private key. Use after receiving an anonymized packet to recover specific fields.
- `ANONYFLOW_DEANONYMIZE_VALUE` — Deanonymize Value — Tool to deanonymize one or more anonymized string values. Use when you need to recover the original plaintext values after encryption-based anonymization. Example: `DeanonymizeValue().execute(DeanonymizeValueRequest(data=["<anonymized_string>"]))`
- `ANONYFLOW_TEST_CONNECTION` — Test Connection — Tool to test the connection to the AnonyFlow API. Use when verifying that the AnonyFlow service is reachable and operational before performing anonymization tasks. Example: `TestConnection().execute(TestConnectionRequest())`

## Auth

Auth schemes: `API_KEY`.

## How agents use Anonyflow

Inside a Definable workflow, Anonyflow is one of the tools the **Distributor specialist** can call. Example coordination patterns:

- **Researcher → Anonyflow** — the Researcher (GPT-5.5) pulls context from Anonyflow (records, threads, documents), synthesises findings, and briefs the rest of the team.
- **Writer → Distributor → Anonyflow** — the Writer (Claude Opus 4.7) drafts copy in brand voice, the Verifier passes it, then the Distributor writes the result into Anonyflow (create record, post message, draft email).
- **Designer / Engineer → Distributor → Anonyflow** — the Designer ships an asset or the Engineer ships a code change, the Distributor delivers it via Anonyflow (attach file, open PR comment, post status).

The Verifier checks every Anonyflow call. On rate limit, schema drift, or auth refresh it self-heals and retries — the workflow completes without manual intervention.

## Categories

- security & identity tools — https://definable.ai/apps/category/security-&-identity-tools/

## Related

- HTML page: https://definable.ai/apps/anonyflow/
- Same category (security & identity tools): https://definable.ai/apps/category/security-&-identity-tools/
- All integrations: https://definable.ai/apps/
- Workflow (multi-agent loop): https://definable.ai/workflow/
- Apps llms.txt index: https://definable.ai/llms-apps.txt