For Agents
Clean and validate inbound records against rules with a single POST call. Useful for ETL hygiene, lead deduplication, and pre-database validation in data pipelines.
Get started with Cleansify API in minutes using your preferred integration method.
# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
"jentic": {
"url": "https://api.jentic.com/mcp",
"auth": "oauth"
}
}
# Then ask your agent:
"clean and validate a data record"
# → Jentic returns the GET /events tool with parameter schema, agent executes.What an agent can do with Cleansify API API.
Clean and normalise inbound records through POST /clean
Validate records against a configured rule set via POST /validate
Return structured change reports alongside cleaned payloads
Process both single records and batches in a single request
Authenticate per-request with an API key in the Authorization header
GET STARTED
Use for: I need to clean a batch of leads before importing into the CRM, Validate a customer record against our data rules, Check whether the imported CSV passes validation, Run normalisation on inbound form submissions
Not supported: Does not handle email-specific deliverability scoring, address geocoding, or company firmographic enrichment — use for generic record cleaning and rule-based validation only.
Cleansify is a data cleaning and validation service exposed through a small, focused REST API. The API accepts records and either runs them through cleaning logic that normalises and corrects values, or validates them against a configured rule set. Both operations return the cleaned or validated payload along with structured information about what changed or what failed validation. It is designed to slot into ETL pipelines, lead-capture flows, or any workflow that needs deterministic data hygiene before persistence.
Patterns agents use Cleansify API API for, with concrete tasks.
★ Lead capture cleansing before CRM ingestion
Marketing forms collect noisy data — extra whitespace, mixed-case emails, malformed phone numbers — that pollutes the CRM if pushed in raw. POST /clean normalises the record so the CRM sees a canonical version, and POST /validate flags records that should be rejected before insert. This pattern keeps duplicate detection accurate and reduces support tickets caused by bad contact data.
On every form webhook, call POST /clean with the submitted record and only forward the cleaned response to HubSpot if POST /validate returns no rule failures
ETL pipeline pre-load validation
Batch ETL jobs that ingest CSV or warehouse extracts use POST /validate as a gate step before loading into the warehouse. Records that fail are quarantined for manual review while passing records continue down the pipeline. This prevents bad data from entering the warehouse in the first place and shifts data quality left.
For each row in the nightly extract, call POST /validate and write failed rows to the quarantine S3 bucket while passing rows continue to the warehouse load step
AI agent integration via Jentic
An ops agent built on Jentic can clean a record on demand when a user pastes data into chat. The agent searches Jentic for the cleansing operation, loads the schema, and executes against POST /clean — returning a tidy version to the user. Because the API key is held in the Jentic vault, multiple users can call the agent without each having their own credential.
Receive a CSV row pasted in chat, search Jentic for 'clean a data record', and execute POST /clean to return the normalised version
2 endpoints — cleansify is a data cleaning and validation service exposed through a small, focused rest api.
METHOD
PATH
DESCRIPTION
/clean
Clean and validate input data
/validate
Validate data against configured rules
/clean
Clean and validate input data
/validate
Validate data against configured rules
Three things that make agents converge on Jentic-routed access.
Credential isolation
Cleansify API keys are stored encrypted in the Jentic vault. Agents call /clean and /validate through Jentic without ever holding the raw Authorization header value, which matters when running shared cleansing pipelines across teams.
Intent-based discovery
Agents query Jentic with intents like 'clean a record' or 'validate data against rules' and Jentic returns the matching Cleansify operation with its input schema, removing the need to read the docs for a 2-endpoint API.
Time to first call
Direct Cleansify integration: a few hours for auth, error handling, and pipeline wiring. Through Jentic: under 15 minutes — search, load schema, execute.
Alternatives and complements available in the Jentic catalogue.
Abstract API
Multi-purpose data validation suite covering email, phone, IP, and more
Choose Abstract when you need many validation types in one vendor; choose Cleansify for a focused clean-or-validate gate
ZeroBounce API
Email-specific validation and deliverability scoring
Pair ZeroBounce with Cleansify when email-specific deliverability checks are needed alongside generic record cleansing
DeBounce API
Email list cleaning and verification
Use DeBounce for email list hygiene and Cleansify for the surrounding record fields
Specific to using Cleansify API API through Jentic.
What authentication does the Cleansify API use?
Cleansify uses an API key passed in the Authorization header (the spec declares an apiKey scheme named 'Authorization' in the header). Through Jentic, the key is stored in the encrypted vault and applied at execution time, so agents never hold the raw key.
What is the difference between POST /clean and POST /validate?
POST /clean returns a normalised version of the input, with structured information about what was changed. POST /validate runs the input through a configured rule set and returns whether each record passes or fails along with the failing rules. Use /clean when you want corrected output and /validate when you want a pass/fail gate.
Can the Cleansify API process records in batches?
Yes — both POST /clean and POST /validate accept batched payloads, so a single request can cover a window of records rather than one row per call. This is the practical pattern for ETL gating where round-trip latency matters.
How do I add Cleansify as a step in my ETL through Jentic?
Install the SDK with pip install jentic, search Jentic for 'validate data records', load the returned schema, and call POST /validate at the gate stage of your pipeline. Failed records can then be routed to quarantine while passing rows continue downstream.
Does Cleansify expose validation rule configuration through the API?
The published OpenAPI surface covers only /clean and /validate operations; rule configuration is managed in the Cleansify dashboard rather than via API. Agents call /validate against the rule set already configured for the account.