Data2CRM.API

Name: Data2CRM.API
Brand: Data2CRM.API
Availability: InStock

✓ Official Vendor SpecCRMContact ManagementapiKey360 EndpointsREST

For Agents

Read and write across many CRMs through a single unified surface — manage accounts, contacts, leads, opportunities, tasks, and more without per-CRM integration code.

Install Jentic One Beta

Connect the Data2CRM.API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Data2CRM.API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Data2CRM.API.

Create, read, update, and delete records across accounts, contacts, leads, and opportunities through a unified surface

Run bulk insert, update, and delete operations on CRM entities for one-shot migrations and syncs

Count records and describe entity schemas to drive dynamic CRM-aware UIs

GET STARTED

Start building with Data2CRM.API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Data2CRM.API for, with concrete tasks.

★ CRM Migration

Migrate accounts, contacts, leads, opportunities, and supporting records between two CRMs without writing per-CRM clients. The bulk POST and PUT endpoints under /application/entity/{resource}/bulk accept array payloads, and /describe endpoints report the target schema. Suitable for consultancies and data teams running one-time migrations between Salesforce, Zoho, and similar systems.

Read all accounts from CRM A via GET /application/entity/account/list, transform the records to the target CRM schema, and bulk insert them via POST /application/entity/account/bulk into CRM B.

Multi-CRM Productized Integration

Ship a single integration that supports many CRMs by swapping the application key rather than maintaining per-vendor SDKs. Each CRM is accessed through the same /application/entity/{resource} URL pattern with consistent CRUD, bulk, count, and describe operations. Useful for SaaS products that integrate with their customers' CRMs.

Detect the customer's connected CRM, then call POST /application/entity/contact with the same payload shape regardless of whether the target is Salesforce or Zoho.

Two-Way CRM Sync

Sync core CRM records between an external system of record (e.g. a marketing platform) and the customer's CRM in both directions. The list, count, and bulk endpoints support polling and reconciliation flows for accounts, contacts, leads, opportunities, and tasks. Useful for marketing automation and customer-success platforms keeping CRM data current.

Every 30 minutes, fetch updated leads from the marketing platform and push changes via PUT /application/entity/lead/bulk while pulling new leads from the CRM via GET /application/entity/lead/list.

Schema-Aware CRM Tooling

Render dynamic forms and field pickers that adapt to whichever CRM the customer has connected by reading entity schemas at runtime. The /describe endpoints return the field definitions for each entity, allowing tools to surface the right fields without hard-coded per-CRM logic. Useful for low-code builders and admin consoles.

Call GET /application/entity/account/describe to retrieve account fields for the connected CRM, then render a dynamic form for the user to create a new account.

Agent-Driven CRM Workflows via Jentic

AI agents that operate across multiple customer CRMs can call Data2CRM.API through Jentic without juggling each customer's pair of API keys. The agent searches Jentic for the relevant intent, loads the schema, and executes a CRM operation while the user and application keys stay in the Jentic vault. This keeps CRM credentials isolated per tenant.

Use Jentic to search 'create a crm contact', load POST /application/entity/contact, and execute it with the contact details from the user's request.

Key Endpoints

360 endpoints — data2crm.

METHOD

PATH

DESCRIPTION

POST

/application/entity/account

Create an account record

GET

/application/entity/account/list

List account records

POST

/application/entity/account/bulk

Bulk-create account records

PUT

/application/entity/account/bulk

Bulk-update account records

DELETE

/application/entity/account/bulk

Bulk-delete account records

GET

/application/entity/account/describe

Describe the account entity schema

GET

/application/entity/account/count

Count account records matching a filter

POST

/application/entity/account

Create an account record

GET

/application/entity/account/list

List account records

POST

/application/entity/account/bulk

Bulk-create account records

PUT

/application/entity/account/bulk

Bulk-update account records

DELETE

/application/entity/account/bulk

Bulk-delete account records

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Data2CRM's user and application API keys sit encrypted in the Jentic vault and are injected into the X-API2CRM-USER-KEY and X-API2CRM-APPLICATION-KEY headers at call time. The raw header values never enter the agent's context.

Intent-based discovery

Agents search by intent (e.g. 'create a crm contact') and Jentic returns the matching POST /application/entity/contact operation with its input schema, so the agent calls the right endpoint without scrolling 360 endpoints in the Data2CRM docs.

Time to first call

Direct Data2CRM integration: 3-7 days to model 360 endpoints and per-CRM quirks. Through Jentic: under 1 hour to call any of the wrapped operations.

FAQs

Specific to using Data2CRM.API through Jentic.

What authentication does the Data2CRM.API use?

Data2CRM.API uses two API keys sent as headers — X-API2CRM-USER-KEY identifies the calling user and X-API2CRM-APPLICATION-KEY identifies the connected CRM application. Through Jentic both keys are held in the vault and injected into outbound requests so neither enters the agent's context.

Can I bulk-import contacts with Data2CRM.API?

Yes. POST /application/entity/contact/bulk accepts an array of contact records and inserts them into the connected CRM in one call, while PUT /application/entity/contact/bulk performs bulk updates and DELETE handles bulk removal.

What are the rate limits for Data2CRM.API?

Limits are governed by the underlying CRM rather than Data2CRM directly — Salesforce and Zoho impose their own per-org limits. Apply backoff on 429 responses and prefer bulk endpoints over per-record loops to stay under the wrapped CRM's quota.

How do I describe a CRM entity through Jentic?

Run pip install jentic, then search Jentic for 'describe a crm entity', load the GET /application/entity/{resource}/describe schema, and execute it with the resource name (account, contact, lead, etc.). The response includes the field definitions for the connected CRM.

Which CRMs does Data2CRM.API support?

Data2CRM.API targets the major CRMs — Salesforce, Zoho, Pipedrive, and others — through a single REST surface. The connected CRM is selected by the X-API2CRM-APPLICATION-KEY value, so the same endpoint paths route to the chosen system.

Does Data2CRM.API support count and search operations?

Yes. Each entity exposes /count for filter-based record counts and /list with query parameters for filtered retrieval, both used heavily in sync and reconciliation pipelines.

Data2CRM.API

Connect the Data2CRM.API to your agent

Capabilities

Start building with Data2CRM.API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs