diff --git a/docs/src/c-api.md b/docs/src/c-api.md
index 5a7f0f7c..740e655a 100644
--- a/docs/src/c-api.md
+++ b/docs/src/c-api.md
@@ -1,28 +1,95 @@
 # C API
 
-## Operator
+## Custom Node
 
-The operator API gives you a framework for operator that is going to be managed by `dora`. This framework enable us to make optimisation and provide advanced features.
+The custom node API allow you to integrate `dora` into your application. It allows you to retrieve input and send output in any fashion you want. 
+
+#### `init_dora_context_from_env`
+
+`init_dora_context_from_env` initiate a node from environment variables set by `dora-coordinator` 
+
+```c
+void *dora_context = init_dora_context_from_env();
+```
+
+#### `dora_next_input` and `read_dora_input_data`
+
+`dora_next_input` and `read_dora_input_data` gives you the next input received.
 
+```c
+void *input = dora_next_input(dora_context);
+
+char *data;
+size_t data_len;
+read_dora_input_data(input, &data, &data_len);
+```
+
+#### `dora_send_output`
+
+`dora_send_output` send data from the node.
+
+```c
+char out_id[] = "tick";
+dora_send_output(dora_context, out_id, strlen(out_id), &i, 1);
+```
 ### Try it out!
 
-- Create an `operator.c` file:
+- Create an `node.c` file:
 ```c
-{{#include ../../examples/c-operator/operator.c}}
+{{#include ../../examples/c-dataflow/node.c}}
 ```
 
-- Copy `operator.h` header file:
+{{#include ../../examples/c-dataflow/README.md:26:35}}
+
+
+## Operator
+
+The operator API gives you a framework for operator that is going to be managed by `dora`. This framework enable us to make optimisation and provide advanced features.
+
+The operator definition is composed of 3 functions, `dora_init_operator` that initialise the operator and its context. `dora_drop_operator` that free the memory, and `dora_on_input` that action the logic of the operator on receiving an input.
+
+```c
+int dora_init_operator(void **operator_context)
+{
+    void *context = malloc(1);
+    char *context_char = (char *)context;
+    *context_char = 0;
+
+    *operator_context = context;
+
+    return 0;
+}
+
+void dora_drop_operator(void *operator_context)
+{
+    free(operator_context);
+}
 
-```bash
-cp apis/c/operator/api.h .
+int dora_on_input(
+    const char *id_start,
+    size_t id_len,
+    const char *data_start,
+    size_t data_len,
+    const int (*output_fn_raw)(const char *id_start,
+                               size_t id_len,
+                               const char *data_start,
+                               size_t data_len,
+                               const void *output_context),
+    void *output_context,
+    const void *operator_context)
+{
+  ...
+}
 ```
+### Try it out!
 
-- And compile your C operator:
-```bash
-clang -c operator.c
-clang -shared -v operator.o -o operator.so -fPIC
+- Create an `operator.c` file:
+```c
+{{#include ../../examples/c-dataflow/operator.c}}
 ```
 
+{{#include ../../examples/c-dataflow/README.md:40:46}}
+
 - Link it in your graph as:
 ```yaml
 {{#include ../../binaries/coordinator/examples/mini-dataflow.yml:47:52}}
diff --git a/docs/src/python-api.md b/docs/src/python-api.md
index 248ce03f..d37c36a5 100644
--- a/docs/src/python-api.md
+++ b/docs/src/python-api.md
@@ -2,7 +2,37 @@
 
 ## Cutom Node
 
-The custom node API allow you to integrate `dora` into your application. It allows you to retrieve input and send output in any fashion you want. 
+The custom node API allow you to integrate `dora` into your application. It allows you to retrieve input and send output in any fashion you want.  
+#### `Node()`
+
+`Node()` initiate a node from environment variables set by `dora-coordinator` 
+
+```python
+from dora import Node()
+
+node = Node()
+```
+
+#### `.next()` or `__next__()` as an iterator
+
+`.next()` gives you the next input that the node has received.
+
+```python
+input_id, value = node.next()
+
+# or
+
+for input_id, value in node:
+```
+
+#### `.send_output(output_id, data)`
+
+`send_output` send data from the node.
+
+```python
+node.send_output("string", b"string")
+```
+
 
 ### Try it out!
 
@@ -29,6 +59,19 @@ maturin develop
 
 The operator API gives you a framework for operator that is going to be managed by `dora`. This framework enable us to make optimisation and provide advanced features.
 
+An operator requires an `on_input` method and requires to return a `DoraStatus` of 0 or 1, depending of it needs to continue or stop.
+
+```python
+class Operator:
+    def on_input(
+        self,
+        input_id: str,
+        value: bytes,
+        send_output: Callable[[str, bytes], None],
+    ) -> DoraStatus:
+```
+
+> For Python, we recommend to allocate the operator on a single runtime. A runtime will share the same GIL with several operators making those operators run almost sequentially. See: [https://docs.rs/pyo3/latest/pyo3/marker/struct.Python.html#deadlocks](https://docs.rs/pyo3/latest/pyo3/marker/struct.Python.html#deadlocks)
 ### Try it out!
 
 - Create an operator python file called `op.py`:
diff --git a/docs/src/rust-api.md b/docs/src/rust-api.md
index 5680ae60..80b0165a 100644
--- a/docs/src/rust-api.md
+++ b/docs/src/rust-api.md
@@ -3,6 +3,29 @@
 ## Node
 
 The custom node API allow you to integrate `dora` into your application. It allows you to retrieve input and send output in any fashion you want. 
+#### `DoraNode::init_from_env()`
+
+`DoraNode::init_from_env()` initiate a node from environment variables set by `dora-coordinator` 
+
+```rust
+let node = DoraNode::init_from_env().await?;
+```
+
+#### `.inputs()`
+
+`.inputs()` gives you a stream of input that you can access using `next()` on the input stream.
+
+```rust
+let mut inputs = node.inputs().await?;
+```
+
+#### `.send_output(output_id, data)`
+
+`send_output` send data from the node.
+
+```rust
+node.send_output(&data_id, data.as_bytes()).await?;
+```
 
 ### Try it out!
 
@@ -42,6 +65,27 @@ time = "0.3.9"
 
 The operator API gives you a framework for operator that is going to be managed by `dora`. This framework enable us to make optimisation and provide advanced features.
 
+An operator requires to be registered and implement the `DoraOperator` trait, which is composed of an `on_input` method that defines the behaviour of the operator when there is an input.
+
+```rust
+use dora_operator_api::{register_operator, DoraOperator, DoraOutputSender, DoraStatus};
+
+register_operator!(ExampleOperator);
+
+#[derive(Debug, Default)]
+struct ExampleOperator {
+    time: Option<String>,
+}
+
+impl DoraOperator for ExampleOperator {
+    fn on_input(
+        &mut self,
+        id: &str,
+        data: &[u8],
+        output_sender: &mut DoraOutputSender,
+    ) -> Result<DoraStatus, ()> {
+```
+
 ### Try it out!
 
 - Generate a new Rust library