diff --git a/README.md b/README.md
index 3a730cf..45a9bc7 100644
--- a/README.md
+++ b/README.md
@@ -1,23 +1,20 @@
 # ibis-hotdata
 
-Experimental [Ibis](https://ibis-project.org/) backend for [Hotdata](https://www.hotdata.dev/docs/api-reference)—federated, Postgres-compatible SQL executed over HTTPS.
+Experimental [Ibis](https://ibis-project.org/) backend for [Hotdata](https://www.hotdata.dev/docs/api-reference): compile expressions with Ibis, run federated SQL over the Hotdata API. REST calls use the official **[hotdata](https://github.com/hotdata-dev/sdk-python)** Python SDK. Repo examples use **httpx** (listed under the **dev** dependency group).
 
-Hotdata exposes `POST /v1/query`, optional asynchronous execution (`202` + `GET /v1/query-runs/{id}` + `GET /v1/results/{id}`), and catalog metadata via `GET /v1/information_schema`. This package forwards compiled Ibis SQL through those endpoints.
+**Requirements:** Python 3.10+, **ibis-framework** 10.x, **hotdata** ≥0.1.
 
 ## Install
 
-**From PyPI** (pick your installer):
-
 ```bash
 uv pip install ibis-hotdata
-# or
-python -m pip install ibis-hotdata
+# or: python -m pip install ibis-hotdata
 ```
 
-Use Python **3.10+**. This package pins **`ibis-framework>=10,<11`** to match the Ibis major line.
-
 ## Connect
 
+Programmatic API:
+
 ```python
 import ibis
 
@@ -25,16 +22,16 @@ con = ibis.hotdata.connect(
     api_url="https://api.hotdata.dev",
     token="YOUR_API_TOKEN",
     workspace_id="ws_…",
-    session_id=None,  # optional sandbox: X-Session-Id
+    session_id=None,       # optional: X-Session-Id (sandbox)
     verify_ssl=True,
     timeout=120.0,
-    default_connection=None,  # Hotdata connection id (Ibis “catalog”); see below
-    default_schema=None,        # remote schema name (Ibis “database”)
-    prefer_async=False,         # set True to prefer async query submission
+    default_connection=None,  # Hotdata connection id → Ibis catalog
+    default_schema=None,      # remote schema → Ibis database
+    prefer_async=False,
 )
 ```
 
-### URL form
+URL style (token may live in the query string or the URL “password” segment):
 
 ```python
 con = ibis.connect(
@@ -42,122 +39,77 @@ con = ibis.connect(
 )
 ```
 
-The host becomes `https://{host}` (plus any path on the URL). You may place the token in the password segment (`hotdata://x:TOKEN@host/…`) instead of the query string.
-
-After `pip install`, both `ibis.hotdata.connect(...)` and `ibis.connect("hotdata://…")` resolve to this backend via the `ibis.backends` entry point.
-
-## Headers and sessions
-
-Per the [Hotdata API](https://www.hotdata.dev/docs/api-reference), the client sends:
-
-- `Authorization: Bearer <token>`
-- `X-Workspace-Id: <workspace_public_id>`
-- optionally `X-Session-Id: <sandbox_public_id>` when `session_id` is set.
-
-## Ibis identifiers vs Hotdata hierarchy
-
-Following Ibis terminology ([catalog → database → table](https://ibis-project.org/concepts/backend-table-hierarchy.qmd)), this backend maps:
-
-| Ibis surface | Hotdata meaning |
-|-------------|----------------|
-| **Catalog** | Connection **id** from `GET /v1/connections` (same identifier as `connection` on `information_schema` rows). |
-| **Database** | Remote **schema name** surfaced by Hotdata. |
-| **Table name** | Remote table name. |
-
-Typical federated references in SQL are `connection.schema.table` (quoted as needed):
-
-```python
-orders = con.table("orders", database=("conn_abc", "public"))
-```
-
-If the workspace exposes **exactly one** connection and **one** schema discovered for it, defaults are inferred; otherwise provide `default_connection` / `default_schema` when connecting.
-
-## SQL dialect and compilation
-
-The backend reuses Ibis’s **PostgreSQL SQLGlot compiler** (`postgres` dialect) so expressions compile to Postgres-oriented SQL aligned with Hotdata’s documented Postgres-style surface. Operational SQL details and federation edge cases belong in the [Hotdata SQL docs](https://www.hotdata.dev/docs/sql)—this client does not re-validate server capabilities.
-
-## Query execution and async
-
-- By default queries use synchronous `POST /v1/query` with `"async": false`.
-- With `prefer_async=True`, requests use `"async": true`. The HTTP client honors `202` by polling **`GET /v1/query-runs/{id}`** until `succeeded`, then **`GET /v1/results/{id}`** until tabular payload is available.
-- You can tune `poll_interval_s` and `poll_timeout_s` on `connect()`.
-
-## Types and result materialization
-
-- **Known tables:** column types come from `information_schema` when `include_columns=true` and are parsed with the same `PostgresType` mapper Ibis uses for PostgreSQL, with graceful fallback to `string`.
-- **`con.sql(...)`:**
-  inferred via `SELECT * FROM (<your query>) AS ibis_hotdata_preview LIMIT 1`, using HTTP `columns`/`nullable` and the first JSON row shape for coarse inference (Decimals from JSON rarely round-trip cleanly; timestamps may appear as ISO strings unless the API returns richer metadata; nested structures map toward `JSON` / `Array(JSON)`).
+**Mapping:** Ibis **catalog** = Hotdata connection id; **database** = remote schema; **table** = table name. SQL references look like `connection.schema.table`. With a single connection and schema, defaults are inferred; otherwise set `default_connection` / `default_schema` or qualify `con.table(..., database=(conn_id, schema))`.
 
-Results are fetched into **pandas** by default (`execute`), matching core SQL backends. PyArrow batches follow Ibis’s `to_pyarrow` / `to_pyarrow_batches` path over the same row materialization.
+**Execution:** SQL is compiled with Ibis’s **Postgres** SQLGlot compiler. The client uses `POST /v1/query`; with `prefer_async=True` it follows `202` and polls query-run and result endpoints until rows are ready. Tuning: `poll_interval_s`, `poll_timeout_s` on `connect()`.
 
-## Out of scope (v1)
+**Types:** Typed tables come from Hotdata’s information schema. `con.sql(...)` types are inferred from a small preview query; see [Hotdata SQL](https://www.hotdata.dev/docs/sql) for server behavior.
 
-Table creation/DML helpers, uploads, embeddings, indexes, dataset lifecycle—these remain unimplemented unless you drive them explicitly with `.sql(...)`.
+**Not in v1:** Ibis `create_table`, embeddings, indexes. **Uploads:** use `upload_file` + `create_dataset_from_upload` on the connection object (or raw SQL); query datasets as `datasets.<schema>.<table>` per Hotdata.
 
 ## Development
 
-This repo uses **[uv](https://docs.astral.sh/uv/)** for environments and **`uv.lock`**.
-
 ```bash
-uv sync               # editable project + dev group (pytest, pytest-httpserver, ruff)
+uv sync --group dev   # pytest, ruff, httpx (for examples)
 uv run pytest
 uv run ruff check src tests examples
 ```
 
-Optional Python pin:
+Lockfile CI: `uv sync --locked --group dev && uv run pytest`.
 
-```bash
-uv python pin 3.12
-uv sync
-```
+## TPC-H for the examples
+
+Examples assume something like **`tpch.tpch_sf1.customer`**. Provision TPC-H in your workspace (commonly a **DuckDB** connection, then DuckDB’s `tpch` extension and `CALL dbgen(sf = 1)` — see [DuckDB TPC-H](https://www.duckdb.org/docs/current/core_extensions/tpch.html) and [Hotdata Quick Start](https://www.hotdata.dev/docs/quick-start)). If your data lives under `main` instead, pass `--default-schema` / `--default-connection` or set `HOTDATA_DEFAULT_*` (see `examples/_helpers.py`).
+
+## Examples
 
-CI-oriented checks:
+Needs `HOTDATA_TOKEN` and `HOTDATA_WORKSPACE_ID`.
 
 ```bash
-uv sync --locked      # fail if uv.lock is out of date relative to pyproject.toml
-uv run pytest
+uv sync --group dev
+export HOTDATA_TOKEN=…
+export HOTDATA_WORKSPACE_ID=…
+uv run python examples/01_catalog_introspection.py
+uv run python examples/02_execute_sql.py 'SELECT COUNT(*) AS n FROM tpch.tpch_sf1.customer'
+uv run python examples/03_connect_via_url.py
+uv run python examples/04_ibis_table_workflows.py
 ```
 
-Without uv, use `pip install -e .` and install dev tools separately (`pytest`, `pytest-httpserver`, `ruff`).
+### Ibis tables → pandas DataFrames
 
-## TPC-H in Hotdata
+Calling **`.execute()`** on a table expression runs the compiled SQL on Hotdata and returns a **pandas** `DataFrame` (Ibis’s default for this backend).
 
-Hotdata does not ship TPC-H as a single “upload this file” dataset. You expose the benchmark tables through a **connection** in your workspace, then query them like any other federated tables. See [Quick Start](https://www.hotdata.dev/docs/quick-start) (workspaces and connections) and [Data Sources](https://www.hotdata.dev/docs/data-sources) (supported engines).
+Hotdata’s SQL often uses a **federated prefix** (for example `tpch.tpch_sf1`) that may not match the Ibis **catalog** string (the connection id). A reliable pattern is to start from **`con.sql("SELECT * FROM tpch.tpch_sf1.mytable", dialect="postgres")`**, then chain filters and aggregates—see **`examples/04_ibis_table_workflows.py`**.
 
-A practical approach is a **DuckDB** connection: in the [Hotdata app](https://app.hotdata.dev/), add DuckDB for your workspace, then run SQL against that connection (for example with `hotdata query '…' --workspace-id … --connection …` from the CLI) to install and generate data using DuckDB’s built-in TPC-H extension:
+When **`con.table("mytable")`** is enough (single connection/schema and names align with compiled SQL), the same operations apply:
 
-```sql
-INSTALL tpch;
-LOAD tpch;
-CALL dbgen(sf = 1);
-```
+```python
+t = con.table("customer")  # or con.table("customer", database=(conn_id, "tpch_sf1"))
 
-Details, cleanup between runs, and optional query harnesses are in the [DuckDB TPC-H extension](https://www.duckdb.org/docs/current/core_extensions/tpch.html) documentation. By default, `dbgen` creates the TPC-H tables in DuckDB’s default schema (often `main`).
+df = (
+    t.filter(t.c_mktsegment == "AUTOMOBILE")
+    .select("c_custkey", "c_name")
+    .limit(100)
+    .execute()
+)
 
-The examples in this repo assume federated names like **`tpch.tpch_sf1.customer`**: a connection whose id matches **`tpch`** (or is picked by the helper’s resolver) and a schema **`tpch_sf1`**. If your tables live in `main` instead, run the examples with `--default-schema main` and the correct `--default-connection`, or set **`HOTDATA_TPCH_RESOLVE=false`** and **`HOTDATA_DEFAULT_SCHEMA`** / **`HOTDATA_DEFAULT_CONNECTION`** (see `examples/_helpers.py`). Alternatively, create a `tpch_sf1` schema in DuckDB and move or recreate the generated tables there so the layout matches the defaults.
+by_seg = t.group_by(t.c_mktsegment).agg(n=t.count()).execute()
 
-## Examples
-
-The `examples/` directory has small CLIs that assume TPC-H defaults (**`tpch` / `tpch_sf1`**
-for REST metadata, aligning with federation SQL **`tpch.tpch_sf1.*`**). Helpers resolve the
-friendly labels to Hotdata connection ids when possible (`examples/_helpers.py`). Override
-via `--default-connection`, `--default-schema`, or **`HOTDATA_DEFAULT_*`**.
+o = con.table("orders")
+orders_with_names = (
+    t.join(o, t.c_custkey == o.o_custkey)
+    .select(t.c_name, o.o_totalprice)
+    .limit(50)
+    .execute()
+)
 
-```bash
-uv sync
-export HOTDATA_TOKEN=...
-export HOTDATA_WORKSPACE_ID=...
-uv run python examples/01_catalog_introspection.py
-uv run python examples/02_execute_sql.py 'SELECT COUNT(*) AS n FROM tpch.tpch_sf1.customer'
-uv run python examples/03_connect_via_url.py
+total = t.c_acctbal.sum().execute()
 ```
 
-See each script's docstring and `examples/_helpers.py` for flags (`--catalog`, `--schema`, `--prefer-async`, `--insecure`, …).
-
-Tests use **pytest-httpserver**; no workspace tokens are embedded in this repository.
+Other useful paths: **`.to_pyarrow()`** / **`.to_pyarrow_batches()`** for Arrow; **`con.sql("SELECT …", dialect="postgres")`** then chain the returned table expression.
 
 ## References
 
-- [Hotdata API reference](https://www.hotdata.dev/docs/api-reference)
-- [Hotdata SQL reference](https://www.hotdata.dev/docs/sql)
-- [Ibis](https://ibis-project.org/)
+- [Hotdata Python SDK](https://github.com/hotdata-dev/sdk-python)
+- [Hotdata API](https://www.hotdata.dev/docs/api-reference) · [Hotdata SQL](https://www.hotdata.dev/docs/sql)
+- [Ibis](https://ibis-project.org/) · [Ibis backend hierarchy](https://ibis-project.org/concepts/backend-table-hierarchy.qmd)
diff --git a/examples/04_ibis_table_workflows.py b/examples/04_ibis_table_workflows.py
new file mode 100644
index 0000000..7dfd1b3
--- /dev/null
+++ b/examples/04_ibis_table_workflows.py
@@ -0,0 +1,70 @@
+#!/usr/bin/env python3
+"""
+Ibis table expressions on TPC-H, executed to pandas via Hotdata.
+
+Hotdata SQL often uses a short federated prefix (e.g. ``tpch.tpch_sf1``) that may not
+match the Ibis **catalog** string (connection id). Building from ``con.sql(...)`` keeps
+qualifiers aligned with working ``SELECT ... FROM tpch.tpch_sf1.*`` queries.
+
+From the repo root::
+
+    HOTDATA_TOKEN=... HOTDATA_WORKSPACE_ID=... \\
+      uv run python examples/04_ibis_table_workflows.py
+"""
+
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+_examples = Path(__file__).resolve().parent
+sys.path.insert(0, str(_examples))
+
+import ibis
+
+from _helpers import connect_kwargs, parsed_args, parser
+
+_argp = parser("Ibis table workflows → pandas (Hotdata / TPC-H).")
+_ns = parsed_args(_argp)
+con = ibis.hotdata.connect(**connect_kwargs(_ns))
+
+# Federation prefix as in ``examples/02_execute_sql.py`` (not always == Ibis catalog id).
+FED = "tpch.tpch_sf1"
+
+
+def main() -> None:
+    customer = con.sql(f"SELECT * FROM {FED}.customer", dialect="postgres")
+    orders = con.sql(f"SELECT * FROM {FED}.orders", dialect="postgres")
+
+    print("— project + limit —")
+    q1 = customer.select("c_custkey", "c_name", "c_mktsegment").limit(5)
+    print(con.compile(q1))
+    print(q1.execute(), end="\n\n")
+
+    print("— filter + limit —")
+    q2 = customer.filter(customer.c_mktsegment == "AUTOMOBILE").limit(5)
+    print(con.compile(q2))
+    print(q2.execute(), end="\n\n")
+
+    print("— group by segment —")
+    q3 = customer.group_by(customer.c_mktsegment).agg(n=customer.count())
+    print(con.compile(q3))
+    print(q3.execute(), end="\n\n")
+
+    print("— join customer to orders —")
+    q4 = (
+        customer.join(orders, customer.c_custkey == orders.o_custkey)
+        .select(customer.c_name, orders.o_totalprice, orders.o_orderkey)
+        .limit(8)
+    )
+    print(con.compile(q4))
+    print(q4.execute(), end="\n\n")
+
+    print("— scalar aggregate —")
+    expr = customer.c_acctbal.sum()
+    print(con.compile(expr))
+    print(expr.execute())
+
+
+if __name__ == "__main__":
+    main()
diff --git a/pyproject.toml b/pyproject.toml
index c363092..a7bff98 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,7 +24,7 @@ classifiers = [
 ]
 dependencies = [
   "ibis-framework>=10.0,<11",
-  "httpx>=0.27",
+  "hotdata>=0.1.0",
   "pyarrow>=15",
   "pyarrow-hotfix>=0.6",
   "pandas>=2",
@@ -33,9 +33,10 @@ dependencies = [
 
 [dependency-groups]
 dev = [
-    "pytest>=8",
-    "pytest-httpserver>=1",
-    "ruff>=0.5",
+  "httpx>=0.27",
+  "pytest>=8",
+  "pytest-httpserver>=1",
+  "ruff>=0.5",
 ]
 
 [project.urls]
diff --git a/src/ibis_hotdata/backend.py b/src/ibis_hotdata/backend.py
index 63b7f13..a2487e6 100644
--- a/src/ibis_hotdata/backend.py
+++ b/src/ibis_hotdata/backend.py
@@ -176,7 +176,7 @@ def do_connect(
         timeout
             HTTP timeout in seconds (per request).
         verify_ssl
-            Passed to ``httpx`` (boolean or path to a CA bundle).
+            Passed through to the Hotdata SDK configuration (boolean or path to a CA bundle).
         default_connection
             Optional default **catalog** (Hotdata connection id). If omitted and the
             workspace exposes exactly one connection, it is chosen automatically;
@@ -270,7 +270,7 @@ def _to_catalog_db_tuple(self, table_loc: sge.Table):
         return sg_cat, sg_db
 
     def _connection_ids(self) -> list[str]:
-        data = self._http.get_json("/v1/connections")
+        data = self._http.list_connections()
         return [c["id"] for c in data["connections"]]
 
     def list_catalogs(self, *, like: str | None = None) -> list[str]:
@@ -322,7 +322,7 @@ def _iterate_information_schema(
             params["include_columns"] = include_columns
             if cursor:
                 params["cursor"] = cursor
-            chunk = self._http.get_json("/v1/information_schema", params=params)
+            chunk = self._http.get_information_schema(params)
             yield from chunk["tables"]
             if not chunk.get("has_more"):
                 break
@@ -425,8 +425,41 @@ def _fetch_from_cursor(self, cursor, schema: sch.Schema) -> pd.DataFrame:
         df = PandasData.convert_table(df, schema)
         return df
 
+    def upload_file(self, data: bytes) -> dict[str, Any]:
+        """POST ``/v1/files``; returns the upload record (use ``id`` with :meth:`create_dataset_from_upload`)."""
+        try:
+            return self._http.upload_file(data)
+        except HotdataAPIError as exc:
+            raise com.IbisError(str(exc)) from exc
+
+    def create_dataset_from_upload(
+        self,
+        upload_id: str,
+        label: str,
+        *,
+        table_name: str | None = None,
+        file_format: str = "csv",
+    ) -> dict[str, Any]:
+        """POST ``/v1/datasets`` with an upload source—materializes a queryable dataset table.
+
+        The response includes ``schema_name`` and ``table_name``. Reference the table in SQL as
+        ``datasets.<schema_name>.<table_name>`` (see Hotdata ``datasets`` documentation).
+        """
+        try:
+            return self._http.create_dataset_from_upload(
+                upload_id=upload_id,
+                label=label,
+                table_name=table_name,
+                file_format=file_format,
+            )
+        except HotdataAPIError as exc:
+            raise com.IbisError(str(exc)) from exc
+
     def create_table(self, *_args: Any, **_kwargs: Any) -> ir.Table:
-        raise NotImplementedError("Hotdata backend does not implement create_table in v1.")
+        raise NotImplementedError(
+            "Hotdata does not implement Ibis create_table in v1; use upload_file + "
+            "create_dataset_from_upload, then SQL or con.table with the returned names."
+        )
 
     def drop_table(self, *_args: Any, **_kwargs: Any) -> None:
         raise NotImplementedError("Hotdata backend does not implement drop_table in v1.")
diff --git a/src/ibis_hotdata/http.py b/src/ibis_hotdata/http.py
index dcf52e3..beff289 100644
--- a/src/ibis_hotdata/http.py
+++ b/src/ibis_hotdata/http.py
@@ -1,4 +1,4 @@
-"""HTTP client for the Hotdata REST API."""
+"""HTTP access to Hotdata via the official ``hotdata`` Python SDK (OpenAPI client)."""
 
 from __future__ import annotations
 
@@ -6,7 +6,20 @@
 from collections.abc import Mapping
 from typing import Any, MutableMapping
 
-import httpx
+from hotdata import ApiClient, Configuration
+from hotdata.api import (
+    ConnectionsApi,
+    DatasetsApi,
+    InformationSchemaApi,
+    QueryApi,
+    QueryRunsApi,
+    ResultsApi,
+    UploadsApi,
+)
+from hotdata.exceptions import ApiException
+from hotdata.models import CreateDatasetRequest, DatasetSource, QueryRequest, UploadDatasetSource
+from hotdata.models.async_query_response import AsyncQueryResponse
+from hotdata.models.query_response import QueryResponse
 
 
 class HotdataAPIError(Exception):
@@ -16,8 +29,18 @@ def __init__(self, message: str, *, status_code: int | None = None, body: Any =
         self.body = body
 
 
+def _from_api_exception(exc: ApiException) -> HotdataAPIError:
+    body = exc.body
+    if isinstance(body, (bytes, bytearray)):
+        body = body.decode("utf-8", errors="replace")
+    msg = f"Hotdata API error: {exc.reason}"
+    if body:
+        msg = f"{msg} {body}"
+    return HotdataAPIError(msg.strip(), status_code=exc.status, body=exc.body)
+
+
 class HotdataClient:
-    """Thin synchronous HTTP wrapper for `/v1/*` endpoints used by the Ibis backend."""
+    """Thin wrapper around the SDK used by the Ibis backend."""
 
     def __init__(
         self,
@@ -29,45 +52,55 @@ def __init__(
         timeout: float = 120.0,
         verify_ssl: bool | str = True,
     ) -> None:
-        base = api_url.rstrip("/")
-        headers: dict[str, str] = {
-            "Authorization": f"Bearer {token}",
-            "X-Workspace-Id": workspace_id,
-            "Content-Type": "application/json",
-            "Accept": "application/json",
-        }
-        if session_id:
-            headers["X-Session-Id"] = session_id
-        self._client = httpx.Client(base_url=base, headers=headers, timeout=timeout, verify=verify_ssl)
+        host = api_url.rstrip("/")
+        conf = Configuration(host=host, api_key=token, workspace_id=workspace_id, session_id=session_id)
+        if verify_ssl is False:
+            conf.verify_ssl = False
+        elif isinstance(verify_ssl, str):
+            conf.ssl_ca_cert = verify_ssl
+        self._timeout = timeout
+        self._client = ApiClient(conf)
+        self._query = QueryApi(self._client)
+        self._query_runs = QueryRunsApi(self._client)
+        self._results = ResultsApi(self._client)
+        self._connections = ConnectionsApi(self._client)
+        self._information_schema = InformationSchemaApi(self._client)
+        self._uploads = UploadsApi(self._client)
+        self._datasets = DatasetsApi(self._client)
 
     def close(self) -> None:
-        self._client.close()
-
-    def request(
-        self,
-        method: str,
-        path: str,
-        *,
-        params: Mapping[str, Any] | None = None,
-        json: Any = None,
-    ) -> httpx.Response:
-        r = self._client.request(method, path, params=params, json=json)
-        return r
-
-    def get_json(
-        self,
-        path: str,
-        *,
-        params: Mapping[str, Any] | None = None,
-    ) -> Any:
-        r = self.request("GET", path, params=params)
-        if r.is_error:
-            raise HotdataAPIError(
-                f"Hotdata GET {path} failed: {r.text}",
-                status_code=r.status_code,
-                body=r.text,
-            )
-        return r.json()
+        client = self._client
+        close_fn = getattr(client, "close", None)
+        if callable(close_fn):
+            close_fn()
+            return
+        pool = getattr(getattr(client, "rest_client", None), "pool_manager", None)
+        if pool is not None:
+            pool.clear()
+
+    def _safe_call(self, fn: Any, /, *args: Any, **kwargs: Any) -> Any:
+        try:
+            return fn(*args, _request_timeout=self._timeout, **kwargs)
+        except ApiException as exc:
+            raise _from_api_exception(exc) from exc
+
+    def list_connections(self) -> dict[str, Any]:
+        """GET ``/v1/connections``."""
+        out = self._safe_call(self._connections.list_connections)
+        return out.model_dump(by_alias=True, mode="json")
+
+    def get_information_schema(self, params: Mapping[str, Any]) -> dict[str, Any]:
+        """GET ``/v1/information_schema`` — ``params`` uses REST names (``schema`` not ``var_schema``)."""
+        out = self._safe_call(
+            self._information_schema.information_schema,
+            connection_id=params.get("connection_id"),
+            var_schema=params.get("schema"),
+            table=params.get("table"),
+            include_columns=params.get("include_columns"),
+            limit=params.get("limit"),
+            cursor=params.get("cursor"),
+        )
+        return out.model_dump(by_alias=True, mode="json")
 
     def execute_query(
         self,
@@ -78,25 +111,20 @@ def execute_query(
         poll_interval_s: float = 0.25,
         poll_timeout_s: float = 600.0,
     ) -> dict[str, Any]:
-        payload: dict[str, Any] = {
-            "sql": sql,
-            "async": prefer_async,
-            "async_after_ms": async_after_ms,
-        }
-        r = self.request("POST", "/v1/query", json=payload)
-        if r.status_code == 200:
-            return self._normalize_result_payload(r.json())
-        if r.status_code == 202:
-            body = r.json()
-            query_run_id = body["query_run_id"]
+        req = QueryRequest(sql=sql, var_async=prefer_async, async_after_ms=async_after_ms)
+        out = self._safe_call(self._query.query, req)
+        if isinstance(out, QueryResponse):
+            return self._normalize_result_payload(out.model_dump(by_alias=True))
+        if isinstance(out, AsyncQueryResponse):
+            query_run_id = out.query_run_id
             deadline = time.monotonic() + poll_timeout_s
             while time.monotonic() < deadline:
-                qr = self.get_json(f"/v1/query-runs/{query_run_id}")
-                status = qr.get("status")
+                qr = self._safe_call(self._query_runs.get_query_run, query_run_id)
+                status = qr.status
                 if status == "failed":
-                    raise HotdataAPIError(qr.get("error_message") or "Query run failed")
+                    raise HotdataAPIError(qr.error_message or "Query run failed")
                 if status == "succeeded":
-                    result_id = qr.get("result_id")
+                    result_id = qr.result_id
                     if result_id is None:
                         raise HotdataAPIError("succeeded query run missing result_id")
                     return self._poll_result_ready(
@@ -104,23 +132,39 @@ def execute_query(
                     )
                 time.sleep(poll_interval_s)
             raise HotdataAPIError("Timeout waiting for asynchronous query")
+        raise HotdataAPIError("Unexpected query response type")
 
-        raise HotdataAPIError(
-            f"Hotdata POST /v1/query failed: {r.text}",
-            status_code=r.status_code,
-            body=r.text,
-        )
+    def upload_file(self, data: bytes) -> dict[str, Any]:
+        resp = self._safe_call(self._uploads.upload_file, data)
+        return resp.model_dump(by_alias=True, mode="json")
+
+    def create_dataset_from_upload(
+        self,
+        *,
+        upload_id: str,
+        label: str,
+        table_name: str | None = None,
+        file_format: str = "csv",
+    ) -> dict[str, Any]:
+        src = DatasetSource(UploadDatasetSource(upload_id=upload_id, format=file_format))
+        fields: dict[str, Any] = {"label": label, "source": src}
+        if table_name is not None:
+            fields["table_name"] = table_name
+        req = CreateDatasetRequest(**fields)
+        resp = self._safe_call(self._datasets.create_dataset, req)
+        return resp.model_dump(by_alias=True, mode="json")
 
     def _poll_result_ready(
         self, result_id: str, *, deadline: float, poll_interval_s: float
     ) -> dict[str, Any]:
         while time.monotonic() < deadline:
-            res = self.get_json(f"/v1/results/{result_id}")
-            st = res.get("status")
+            res = self._safe_call(self._results.get_result, result_id)
+            d = res.model_dump(by_alias=True)
+            st = d.get("status")
             if st == "failed":
-                raise HotdataAPIError(res.get("error_message") or "Result failed")
-            if st == "ready" or (res.get("rows") is not None and res.get("columns")):
-                return self._normalize_result_payload(res)
+                raise HotdataAPIError(d.get("error_message") or "Result failed")
+            if st == "ready" or (d.get("rows") is not None and d.get("columns")):
+                return self._normalize_result_payload(d)
             time.sleep(poll_interval_s)
         raise HotdataAPIError("Timeout waiting for query result payload")
 
diff --git a/tests/test_hotdata_backend.py b/tests/test_hotdata_backend.py
index fa5338b..caef291 100644
--- a/tests/test_hotdata_backend.py
+++ b/tests/test_hotdata_backend.py
@@ -144,9 +144,21 @@ def test_information_schema_pagination_merges_pages(httpserver: HTTPServer, srv:
     def page(req: Request) -> Response:
         calls["n"] += 1
         if "cursor=page2" not in req.query_string.decode():
-            payload = {"tables": rows_a, "has_more": True, "next_cursor": "page2"}
+            payload = {
+                "count": 1,
+                "has_more": True,
+                "limit": 500,
+                "next_cursor": "page2",
+                "tables": rows_a,
+            }
         else:
-            payload = {"tables": rows_b, "has_more": False, "next_cursor": None}
+            payload = {
+                "count": 1,
+                "has_more": False,
+                "limit": 500,
+                "next_cursor": None,
+                "tables": rows_b,
+            }
         return Response(
             json.dumps(payload),
             status=200,
@@ -164,7 +176,7 @@ def page(req: Request) -> Response:
 
 def test_table_not_found(httpserver: HTTPServer, srv: str):
     httpserver.expect_request("/v1/information_schema").respond_with_json(
-        {"tables": [], "has_more": False, "next_cursor": None},
+        {"count": 0, "tables": [], "has_more": False, "next_cursor": None, "limit": 500},
     )
 
     con = ibis.hotdata.connect(
@@ -207,7 +219,13 @@ def test_list_tables_regex_like(httpserver: HTTPServer, srv: str):
         },
     ]
     httpserver.expect_request("/v1/information_schema").respond_with_json(
-        {"tables": tbls, "has_more": False, "next_cursor": None},
+        {
+            "count": 3,
+            "tables": tbls,
+            "has_more": False,
+            "next_cursor": None,
+            "limit": 500,
+        },
     )
 
     con = ibis.hotdata.connect(api_url=srv, token="tok", workspace_id="ws", verify_ssl=False)
diff --git a/tests/test_hotdata_http.py b/tests/test_hotdata_http.py
index 5458076..6824391 100644
--- a/tests/test_hotdata_http.py
+++ b/tests/test_hotdata_http.py
@@ -1,18 +1,35 @@
 from __future__ import annotations
 
+import json
+
 import pytest
+from werkzeug.wrappers import Request, Response
 from pytest_httpserver import HTTPServer
 
 from ibis_hotdata.http import HotdataAPIError, HotdataClient
 
 
+_QR_META = {
+    "created_at": "2026-01-01T00:00:00Z",
+    "snapshot_id": "snap",
+    "sql_hash": "h",
+    "sql_text": "select 1",
+}
+
+
 def test_execute_query_async_poll(httpserver: HTTPServer):
     httpserver.expect_oneshot_request("/v1/query", method="POST").respond_with_json(
-        {"query_run_id": "run1", "status": "queued", "status_url": "", "reason": None},
+        {
+            "query_run_id": "run1",
+            "status": "queued",
+            "status_url": "http://poll",
+            "reason": None,
+        },
         status=202,
     )
     httpserver.expect_oneshot_request("/v1/query-runs/run1").respond_with_json(
         {
+            **_QR_META,
             "status": "succeeded",
             "result_id": "res1",
             "id": "run1",
@@ -71,6 +88,10 @@ def test_sync_200_pad_shorter_nullable_array(httpserver: HTTPServer):
         "nullable": [False],
         "rows": [[1, 2, 3]],
         "row_count": 1,
+        "execution_time_ms": 0,
+        "query_run_id": "qr",
+        "result_id": None,
+        "warning": None,
     }
     httpserver.expect_oneshot_request("/v1/query", method="POST").respond_with_json(body)
     client = HotdataClient(
@@ -86,11 +107,16 @@ def test_sync_200_pad_shorter_nullable_array(httpserver: HTTPServer):
 
 def test_async_query_run_failure(httpserver: HTTPServer):
     httpserver.expect_oneshot_request("/v1/query", method="POST").respond_with_json(
-        {"query_run_id": "bad", "status": "accepted"},
+        {
+            "query_run_id": "bad",
+            "status": "accepted",
+            "status_url": "http://poll",
+            "reason": None,
+        },
         status=202,
     )
     httpserver.expect_oneshot_request("/v1/query-runs/bad").respond_with_json(
-        {"status": "failed", "error_message": "boom", "id": "bad"}
+        {**_QR_META, "status": "failed", "error_message": "boom", "id": "bad"}
     )
     client = HotdataClient(
         api_url=httpserver.url_for("/").rstrip("/"),
@@ -103,7 +129,7 @@ def test_async_query_run_failure(httpserver: HTTPServer):
     client.close()
 
 
-def test_get_json_raises_on_http_error(httpserver: HTTPServer):
+def test_list_connections_raises_on_http_error(httpserver: HTTPServer):
     httpserver.expect_request("/v1/connections").respond_with_data("nope", status=503)
     client = HotdataClient(
         api_url=httpserver.url_for("/").rstrip("/"),
@@ -112,5 +138,56 @@ def test_get_json_raises_on_http_error(httpserver: HTTPServer):
         verify_ssl=False,
     )
     with pytest.raises(HotdataAPIError):
-        client.get_json("/v1/connections")
+        client.list_connections()
+    client.close()
+
+
+def test_upload_file_then_create_dataset(httpserver: HTTPServer):
+    httpserver.expect_oneshot_request(
+        "/v1/files",
+        method="POST",
+    ).respond_with_json(
+        {
+            "id": "upl_1",
+            "status": "ready",
+            "size_bytes": 3,
+            "created_at": "2026-01-01T00:00:00Z",
+            "content_type": None,
+        },
+        status=201,
+    )
+
+    def on_dataset(req: Request) -> Response:
+        body = req.get_json()
+        assert body["label"] == "demo"
+        assert body["source"] == {"upload_id": "upl_1", "format": "csv"}
+        assert body.get("table_name") == "demo_tbl"
+        payload = {
+            "id": "ds_1",
+            "label": "demo",
+            "schema_name": "main",
+            "table_name": "demo_tbl",
+            "status": "ready",
+            "created_at": "2026-01-01T00:00:00Z",
+        }
+        return Response(json.dumps(payload), status=201, content_type="application/json")
+
+    httpserver.expect_oneshot_request("/v1/datasets", method="POST").respond_with_handler(on_dataset)
+
+    client = HotdataClient(
+        api_url=httpserver.url_for("/").rstrip("/"),
+        token="t",
+        workspace_id="w",
+        verify_ssl=False,
+    )
+    up = client.upload_file(b"a,b\n1,2")
+    assert up["id"] == "upl_1"
+    ds = client.create_dataset_from_upload(
+        upload_id=up["id"],
+        label="demo",
+        table_name="demo_tbl",
+        file_format="csv",
+    )
+    assert ds["schema_name"] == "main"
+    assert ds["table_name"] == "demo_tbl"
     client.close()
diff --git a/uv.lock b/uv.lock
index 3c6f64e..f9e5a1e 100644
--- a/uv.lock
+++ b/uv.lock
@@ -11,6 +11,15 @@ resolution-markers = [
     "python_full_version < '3.11'",
 ]
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
+]
+
 [[package]]
 name = "anyio"
 version = "4.13.0"
@@ -73,6 +82,21 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
 ]
 
+[[package]]
+name = "hotdata"
+version = "0.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pydantic" },
+    { name = "python-dateutil" },
+    { name = "typing-extensions" },
+    { name = "urllib3" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/63/a2/7e997581dc23fca35330c355cd433135c4d18cc5506fb77fb35fd0180e97/hotdata-0.1.0.tar.gz", hash = "sha256:6795ff7381fb8f2f258ee3f0c31f9b1ba2f5908728c51fa399840fdf603acc46", size = 97691, upload-time = "2026-04-25T17:57:00.102Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3f/21/e04ca377e7e3db50215bf207867ef02a56af11f61022390b7689e6ff2db3/hotdata-0.1.0-py3-none-any.whl", hash = "sha256:304f46d7c7ed5b586a9102684ef42e45972955dfb66a492c5e0b016e8bc545fa", size = 242376, upload-time = "2026-04-25T17:56:58.126Z" },
+]
+
 [[package]]
 name = "httpcore"
 version = "1.0.9"
@@ -124,7 +148,7 @@ name = "ibis-hotdata"
 version = "0.1.0"
 source = { editable = "." }
 dependencies = [
-    { name = "httpx" },
+    { name = "hotdata" },
     { name = "ibis-framework" },
     { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
     { name = "pandas", version = "3.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
@@ -135,6 +159,7 @@ dependencies = [
 
 [package.dev-dependencies]
 dev = [
+    { name = "httpx" },
     { name = "pytest" },
     { name = "pytest-httpserver" },
     { name = "ruff" },
@@ -142,7 +167,7 @@ dev = [
 
 [package.metadata]
 requires-dist = [
-    { name = "httpx", specifier = ">=0.27" },
+    { name = "hotdata", specifier = ">=0.1.0" },
     { name = "ibis-framework", specifier = ">=10.0,<11" },
     { name = "pandas", specifier = ">=2" },
     { name = "pyarrow", specifier = ">=15" },
@@ -152,6 +177,7 @@ requires-dist = [
 
 [package.metadata.requires-dev]
 dev = [
+    { name = "httpx", specifier = ">=0.27" },
     { name = "pytest", specifier = ">=8" },
     { name = "pytest-httpserver", specifier = ">=1" },
     { name = "ruff", specifier = ">=0.5" },
@@ -637,6 +663,137 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/2e/c3/94ade4906a2f88bc935772f59c934013b4205e773bcb4239db114a6da136/pyarrow_hotfix-0.7-py3-none-any.whl", hash = "sha256:3236f3b5f1260f0e2ac070a55c1a7b339c4bb7267839bd2015e283234e758100", size = 7923, upload-time = "2025-04-25T10:17:05.224Z" },
 ]
 
+[[package]]
+name = "pydantic"
+version = "2.13.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "annotated-types" },
+    { name = "pydantic-core" },
+    { name = "typing-extensions" },
+    { name = "typing-inspection" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/18/a5/b60d21ac674192f8ab0ba4e9fd860690f9b4a6e51ca5df118733b487d8d6/pydantic-2.13.4.tar.gz", hash = "sha256:c40756b57adaa8b1efeeced5c196f3f3b7c435f90e84ea7f443901bec8099ef6", size = 844775, upload-time = "2026-05-06T13:43:05.343Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fd/7b/122376b1fd3c62c1ed9dc80c931ace4844b3c55407b6fb2d199377c9736f/pydantic-2.13.4-py3-none-any.whl", hash = "sha256:45a282cde31d808236fd7ea9d919b128653c8b38b393d1c4ab335c62924d9aba", size = 472262, upload-time = "2026-05-06T13:43:02.641Z" },
+]
+
+[[package]]
+name = "pydantic-core"
+version = "2.46.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9d/56/921726b776ace8d8f5db44c4ef961006580d91dc52b803c489fafd1aa249/pydantic_core-2.46.4.tar.gz", hash = "sha256:62f875393d7f270851f20523dd2e29f082bcc82292d66db2b64ea71f64b6e1c1", size = 471464, upload-time = "2026-05-06T13:37:06.98Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e7/08/f1ba952f1c8ae5581c70fa9c6da89f247b83e3dd8c09c035d5d7931fc23d/pydantic_core-2.46.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a396dcc17e5a0b164dbe026896245a4fa9ff402edca1dff0be3d53a517f74de4", size = 2113146, upload-time = "2026-05-06T13:37:36.537Z" },
+    { url = "https://files.pythonhosted.org/packages/56/c6/65f646c7ff09bd257f660434adb45c4dfcbbcebcc030562fecf6f5bf887d/pydantic_core-2.46.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:da4b951fe36dc7c3a1ccb4e3cd1747c3542b8c9ceede8fc86cae054e764485f5", size = 1949769, upload-time = "2026-05-06T13:37:46.365Z" },
+    { url = "https://files.pythonhosted.org/packages/64/ba/bfb1d928fd5b49e1258935ff104ae356e9fd89384a55bf9f847e9193ad40/pydantic_core-2.46.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb63e0198ca18aad131c089b9204c23079c3afa95487e561f4c522d519e55aba", size = 1974958, upload-time = "2026-05-06T13:37:28.611Z" },
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