get_trades

Instructions

Implementation Reference

• src/massive_mcp/tools/quotes.py:56-81 (handler)

  The get_trades handler function. Fetches historical trades for a stock via GET /v3/trades/{ticker} with optional timestamp filtering, limit, and cursor pagination.

  @mcp.tool()
  async def get_trades(
      ticker: str,
      timestamp_gte: str | None = None,
      timestamp_lt: str | None = None,
      limit: int = 50,
      cursor: str | None = None,
  ) -> dict[str, Any]:
      """Historical trades for a stock.
  
      Args:
          ticker: Stock symbol.
          timestamp_gte: Inclusive lower bound ("YYYY-MM-DD" or ns/ms unix).
          timestamp_lt: Exclusive upper bound.
          limit: Max rows. Default 50.
          cursor: Pagination cursor.
      """
      return await client.get(
          f"/v3/trades/{ticker}",
          {
              "timestamp.gte": timestamp_gte,
              "timestamp.lt": timestamp_lt,
              "limit": limit,
              "cursor": cursor,
          },
      )

• src/massive_mcp/server.py:37-48 (registration)

  Registration: quotes.register(mcp, client) is called for each tool module in build_server().

  for module in (
      aggregates,
      quotes,
      snapshots,
      tickers,
      news,
      reference,
      indicators,
      corporate,
      financials,
  ):
      module.register(mcp, client)

• src/massive_mcp/tools/quotes.py:10-11 (registration)

  The register() function that registers all tools in quotes.py (including get_trades) via the @mcp.tool() decorator.

  def register(mcp: FastMCP, client: MassiveClient) -> None:
      @mcp.tool()

• src/massive_mcp/client.py:32-116 (helper)

  MassiveClient.get() – the HTTP client helper used by get_trades to make the actual API call.

  class MassiveClient:
      def __init__(self, settings: Settings) -> None:
          self._settings = settings
          headers = {"User-Agent": "massive-mcp/0.1"}
          if settings.auth_mode == "bearer":
              headers["Authorization"] = f"Bearer {settings.api_key}"
          self._http = httpx.AsyncClient(
              base_url=settings.base_url,
              headers=headers,
              timeout=DEFAULT_TIMEOUT,
          )
  
      async def aclose(self) -> None:
          await self._http.aclose()
  
      async def get(
          self, path: str, params: dict[str, Any] | None = None, *, trim: bool = True
      ) -> dict[str, Any]:
          merged: dict[str, Any] = {k: v for k, v in (params or {}).items() if v is not None}
          if self._settings.auth_mode == "query":
              merged["apiKey"] = self._settings.api_key
  
          last_exc: Exception | None = None
          for attempt in range(MAX_RETRIES):
              try:
                  resp = await self._http.get(path, params=merged)
              except httpx.HTTPError as exc:
                  last_exc = exc
                  await asyncio.sleep(2**attempt)
                  continue
  
              if resp.status_code == 429:
                  retry_after = float(resp.headers.get("Retry-After", 2**attempt))
                  await asyncio.sleep(min(retry_after, 30))
                  continue
              if 500 <= resp.status_code < 600 and attempt < MAX_RETRIES - 1:
                  await asyncio.sleep(2**attempt)
                  continue
  
              if resp.status_code == 401:
                  hint = (
                      "auth rejected — verify MASSIVE_API_KEY; "
                      "if you used MASSIVE_AUTH_MODE=bearer, try 'query' (or vice versa)"
                  )
                  raise MassiveAPIError(401, hint, _strip_secrets(str(resp.request.url)))
  
              try:
                  data = resp.json()
              except ValueError:
                  data = {"raw": resp.text}
  
              if not resp.is_success:
                  msg = data.get("error") or data.get("message") or resp.reason_phrase or "request failed"
                  raise MassiveAPIError(resp.status_code, str(msg), _strip_secrets(str(resp.request.url)))
  
              return _trim(data) if trim else data
  
          raise MassiveAPIError(0, f"network error after {MAX_RETRIES} retries: {last_exc}", path)
  
  
  def _trim(data: dict[str, Any]) -> dict[str, Any]:
      """If `results` is a huge array, truncate and surface a hint to paginate."""
      results = data.get("results")
      if isinstance(results, list) and len(results) > TRIM_THRESHOLD:
          kept = results[:TRIM_THRESHOLD]
          data = dict(data)
          data["results"] = kept
          data["_truncated_note"] = (
              f"response had {len(results)} items; truncated to {TRIM_THRESHOLD}. "
              "Re-call with a tighter `limit` or use `cursor`/`next_url` to page."
          )
      if "next_url" in data and data.get("next_url"):
          cursor = _extract_cursor(data["next_url"])
          if cursor:
              data["next_cursor"] = cursor
      return data
  
  
  def _extract_cursor(next_url: str) -> str | None:
      parts = urlsplit(next_url)
      for kv in parts.query.split("&"):
          if kv.startswith("cursor="):
              return kv.split("=", 1)[1]
      return None

• src/massive_mcp/tools/quotes.py:57-63 (schema)

  Input schema for get_trades: ticker (str), timestamp_gte (optional str), timestamp_lt (optional str), limit (int, default 50), cursor (optional str). Returns dict[str, Any].

  async def get_trades(
      ticker: str,
      timestamp_gte: str | None = None,
      timestamp_lt: str | None = None,
      limit: int = 50,
      cursor: str | None = None,
  ) -> dict[str, Any]: