Skip to main content
Glama
tickerbot

Tickerbot MCP Server

Official
by tickerbot

tickerbot_get_series

Fetch multi-ticker time series data on a shared time grid, up to 25 columns and 50 tickers, with optional transition-only rows when boolean flags change.

Instructions

THE series primitive: cross-ticker, multi-column time series on one aligned grid. Pick up to 25 columns (price, OHLCV, indicators like rsi_14, boolean flags, custom signals) and up to 50 tickers; get one flat row per ticker per interval step ({ticker, t, price, rsi_14, …}), cursor-paged backward. transitions_only=true with boolean columns returns only the rows where a flag CHANGED — "every golden_cross flip this year" in one call. All-time on every plan. Replaces looping asof snapshots per date, and replaces the sunset per-ticker history routes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoLatest timestamp (inclusive; a bare date means through that day).
fromNoEarliest timestamp (inclusive), YYYY-MM-DD or ISO.
limitNoRows per page. Max 1000. Default 252.
cursorNoOpaque cursor from a prior response — pages older.
tickerNoSingle symbol (alias of `tickers`, wins when both are set). One of ticker/tickers is required.
columnsNoComma list of columns (max 25). `fields` is a permanent alias. Defaults to a small set intersected with the interval's schema (intraday tiers carry fewer columns than daily — e.g. market_cap is daily-only).
tickersNoComma-separated symbols, max 50, all sharing one time grid. One of ticker/tickers is required.
intervalNoGrid granularity. `1w` weekly, `1q` fiscal-quarterly (fundamentals).
transitions_onlyNoOnly rows where a boolean column changed value (requires at least one boolean column). Each row carries `transition_drivers` naming the flags that flipped.
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses pagination ('cursor-paged backward'), row output shape, transitions_only behavior, plan coverage ('All-time on every plan'), and limits (25 columns, 50 tickers). This goes well beyond minimal transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the core concept ('THE series primitive'), and each sentence adds distinct, non-redundant information: capability, limits/behavior, transitions, and replacement of older routes. No filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having 9 parameters and no output schema, the description covers all critical aspects for selection and invocation: data shape, limits, pagination, transitions mode, plan access, and relationship to deprecated routes. It is more than adequate for an agent to decide when and how to use it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds value by explaining how parameters combine (flat row per ticker per interval step) and illustrating the output shape with an example, but it largely reiterates schema details. This extra contextualization justifies a 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb+resource with defining characteristics: 'THE series primitive: cross-ticker, multi-column time series on one aligned grid.' It clearly distinguishes from siblings like get_ticker_history and get_ticker_bars by stating it replaces per-ticker history routes and looping asof snapshots.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly names when to use: 'Replaces looping asof snapshots per date, and replaces the sunset per-ticker history routes.' This directly addresses alternatives and gives a concrete use case for transitions_only, making the usage context unambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tickerbot/tickerbot-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server