Marketstack is the simplest way to get price rows into an app — a clean JSON API for end-of-day and intraday quotes across dozens of global exchanges. Tickerbot starts where the price row ends: every ticker × every signal as one computed SQL table — query it live, as of any past moment, or as a webhook subscription. Complete on its own, data included — there’s no feed to bring.
Free plan. Every ticker, every signal, real-time data, all-time history.
head to head
Marketstack answers “what did this ticker trade at” — cleanly and simply. A system that acts on the market needs the next questions too: which tickers are in what state, how that compares to any past moment, and a push when it changes. That layer is what Tickerbot sells, as one SQL table.
| Marketstack | Tickerbot | |
|---|---|---|
| Market data | EOD & intraday price rows, JSON REST | One computed table, every ticker |
| Technical indicators & signals | Compute from the price series | 419+ named signals, precomputed + custom |
| Stock screener | Fetch symbols, filter in your code | SQL across the whole market |
| Backtest-ready history | 15+ years of EOD rows | As-of queries — any past moment |
| Stock alerts | Poll on a schedule, compare yourself | Webhook when your condition matches |
| AI agents | Price rows in — context spent on math | Answers in — context spent on decisions |
in practice
On a raw feed, market state is something you assemble — endpoint by endpoint, symbol by symbol, indicator by indicator. On Tickerbot, the assembly has already run — everything is a read:
| The question | With a raw feed | With Tickerbot |
|---|---|---|
| Everything about one ticker | Assemble it — quote, profile, fundamentals, plus each indicator, per symbol | GET /v2/tickers/AAPL — one row, every signal |
| Every ticker in a state | Poll each symbol, compute the indicator, compare | GET /v2/signals/rsi_oversold — the current list |
| Scan the entire market | Run your universe through your own pipeline | POST /v2/scan {"q": "rsi_14 < 30 AND market_cap > 1e9"} |
Each of the three Tickerbot calls runs in three tenses: live, as of any past moment (add ?asof= — no look-ahead, no survivorship bias), or on push — the same query as a webhook that fires when the answer changes. And every Tickerbot call is a native tool for AI agents via the MCP server: hand a model computed state and its context goes to decisions; hand it raw data and the context goes to doing the math.
None of this makes a raw feed the wrong buy — the layers are different. To act on market state, you either build this layer on a feed like Marketstack’s, or buy it from Tickerbot as a table — data included; there’s no feed to bring.
the right tool
Marketstack is the right choice when what you need is exactly what it sells: dependable price rows, with global exchange coverage far beyond US equities, behind an API simple enough to wire up in an afternoon. Price a portfolio of international listings, chart a Tokyo ticker, backfill EOD history — it’s built for that. When the job graduates from displaying prices to acting on market state, that’s the Tickerbot half.
questions
For US-market state, yes — and it’s a different layer. Marketstack sells price rows; Tickerbot sells the computed state built from prices and more: every US equity × 419+ signals as one SQL table, screened in one call, live, as-of any past moment, or pushed as a webhook. If you need international exchange coverage, Marketstack’s breadth is the draw.
Because every action it takes — an alert, a screen result, an order — is a condition over derived values: RSI below 30, price above the 200-day average, volume three times normal. Raw data doesn’t contain those. Something has to compute and refresh them for every symbol, continuously, and keep the history so past answers are reproducible. That’s a data pipeline, not a feature — you either build and operate it, or query one that already runs.
Naturally. Marketstack for international price rows and simple quote display; Tickerbot for the US market as computed state — screens, signals, history and webhooks from one table.
Every call here is also a native tool call: install the MCP server and Claude, ChatGPT, Cursor, or any MCP runtime queries the market directly. Computed state is what makes that work well: hand a model raw data and its context window fills with math to do; hand it computed answers and the context goes to decisions. A scan returns the tickers matching your condition: a list, not a workload.
The Free plan needs no card and carries the full data side: every ticker, every signal, real-time data, all-time history and as-of queries, at 10,000 calls a month and 60 a minute. Paid plans start at $29/mo, remove the monthly cap, and raise the rate limit; webhooks and streaming come with them. Data depth is never a tier lever: every plan sees the same table.
in the wild
What people are saying.
“dude. whoah.”
“Tickerbot is insane. It turns Claude into a quant.”
“Best value for hobbyists and advanced traders alike.”
get started
Free plan. Every ticker, every signal, real-time data, all-time history.