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AuraStream MCP

AuraStream MCP

by UnbiasedAlpha
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

aurastream-mcp

An MCP server for AuraStream, the unified historical data API. It lets Claude Desktop, Claude Code, ChatGPT and other MCP clients pull OHLCV bars (and, for some sources, funding rates, trades, quotes, order books and earnings) from crypto exchanges, Yahoo Finance, Oanda, Alpaca, Polygon and others, plus macro, positioning and trade-flow data such as FRED, CFTC Commitments of Traders, SEC insider trades, earnings filings, planned insider sales, 8-K events, fails-to-deliver, 13D/13G stakes, 13F and mutual fund/ETF holdings and votes, the US economic release calendar, UK/EU/US/Hong Kong metals trade, TSA travel numbers, historical weather and degree days, US retail sales and consumer spending (PCE), USDA crop projections (WASDE), EU short positions, WARN layoff notices, federal contract spending and Fed statements, minutes and speeches, plus Unbiased Alpha's own derived datasets (crypto crowding, Fed tone, 8-K risk flags, insider conviction, fund flows, federal contracts and layoffs per company, energy and crop surprises): all 46 AuraStream sources through one tool.

Ask "plot BTC daily closes for Q1 from Binance", "compare SPY and QQQ drawdowns this year" or "how have hedge funds positioned in gold futures since 2020?" and the model calls AuraStream for the data.

Tools

Tool

What it does

list_sources()

Sources, asset classes, ticker formats, intervals, supported dtypes and source-specific parameters, and whether provider credentials are needed and configured. No API call.

get_timeseries(source, tickers, start, end, interval="1d", dtype="bars", price_type=None, instrument=None, continuous_contracts=None, ticktype=None, assetclass=None, category=None, feed=None, adjustment=None, indicator=None, dataset=None, report=None, options=None, as_of=None, concepts=None, period=None, mode=None, reporter=None, metric=None, level=None, db=None, filters=None, assetcol=None, index=None, variables=None, timezone=None, unit_group=None, vs_currency=None, sessiontemplate=None, closed_only=None, bartype=None, max_rows=100)

Calls POST /timeseries. Returns one CSV block per ticker (timestamp,Open,High,Low,Close,Volume for market bars, the source's own fields otherwise), capped at the most recent max_rows rows (max 1000) with the total row count noted.

get_latest(source, tickers, interval="1d", bars=10)

The most recent N bars per ticker, without picking dates.

Each get_timeseries / get_latest call is one AuraStream API call.

Sources exposed:

Group

Sources

Crypto

binance, bybit, kraken, deribit, kucoin, dydx, hyperliquid, lyra (Derive); with your own key: coinapi; with a Nemeton subscription: nemeton (order book signals) and signals (crypto crowding, Fed tone, 8-K flags, insider conviction, fund flows, federal contracts, layoffs, energy and crop surprises)

Equities, FX, futures, CFDs

yahoo; with your own account: oanda, alpaca, polygon, firstrate, tradestation, cityindex

Macro and energy

treasury, worldbank, sdmx (BIS, ECB, IMF, OECD...), econcalendar (US release times), fedtext (FOMC statements, minutes, Fed speeches), wasde (USDA crop projections); with a free key: fred, eia, bea (PCE, income, GDP); with your own key: tradingeconomics, nasdaq

Fundamentals

edgar (insider trades, reported financials, earnings filings, planned sales (144), 8-K events, fails-to-deliver, 13D/13G stakes, 13F holdings, fund and ETF holdings (N-PORT) and votes (N-PX)), usaspending (federal contracts by company), warn (layoff notices); with your own key: finnhub

Positioning and flows

cftc (Commitments of Traders), netshort (EU short positions), hmrc, comext, hktrade; with a free key: uscensus

Crypto fundamentals and news

defillama, gdelt; with a free key: coingecko

Weather and travel

openmeteo, degreedays (heating and cooling degree days), tsa (daily air travelers); with your own key: visualcrossing

Dates are YYYY-MM-DD. Intervals follow the API: upper-case M is minutes, lower-case m is months (15M = 15 minutes, 1m = one month). The server checks intervals, dtypes and parameters against each source's documented values before calling the API.

Related MCP server: Data Puller MCP Server

Install

Requires Python 3.10+.

pip install aurastream-mcp

Or run it without installing, with uv: uvx aurastream-mcp.

This installs an aurastream-mcp command. Check it with aurastream-mcp --help.

Configuration

All secrets come from environment variables. Provider credentials are never tool arguments, so they never pass through the chat or the model.

Variable

Needed for

AURASTREAM_API_KEY

Everything. Get a free key from the dashboard.

OANDA_ACCOUNT_ID, OANDA_TOKEN

oanda

OANDA_ENVIRONMENT

oanda, optional: practice (default) or live

ALPACA_API_KEY, ALPACA_SECRET_KEY

alpaca

POLYGON_API_KEY

polygon

FRED_API_KEY

fred

FINNHUB_API_KEY

finnhub

FIRSTRATE_USER_ID

firstrate: the user ID FirstRate Data gives you for API downloads

EIA_API_KEY

eia (free at eia.gov)

CENSUS_API_KEY

uscensus: trade and retail sales (free at census.gov)

BEA_API_KEY

bea (free at apps.bea.gov)

EDGAR_USER_AGENT

edgar and econcalendar (BLS): your name and contact email, e.g. Your Company contact@yourcompany.com. The SEC requires it; no registration.

NEMETON_API_KEY

nemeton: the key from your Nemeton subscription

COINAPI_KEY

coinapi

COINGECKO_API_KEY or COINGECKO_DEMO_API_KEY

coingecko: a Pro key, or a free Demo key (last 365 days only)

NASDAQ_DATA_LINK_API_KEY

nasdaq

TRADINGECONOMICS_API_KEY

tradingeconomics

TRADESTATION_CLIENT_ID, TRADESTATION_CLIENT_SECRET, TRADESTATION_REFRESH_TOKEN

tradestation

CITYINDEX_USERNAME, CITYINDEX_PASSWORD, CITYINDEX_APP_KEY

cityindex

VISUALCROSSING_API_KEY

visualcrossing

OPENMETEO_API_KEY

openmeteo, optional: sent when set

Weather sources take locations as latitude,longitude tickers, e.g. 48.85,2.35.

Set only the ones you use. list_sources tells the model which sources are configured.

Claude Desktop

Edit claude_desktop_config.json (Settings > Developer > Edit Config):

{
  "mcpServers": {
    "aurastream": {
      "command": "aurastream-mcp",
      "env": {
        "AURASTREAM_API_KEY": "your-aurastream-key",
        "OANDA_ACCOUNT_ID": "101-004-12345678-001",
        "OANDA_TOKEN": "your-oanda-token"
      }
    }
  }
}

If Claude Desktop can't find the command, use the full path (e.g. C:\\Users\\you\\venv\\Scripts\\aurastream-mcp.exe or /Users/you/venv/bin/aurastream-mcp). Restart Claude Desktop afterwards.

Claude Code

claude mcp add aurastream -e AURASTREAM_API_KEY=your-aurastream-key -- aurastream-mcp

Add -e FRED_API_KEY=... etc. for credentialed sources, and --scope user to make it available in every project.

Hosted server (no install)

Unbiased Alpha runs a shared copy at https://aurastream.unbiased-alpha.com/mcp. Point any client that supports remote MCP servers at it and send your own AuraStream key:

  • as a header: x-api-key: <key> or Authorization: Bearer <key>, or

  • in the URL, for clients that cannot set headers (ChatGPT): https://aurastream.unbiased-alpha.com/mcp?api_key=<key>. Anyone who sees that URL can use your key, so treat it like the key itself.

Claude Code:

claude mcp add --transport http aurastream https://aurastream.unbiased-alpha.com/mcp --header "x-api-key: your-key"

The hosted server holds no provider keys, so sources that need your own provider account (FRED, Polygon, Nemeton and the others in the table above) only work with a local install. Every source that needs no provider key works.

ChatGPT (remote connector)

The quickest route is the hosted server above: add https://aurastream.unbiased-alpha.com/mcp?api_key=<your key> as a connector (Settings > Connectors, developer mode). To run your own instead:

ChatGPT only talks to remote MCP servers over HTTPS, so run the server in HTTP mode somewhere reachable and register the URL as a connector.

AURASTREAM_API_KEY=your-key aurastream-mcp --http --host 127.0.0.1 --port 8000
# endpoint: http://127.0.0.1:8000/mcp

Put it behind something that gives you a public HTTPS URL (a reverse proxy with TLS, or a tunnel such as Cloudflare Tunnel or ngrok), then tell the server which public host name to accept:

aurastream-mcp --http --port 8000 --allowed-host mcp.example.com

and add https://mcp.example.com/mcp in ChatGPT. Requests with any other Host header are rejected (DNS-rebinding protection).

How the API key works in HTTP mode. If the client sends x-api-key: <key>, Authorization: Bearer <key> or ?api_key=<key> in the URL, that key is used. Otherwise the server falls back to AURASTREAM_API_KEY. The fallback is what makes ChatGPT work today, but it also means anyone who knows the URL spends your allowance and uses your provider credentials. Treat the HTTP mode as single-user self-hosting: keep the URL private, or put it behind your own auth. Start with --require-client-key to disable the fallback when each user brings their own key. Provider credentials always come from the server's environment.

Other options

aurastream-mcp [--http] [--host HOST] [--port PORT] [--path /mcp]
               [--allowed-host HOST ...] [--require-client-key] [--json-response]

AURASTREAM_API_URL overrides the endpoint (useful for testing).

Example prompts

  • "What sources does AuraStream have for forex?"

  • "Get daily BTCUSDT and ETHUSDT from Binance for 2025 and compute their 30-day rolling correlation."

  • "Show the last 20 hourly bars of EUR_USD from Oanda."

  • "Pull UNRATE and DFF from FRED since 2015 and describe how they moved together."

  • "Show Binance BTCUSDT perpetual funding rates for June 2025."

  • "How has managed-money positioning in gold futures (CFTC) changed since 2020?"

  • "Which AAPL insiders bought or sold shares in 2024?"

  • "Show monthly UK gold exports to Switzerland since 2020."

  • "Fetch SPY and QQQ daily from Yahoo for the last 6 months and compare max drawdowns."

Limits

  • Historical data, not a real-time feed. The last bar may still be forming.

  • Every data call counts against your monthly AuraStream allowance (free plan: 500 calls/month). When it runs out the tool says so; it resets on the 1st at 00:00 UTC. The free plan also allows about 1 request per second.

  • Results are capped per ticker (default 100 rows, max 1000) to keep the model's context manageable. For long, fine-grained histories use the REST API or the Python client directly.

  • The API times out after 120 seconds; split very large requests.

  • Interval support varies by source (see the docs).

Known issues

  • Non-bar data (funding, order and position books, trades, quotes, earnings, Finnhub financials and the macro, positioning and trade sources) is rendered generically as a table.

  • Several sources are stamped at the period they describe but published later (EIA, EDGAR fails-to-deliver, the trade sources). list_sources notes the lag; shift the data before backtesting.

  • GDELT search queries are throttled by GDELT itself; keep ranges short. dataset="themes" is not throttled.

Directories

Also listed on mcprush, with its security scan:

AuraStream MCP server

Development

python -m venv .venv
.venv/Scripts/activate        # or: source .venv/bin/activate
pip install -e ".[test]"
pytest

The tests mock all HTTP calls; no API key is needed.

License

MIT. See LICENSE.

Available Tools

3 tools
get_latestA
Read-onlyIdempotent

Return the most recent N bars (OHLCV) per ticker, without having to pick dates. Uses one unit of the monthly AuraStream allowance. Data is historical/delayed, not a live quote; the last bar may still be forming.

NameRequiredDescriptionDefault
barsNoHow many of the most recent bars to return per ticker.
sourceYesData source id, see list_sources.
tickersYesTickers in the source's own format.
intervalNoBar size, e.g. 1h or 1d.1d

Output Schema

NameRequiredDescription
resultYes

TDQS

A4.3/5.0
Behavior5/5

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

Adds substantial context beyond the read-only/idempotent annotations: it consumes one unit of the monthly AuraStream allowance, the data is historical/delayed rather than a live quote, and the last bar may still be forming. These are exactly the quirks an agent needs before calling.

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 tight sentences, front-loaded with what is returned, followed by quota and data-freshness caveats. 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?

Output schema exists, all four parameters are documented, and the description covers the non-obvious concerns (cost, delay, partial last bar). Nothing an agent needs to invoke it correctly is missing.

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

Parameters3/5

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

Schema description coverage is 100% – bars, source, tickers, and interval are all documented in-schema. The description's 'N bars per ticker' restates the schema rather than adding format or edge-case meaning, so baseline 3 applies.

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

Purpose4/5

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

States a specific verb and resource: return the most recent N OHLCV bars per ticker. 'Without having to pick dates' implicitly contrasts with get_timeseries, though the sibling is never named outright.

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

Usage Guidelines4/5

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

Gives a clear selection condition – use this when you don't want to specify dates – which is exactly what separates it from get_timeseries. No explicit exclusions or named alternatives, so it falls short of a 5.

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

get_timeseriesA
Read-onlyIdempotent

Fetch historical data from AuraStream and return it as a CSV table per ticker (timestamp,Open,High,Low,Close,Volume for market bars; source-specific fields otherwise, see list_sources). Long results are cut to the most recent max_rows rows per ticker, with the total row count noted. Each call uses one unit of the user's monthly AuraStream allowance. Provider credentials come from the server's environment; never ask the user to paste them.

NameRequiredDescriptionDefault
dbNosdmx (required): provider ID, e.g. BIS, ECB, ESTAT, IMF, OECD.
endYesEnd date, YYYY-MM-DD.
topNoedgar nport only: keep the largest N positions of each filing.
feedNoalpaca stocks only: iex (default) or sip (consolidated tape).
modeNogdelt search queries only: share of coverage (default), article count, or tone.
as_ofNocftc: release (default, stamped at Friday publication, no look-ahead) or report (Tuesday position date). fred: realtime_start (default, stamped at publication) or date (period described).
dtypeNo'bars' everywhere; binance also 'funding' (futures); oanda also 'orderbook'/'positionbook'; alpaca also 'trades'/'quotes'; yahoo also 'earnings'.bars
indexNonasdaq only: date column used as the index (default date).
itemsNoedgar events only: 8-K item numbers, e.g. ['5.02'].
levelNonemeton only: order book depth the metric is computed over (default 1000).
startYesStart date, YYYY-MM-DD.
stateNowarn only: CA and/or NJ (default both).
holderNonetshort only: keep positions whose holder contains this text.
issuerNoedgar npx only: company whose votes to return (CUSIP, ISIN or name).
metricNonemeton (required): signal name, e.g. cumulative-depth, orderbook-pressure, spread (list_sources has all).
periodNoedgar financials only: quarter (default) or annual.
reportNocftc only; default depends on the symbol.
sourceYesData source id, see list_sources.
bartypeNocityindex only: bar (default) or tick.
countryNonetshort only: FR, NL and/or ES (default all).
datasetNoedgar: insider (default), financials, earnings, events, ftd, 13dg, 144, 13f, nport or npx. usaspending: monthly (default) or awards. signals: crypto_leverage (default), fed_tone, event_flags, insider_conviction, fund_flow_pressure, gov_contracts, layoffs or energy_ag. uscensus: trade (default) or retail. gdelt: themes.
filtersNonasdaq only: column filters per table, e.g. {"QDL/FON": {"contract_code": "967654"}}.
optionsNocftc only: include options (futures-equivalent).
speakerNofedtext speeches only: speaker's last name, e.g. powell.
tickersYesTickers in the source's own format, e.g. ['BTCUSDT'] for binance, ['EUR_USD'] for oanda, ['SPY'] for yahoo, ['GC'] for cftc, ['gold:CH'] for hmrc; weather sources take 'latitude,longitude', e.g. ['48.85,2.35']. Batch several tickers in one call.
weightsNodegreedays only: population (default); gas, electricity, fuel_oil for heating by division or US.
adjustedNouscensus retail only: seasonally adjusted (default true).
assetcolNonasdaq only: one series per value of this column, e.g. contract_code.
categoryNobybit only: linear (default) or inverse.
conceptsNoedgar financials only: XBRL concepts, e.g. ['Revenues'].
intervalNoBar size: upper-case M is minutes, lower-case m is months (15M = 15 minutes, 1m = one month). Support varies by source (list_sources shows each source's intervals).1d
max_rowsNoMax rows returned per ticker; the most recent rows are kept.
reporterNocomext only: EU27_2020 (default) or a member state, e.g. DE.
ticktypeNokraken futures only: trade (default), mark or spot (index) price.
timezoneNoopenmeteo only: IANA time zone, e.g. Europe/Paris (default GMT).
frequencyNobea only: M, Q or A (default: the series' own).
indicatorNotradingeconomics (required): indicator name, e.g. 'gdp', 'inflation rate'.
variablesNoopenmeteo (required): weather variables, e.g. ['temperature_2m'] with 1h, ['temperature_2m_max'] with 1d. visualcrossing: only these fields.
adjustmentNoalpaca stock bars only: raw (default), split, dividend or all.
assetclassNoalpaca only.
award_typeNousaspending only: contracts (default) or grants.
instrumentNobinance: spot (default) or futures (USD-M perpetuals). kraken: futures (default) or spot. firstrate: stock (default), etf, futures, fx, index, crypto or options. lyra: option (default) or perp.
min_amountNousaspending awards only: minimum award size in US dollars.
price_typeNooanda: M mid (default), A ask, B bid. cityindex: MID (default), BID or ASK.
unit_groupNovisualcrossing only: units (default us).
closed_onlyNotradestation only: leave out the bar still forming (default true).
vs_currencyNocoingecko only: quote currency (default USD).
sessiontemplateNotradestation only: trading session, e.g. Default or USEQPreAndPost.
continuous_contractsNofirstrate futures only: true (default) for continuous series, false for one series per contract.

Output Schema

NameRequiredDescription
resultYes

TDQS

A4.2/5.0
Behavior5/5

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

Beyond the annotations, the description discloses important behavior: results are truncated to the most recent max_rows rows per ticker with the total row count noted, each call consumes one unit of the monthly AuraStream allowance, and credentials come from the server environment so users should never be asked to paste them. These are exactly the operational details an agent needs before invoking a cost-incurring, truncated fetch.

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?

The description is four efficient sentences. It front-loads the primary purpose and return format, then adds truncation, cost, and credential guidance without redundant restatement of schema fields.

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

Completeness4/5

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

For a large multi-source tool with 49 parameters, complete schema coverage, annotations, and an output schema, the description covers the critical non-schema behavior: output format, truncation, allowance cost, and credential handling. It stops short of explicit sibling routing and source-selection guidance, but those are largely covered by the schema and list_sources reference.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all 49 parameters, including enums and source-specific options. The description adds useful return-shape context and mentions truncation, but it does not add parameter-level meaning beyond what the schema already provides.

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 and resource: 'Fetch historical data from AuraStream' and states that results are returned as a CSV table per ticker. It differentiates itself from get_latest through 'historical data' and from list_sources by directing source-specific field lookup there, so an agent can identify the tool's role without opening the schema.

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

Usage Guidelines3/5

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

The description implies the tool is for historical ranged data and points to list_sources for source-specific fields, but it never explicitly says when to use this tool versus get_latest or list_sources. The usage is inferable from the name and wording rather than stated as a routing rule.

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

list_sourcesA
Read-onlyIdempotent

List the AuraStream data sources: what each covers, ticker format, intervals, supported dtypes, optional source-specific parameters, the fields returned when they are not OHLCV, and whether provider credentials are needed and configured. Free to call (does not use the API allowance).

NameRequiredDescriptionDefault

No parameters

Output Schema

NameRequiredDescription
resultYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent, so the remaining value is cost and prerequisites, and the description delivers both: 'Free to call (does not use the API allowance)' and a note that it reports whether provider credentials are needed and configured. That is exactly the kind of context annotations cannot express. It does not state pagination or ordering behavior, keeping it at 4.

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

Conciseness4/5

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

A single dense sentence, front-loaded with the verb and resource, and every clause carries information (formats, fields, credentials, cost). The enumeration is long but none of the items is filler.

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

Completeness4/5

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

For a zero-parameter discovery tool with a full output schema, the description covers purpose, cost, and credential prerequisites, which is nearly everything an agent needs. The only gap is an explicit instruction on when to prefer this over calling get_timeseries directly.

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?

The tool takes zero parameters, so there is nothing for the schema to document and the baseline is 4. The description still uses the space usefully by explaining that some sources have source-specific parameters, which prepares the agent for what the output will contain.

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?

Names a specific verb+resource ('List the AuraStream data sources') and then enumerates exactly what the listing contains: coverage, ticker format, intervals, dtypes, optional source params, non-OHLCV fields, and credential status. That is far more specific than siblings get_timeseries/get_latest, which retrieve data rather than describe it.

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

Usage Guidelines4/5

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

The subject matter makes the when-to-use clear (discover sources, formats and credential requirements before fetching), and being a zero-parameter catalog it has no per-call conditions to state. It does not explicitly say 'call this before get_timeseries' or name the alternatives, so it stops short of a 5.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updatesv0.1.7
    • Changedget_latest1 field changed
      • changedInput schema / properties / source / enum
        Previous value: -[
-  "binance",
-  "bybit",
-  "kraken",
-  "deribit",
-  "kucoin",
-  "dydx",
-  "hyperliquid",
-  "lyra",
-  "coinapi",
-  "coingecko",
-  "nemeton",
-  "yahoo",
-  "firstrate",
-  "oanda",
-  "alpaca",
-  "polygon",
-  "tradestation",
-  "cityindex",
-  "fred",
-  "finnhub",
-  "worldbank",
-  "eia",
-  "treasury",
-  "sdmx",
-  "nasdaq",
-  "econcalendar",
-  "bea",
-  "tradingeconomics",
-  "cftc",
-  "edgar",
-  "hmrc",
-  "comext",
-  "uscensus",
-  "hktrade",
-  "defillama",
-  "gdelt",
-  "openmeteo",
-  "visualcrossing",
-  "tsa",
-  "netshort",
-  "wasde",
-  "warn",
-  "degreedays",
-  "fedtext",
-  "usaspending"
-]New value: +[
+  "binance",
+  "bybit",
+  "kraken",
+  "deribit",
+  "kucoin",
+  "dydx",
+  "hyperliquid",
+  "lyra",
+  "coinapi",
+  "coingecko",
+  "nemeton",
+  "yahoo",
+  "firstrate",
+  "oanda",
+  "alpaca",
+  "polygon",
+  "tradestation",
+  "cityindex",
+  "fred",
+  "finnhub",
+  "worldbank",
+  "eia",
+  "treasury",
+  "sdmx",
+  "nasdaq",
+  "econcalendar",
+  "bea",
+  "tradingeconomics",
+  "cftc",
+  "edgar",
+  "hmrc",
+  "comext",
+  "uscensus",
+  "hktrade",
+  "defillama",
+  "gdelt",
+  "openmeteo",
+  "visualcrossing",
+  "tsa",
+  "netshort",
+  "wasde",
+  "warn",
+  "degreedays",
+  "fedtext",
+  "usaspending",
+  "signals"
+]
    • Changedget_timeseries2 fields changed
      • changedInput schema / properties / dataset / description
        Previous value: -"edgar: insider (default), financials, earnings, events, ftd, 13dg, 144, 13f, nport or npx. usaspending: monthly (default) or awards. uscensus: trade (default) or retail. gdelt: themes."New value: +"edgar: insider (default), financials, earnings, events, ftd, 13dg, 144, 13f, nport or npx. usaspending: monthly (default) or awards. signals: crypto_leverage (default), fed_tone, event_flags, insider_conviction, fund_flow_pressure, gov_contracts, layoffs or energy_ag. uscensus: trade (default) or retail. gdelt: themes."
      • changedInput schema / properties / source / enum
        Previous value: -[
-  "binance",
-  "bybit",
-  "kraken",
-  "deribit",
-  "kucoin",
-  "dydx",
-  "hyperliquid",
-  "lyra",
-  "coinapi",
-  "coingecko",
-  "nemeton",
-  "yahoo",
-  "firstrate",
-  "oanda",
-  "alpaca",
-  "polygon",
-  "tradestation",
-  "cityindex",
-  "fred",
-  "finnhub",
-  "worldbank",
-  "eia",
-  "treasury",
-  "sdmx",
-  "nasdaq",
-  "econcalendar",
-  "bea",
-  "tradingeconomics",
-  "cftc",
-  "edgar",
-  "hmrc",
-  "comext",
-  "uscensus",
-  "hktrade",
-  "defillama",
-  "gdelt",
-  "openmeteo",
-  "visualcrossing",
-  "tsa",
-  "netshort",
-  "wasde",
-  "warn",
-  "degreedays",
-  "fedtext",
-  "usaspending"
-]New value: +[
+  "binance",
+  "bybit",
+  "kraken",
+  "deribit",
+  "kucoin",
+  "dydx",
+  "hyperliquid",
+  "lyra",
+  "coinapi",
+  "coingecko",
+  "nemeton",
+  "yahoo",
+  "firstrate",
+  "oanda",
+  "alpaca",
+  "polygon",
+  "tradestation",
+  "cityindex",
+  "fred",
+  "finnhub",
+  "worldbank",
+  "eia",
+  "treasury",
+  "sdmx",
+  "nasdaq",
+  "econcalendar",
+  "bea",
+  "tradingeconomics",
+  "cftc",
+  "edgar",
+  "hmrc",
+  "comext",
+  "uscensus",
+  "hktrade",
+  "defillama",
+  "gdelt",
+  "openmeteo",
+  "visualcrossing",
+  "tsa",
+  "netshort",
+  "wasde",
+  "warn",
+  "degreedays",
+  "fedtext",
+  "usaspending",
+  "signals"
+]
  2. 2 tool updatesv0.1.6
    • Changedget_latest1 field changed
      • changedInput schema / properties / source / enum
        Previous value: -[
-  "binance",
-  "bybit",
-  "kraken",
-  "deribit",
-  "kucoin",
-  "dydx",
-  "hyperliquid",
-  "lyra",
-  "coinapi",
-  "coingecko",
-  "nemeton",
-  "yahoo",
-  "firstrate",
-  "oanda",
-  "alpaca",
-  "polygon",
-  "tradestation",
-  "cityindex",
-  "fred",
-  "finnhub",
-  "worldbank",
-  "eia",
-  "treasury",
-  "sdmx",
-  "nasdaq",
-  "econcalendar",
-  "bea",
-  "tradingeconomics",
-  "cftc",
-  "edgar",
-  "hmrc",
-  "comext",
-  "uscensus",
-  "hktrade",
-  "defillama",
-  "gdelt",
-  "openmeteo",
-  "visualcrossing",
-  "tsa"
-]New value: +[
+  "binance",
+  "bybit",
+  "kraken",
+  "deribit",
+  "kucoin",
+  "dydx",
+  "hyperliquid",
+  "lyra",
+  "coinapi",
+  "coingecko",
+  "nemeton",
+  "yahoo",
+  "firstrate",
+  "oanda",
+  "alpaca",
+  "polygon",
+  "tradestation",
+  "cityindex",
+  "fred",
+  "finnhub",
+  "worldbank",
+  "eia",
+  "treasury",
+  "sdmx",
+  "nasdaq",
+  "econcalendar",
+  "bea",
+  "tradingeconomics",
+  "cftc",
+  "edgar",
+  "hmrc",
+  "comext",
+  "uscensus",
+  "hktrade",
+  "defillama",
+  "gdelt",
+  "openmeteo",
+  "visualcrossing",
+  "tsa",
+  "netshort",
+  "wasde",
+  "warn",
+  "degreedays",
+  "fedtext",
+  "usaspending"
+]
    • Changedget_timeseries12 fields changed
      • addedInput schema / properties / award_type
        Added value: +{
+  "anyOf": [
+    {
+      "enum": [
+        "contracts",
+        "grants"
+      ],
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "usaspending only: contracts (default) or grants.",
+  "title": "Award Type"
+}
      • addedInput schema / properties / country
        Added value: +{
+  "anyOf": [
+    {
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "netshort only: FR, NL and/or ES (default all).",
+  "title": "Country"
+}
      • changedInput schema / properties / dataset / description
        Previous value: -"edgar: insider (default), financials, earnings, ftd, 13f or nport. uscensus: trade (default) or retail. gdelt: themes."New value: +"edgar: insider (default), financials, earnings, events, ftd, 13dg, 144, 13f, nport or npx. usaspending: monthly (default) or awards. uscensus: trade (default) or retail. gdelt: themes."
      • addedInput schema / properties / holder
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "netshort only: keep positions whose holder contains this text.",
+  "title": "Holder"
+}
      • changedInput schema / properties / indicator / description
        Previous value: -"fred: country shortcut cpi, gdp, 3mrate or 10yrate; tickers are then 2-letter country codes (UK, not GB). tradingeconomics (required): indicator name, e.g. 'gdp', 'inflation rate'."New value: +"tradingeconomics (required): indicator name, e.g. 'gdp', 'inflation rate'."
      • addedInput schema / properties / issuer
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "edgar npx only: company whose votes to return (CUSIP, ISIN or name).",
+  "title": "Issuer"
+}
      • addedInput schema / properties / items
        Added value: +{
+  "anyOf": [
+    {
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "edgar events only: 8-K item numbers, e.g. ['5.02'].",
+  "title": "Items"
+}
      • addedInput schema / properties / min_amount
        Added value: +{
+  "anyOf": [
+    {
+      "minimum": 0,
+      "type": "integer"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "usaspending awards only: minimum award size in US dollars.",
+  "title": "Min Amount"
+}
      • changedInput schema / properties / source / enum
        Previous value: -[
-  "binance",
-  "bybit",
-  "kraken",
-  "deribit",
-  "kucoin",
-  "dydx",
-  "hyperliquid",
-  "lyra",
-  "coinapi",
-  "coingecko",
-  "nemeton",
-  "yahoo",
-  "firstrate",
-  "oanda",
-  "alpaca",
-  "polygon",
-  "tradestation",
-  "cityindex",
-  "fred",
-  "finnhub",
-  "worldbank",
-  "eia",
-  "treasury",
-  "sdmx",
-  "nasdaq",
-  "econcalendar",
-  "bea",
-  "tradingeconomics",
-  "cftc",
-  "edgar",
-  "hmrc",
-  "comext",
-  "uscensus",
-  "hktrade",
-  "defillama",
-  "gdelt",
-  "openmeteo",
-  "visualcrossing",
-  "tsa"
-]New value: +[
+  "binance",
+  "bybit",
+  "kraken",
+  "deribit",
+  "kucoin",
+  "dydx",
+  "hyperliquid",
+  "lyra",
+  "coinapi",
+  "coingecko",
+  "nemeton",
+  "yahoo",
+  "firstrate",
+  "oanda",
+  "alpaca",
+  "polygon",
+  "tradestation",
+  "cityindex",
+  "fred",
+  "finnhub",
+  "worldbank",
+  "eia",
+  "treasury",
+  "sdmx",
+  "nasdaq",
+  "econcalendar",
+  "bea",
+  "tradingeconomics",
+  "cftc",
+  "edgar",
+  "hmrc",
+  "comext",
+  "uscensus",
+  "hktrade",
+  "defillama",
+  "gdelt",
+  "openmeteo",
+  "visualcrossing",
+  "tsa",
+  "netshort",
+  "wasde",
+  "warn",
+  "degreedays",
+  "fedtext",
+  "usaspending"
+]
      • addedInput schema / properties / speaker
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "fedtext speeches only: speaker's last name, e.g. powell.",
+  "title": "Speaker"
+}
      • addedInput schema / properties / state
        Added value: +{
+  "anyOf": [
+    {
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "warn only: CA and/or NJ (default both).",
+  "title": "State"
+}
      • addedInput schema / properties / weights
        Added value: +{
+  "anyOf": [
+    {
+      "enum": [
+        "population",
+        "gas",
+        "electricity",
+        "fuel_oil"
+      ],
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "degreedays only: population (default); gas, electricity, fuel_oil for heating by division or US.",
+  "title": "Weights"
+}
  3. 2 tool updatesv0.1.4
    • Changedget_latest2 fields changed
      • changedInput schema / properties / interval / enum
        Previous value: -[
-  "1s",
-  "5s",
-  "10s",
-  "15s",
-  "30s",
-  "1M",
-  "2M",
-  "3M",
-  "5M",
-  "10M",
-  "15M",
-  "30M",
-  "1h",
-  "2h",
-  "4h",
-  "6h",
-  "8h",
-  "12h",
-  "1d",
-  "3d",
-  "5d",
-  "1w",
-  "1m",
-  "1q",
-  "1y"
-]New value: +[
+  "1s",
+  "5s",
+  "10s",
+  "15s",
+  "30s",
+  "1M",
+  "2M",
+  "3M",
+  "4M",
+  "5M",
+  "10M",
+  "15M",
+  "30M",
+  "60M",
+  "90M",
+  "1h",
+  "2h",
+  "3h",
+  "4h",
+  "6h",
+  "8h",
+  "12h",
+  "1d",
+  "3d",
+  "5d",
+  "1w",
+  "1m",
+  "3m",
+  "1q",
+  "1y"
+]
      • changedInput schema / properties / source / enum
        Previous value: -[
-  "binance",
-  "bybit",
-  "kraken",
-  "yahoo",
-  "firstrate",
-  "oanda",
-  "alpaca",
-  "polygon",
-  "fred",
-  "finnhub",
-  "worldbank",
-  "eia",
-  "treasury",
-  "cftc",
-  "finra",
-  "edgar",
-  "hmrc",
-  "comext",
-  "uscensus",
-  "hktrade",
-  "defillama",
-  "gdelt"
-]New value: +[
+  "binance",
+  "bybit",
+  "kraken",
+  "deribit",
+  "kucoin",
+  "dydx",
+  "hyperliquid",
+  "lyra",
+  "coinapi",
+  "coingecko",
+  "nemeton",
+  "yahoo",
+  "firstrate",
+  "oanda",
+  "alpaca",
+  "polygon",
+  "tradestation",
+  "cityindex",
+  "fred",
+  "finnhub",
+  "worldbank",
+  "eia",
+  "treasury",
+  "sdmx",
+  "nasdaq",
+  "econcalendar",
+  "bea",
+  "tradingeconomics",
+  "cftc",
+  "edgar",
+  "hmrc",
+  "comext",
+  "uscensus",
+  "hktrade",
+  "defillama",
+  "gdelt",
+  "openmeteo",
+  "visualcrossing",
+  "tsa"
+]
    • Changedget_timeseries34 fields changed
      • addedInput schema / properties / adjusted
        Added value: +{
+  "anyOf": [
+    {
+      "type": "boolean"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "uscensus retail only: seasonally adjusted (default true).",
+  "title": "Adjusted"
+}
      • addedInput schema / properties / adjustment
        Added value: +{
+  "anyOf": [
+    {
+      "enum": [
+        "raw",
+        "split",
+        "dividend",
+        "all"
+      ],
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "alpaca stock bars only: raw (default), split, dividend or all.",
+  "title": "Adjustment"
+}
      • changedInput schema / properties / as_of / anyOf
        Previous value: -[
-  {
-    "enum": [
-      "release",
-      "report"
-    ],
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "enum": [
+      "release",
+      "report",
+      "realtime_start",
+      "date"
+    ],
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]
      • changedInput schema / properties / as_of / description
        Previous value: -"cftc only: stamp at Friday publication (release, default, no look-ahead) or Tuesday position date (report)."New value: +"cftc: release (default, stamped at Friday publication, no look-ahead) or report (Tuesday position date). fred: realtime_start (default, stamped at publication) or date (period described)."
      • addedInput schema / properties / assetcol
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "nasdaq only: one series per value of this column, e.g. contract_code.",
+  "title": "Assetcol"
+}
      • addedInput schema / properties / bartype
        Added value: +{
+  "anyOf": [
+    {
+      "enum": [
+        "bar",
+        "tick"
+      ],
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "cityindex only: bar (default) or tick.",
+  "title": "Bartype"
+}
      • addedInput schema / properties / closed_only
        Added value: +{
+  "anyOf": [
+    {
+      "type": "boolean"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "tradestation only: leave out the bar still forming (default true).",
+  "title": "Closed Only"
+}
      • addedInput schema / properties / continuous_contracts
        Added value: +{
+  "anyOf": [
+    {
+      "type": "boolean"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "firstrate futures only: true (default) for continuous series, false for one series per contract.",
+  "title": "Continuous Contracts"
+}
      • changedInput schema / properties / dataset / description
        Previous value: -"finra: short_interest (default) or short_volume. edgar: insider (default) or financials. gdelt: themes."New value: +"edgar: insider (default), financials, earnings, ftd, 13f or nport. uscensus: trade (default) or retail. gdelt: themes."
      • addedInput schema / properties / db
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "sdmx (required): provider ID, e.g. BIS, ECB, ESTAT, IMF, OECD.",
+  "title": "Db"
+}
      • changedInput schema / properties / dtype / description
        Previous value: -"'bars' everywhere; binance also 'funding'/'orderbook'; oanda also 'orderbook'; alpaca also 'trades'/'quotes'; yahoo also 'earnings'."New value: +"'bars' everywhere; binance also 'funding' (futures); oanda also 'orderbook'/'positionbook'; alpaca also 'trades'/'quotes'; yahoo also 'earnings'."
      • changedInput schema / properties / dtype / enum
        Previous value: -[
-  "bars",
-  "funding",
-  "orderbook",
-  "earnings",
-  "trades",
-  "quotes"
-]New value: +[
+  "bars",
+  "funding",
+  "earnings",
+  "orderbook",
+  "positionbook",
+  "trades",
+  "quotes"
+]
      • changedInput schema / properties / feed / description
        Previous value: -"alpaca only: iex (default) or sip (needs a paid Alpaca plan)."New value: +"alpaca stocks only: iex (default) or sip (consolidated tape)."
      • addedInput schema / properties / filters
        Added value: +{
+  "anyOf": [
+    {
+      "additionalProperties": {
+        "additionalProperties": true,
+        "type": "object"
+      },
+      "type": "object"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "nasdaq only: column filters per table, e.g. {\"QDL/FON\": {\"contract_code\": \"967654\"}}.",
+  "title": "Filters"
+}
      • changedInput schema / properties / frequency / anyOf
        Previous value: -[
-  {
-    "enum": [
-      "quarterly",
-      "annual"
-    ],
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "enum": [
+      "M",
+      "Q",
+      "A"
+    ],
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]
      • changedInput schema / properties / frequency / description
        Previous value: -"fred and finnhub only: quarterly (default) or annual."New value: +"bea only: M, Q or A (default: the series' own)."
      • addedInput schema / properties / index
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "nasdaq only: date column used as the index (default date).",
+  "title": "Index"
+}
      • addedInput schema / properties / indicator
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "fred: country shortcut cpi, gdp, 3mrate or 10yrate; tickers are then 2-letter country codes (UK, not GB). tradingeconomics (required): indicator name, e.g. 'gdp', 'inflation rate'.",
+  "title": "Indicator"
+}
      • changedInput schema / properties / instrument / anyOf
        Previous value: -[
-  {
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "enum": [
+      "spot",
+      "futures",
+      "stock",
+      "etf",
+      "fx",
+      "index",
+      "crypto",
+      "options",
+      "option",
+      "perp"
+    ],
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]
      • changedInput schema / properties / instrument / description
        Previous value: -"binance: spot (default) or perpetual (needed for dtype funding). kraken: futures (default) or spot."New value: +"binance: spot (default) or futures (USD-M perpetuals). kraken: futures (default) or spot. firstrate: stock (default), etf, futures, fx, index, crypto or options. lyra: option (default) or perp."
      • changedInput schema / properties / interval / enum
        Previous value: -[
-  "1s",
-  "5s",
-  "10s",
-  "15s",
-  "30s",
-  "1M",
-  "2M",
-  "3M",
-  "5M",
-  "10M",
-  "15M",
-  "30M",
-  "1h",
-  "2h",
-  "4h",
-  "6h",
-  "8h",
-  "12h",
-  "1d",
-  "3d",
-  "5d",
-  "1w",
-  "1m",
-  "1q",
-  "1y"
-]New value: +[
+  "1s",
+  "5s",
+  "10s",
+  "15s",
+  "30s",
+  "1M",
+  "2M",
+  "3M",
+  "4M",
+  "5M",
+  "10M",
+  "15M",
+  "30M",
+  "60M",
+  "90M",
+  "1h",
+  "2h",
+  "3h",
+  "4h",
+  "6h",
+  "8h",
+  "12h",
+  "1d",
+  "3d",
+  "5d",
+  "1w",
+  "1m",
+  "3m",
+  "1q",
+  "1y"
+]
      • addedInput schema / properties / level
        Added value: +{
+  "anyOf": [
+    {
+      "type": "integer"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "nemeton only: order book depth the metric is computed over (default 1000).",
+  "title": "Level"
+}
      • addedInput schema / properties / metric
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "nemeton (required): signal name, e.g. cumulative-depth, orderbook-pressure, spread (list_sources has all).",
+  "title": "Metric"
+}
      • changedInput schema / properties / price_type / anyOf
        Previous value: -[
-  {
-    "enum": [
-      "M",
-      "A",
-      "B"
-    ],
-    "type": "string"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "enum": [
+      "M",
+      "A",
+      "B",
+      "MID",
+      "BID",
+      "ASK"
+    ],
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]
      • changedInput schema / properties / price_type / description
        Previous value: -"oanda only: A ask (default), B bid, M mid."New value: +"oanda: M mid (default), A ask, B bid. cityindex: MID (default), BID or ASK."
      • addedInput schema / properties / sessiontemplate
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "tradestation only: trading session, e.g. Default or USEQPreAndPost.",
+  "title": "Sessiontemplate"
+}
      • changedInput schema / properties / source / enum
        Previous value: -[
-  "binance",
-  "bybit",
-  "kraken",
-  "yahoo",
-  "firstrate",
-  "oanda",
-  "alpaca",
-  "polygon",
-  "fred",
-  "finnhub",
-  "worldbank",
-  "eia",
-  "treasury",
-  "cftc",
-  "finra",
-  "edgar",
-  "hmrc",
-  "comext",
-  "uscensus",
-  "hktrade",
-  "defillama",
-  "gdelt"
-]New value: +[
+  "binance",
+  "bybit",
+  "kraken",
+  "deribit",
+  "kucoin",
+  "dydx",
+  "hyperliquid",
+  "lyra",
+  "coinapi",
+  "coingecko",
+  "nemeton",
+  "yahoo",
+  "firstrate",
+  "oanda",
+  "alpaca",
+  "polygon",
+  "tradestation",
+  "cityindex",
+  "fred",
+  "finnhub",
+  "worldbank",
+  "eia",
+  "treasury",
+  "sdmx",
+  "nasdaq",
+  "econcalendar",
+  "bea",
+  "tradingeconomics",
+  "cftc",
+  "edgar",
+  "hmrc",
+  "comext",
+  "uscensus",
+  "hktrade",
+  "defillama",
+  "gdelt",
+  "openmeteo",
+  "visualcrossing",
+  "tsa"
+]
      • changedInput schema / properties / tickers / description
        Previous value: -"Tickers in the source's own format, e.g. ['BTCUSDT'] for binance, ['EUR_USD'] for oanda, ['SPY'] for yahoo, ['GC'] for cftc, ['gold:CH'] for hmrc. Batch several tickers in one call."New value: +"Tickers in the source's own format, e.g. ['BTCUSDT'] for binance, ['EUR_USD'] for oanda, ['SPY'] for yahoo, ['GC'] for cftc, ['gold:CH'] for hmrc; weather sources take 'latitude,longitude', e.g. ['48.85,2.35']. Batch several tickers in one call."
      • addedInput schema / properties / ticktype
        Added value: +{
+  "anyOf": [
+    {
+      "enum": [
+        "trade",
+        "mark",
+        "spot"
+      ],
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "kraken futures only: trade (default), mark or spot (index) price.",
+  "title": "Ticktype"
+}
      • addedInput schema / properties / timezone
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "openmeteo only: IANA time zone, e.g. Europe/Paris (default GMT).",
+  "title": "Timezone"
+}
      • addedInput schema / properties / top
        Added value: +{
+  "anyOf": [
+    {
+      "minimum": 1,
+      "type": "integer"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "edgar nport only: keep the largest N positions of each filing.",
+  "title": "Top"
+}
      • addedInput schema / properties / unit_group
        Added value: +{
+  "anyOf": [
+    {
+      "enum": [
+        "us",
+        "metric",
+        "uk",
+        "base"
+      ],
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "visualcrossing only: units (default us).",
+  "title": "Unit Group"
+}
      • addedInput schema / properties / variables
        Added value: +{
+  "anyOf": [
+    {
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "openmeteo (required): weather variables, e.g. ['temperature_2m'] with 1h, ['temperature_2m_max'] with 1d. visualcrossing: only these fields.",
+  "title": "Variables"
+}
      • addedInput schema / properties / vs_currency
        Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "coingecko only: quote currency (default USD).",
+  "title": "Vs Currency"
+}
  4. 3 tool updatesv0.1.0
    • First observedget_latest
    • First observedget_timeseries
    • First observedlist_sources
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.3/5.0

Scored across 3 tools

Disambiguation4/5

get_timeseries and get_latest both fetch bar data, but the descriptions clearly separate them (explicit date ranges vs. most-recent N bars), and list_sources is a distinct discovery tool. An agent could occasionally pick the wrong fetch tool, but the split is well-explained. Naming edges toward the same verb, which slightly increases the chance of misselection between the two read tools.

Naming Consistency5/5

All three tools follow a consistent snake_case verb_noun pattern: get_timeseries, get_latest, list_sources. The pattern is predictable and readable, and no conventions are mixed.

Tool Count4/5

Three tools is slightly thin, but the server's purpose is narrow read-only market/source data, and each tool earns its place. A small surface is appropriate here rather than over-scoped.

Completeness4/5

The core workflow (discover sources, fetch historical ranges, fetch latest bars) is fully covered with sensible allowance and truncation behavior. Minor gap: no ticker search/metadata lookup to resolve valid symbols before fetching, which an agent must work around via list_sources.

Maintenance

ActivityNo data
ResponsivenessSyncing

Resources

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