# LastLook Data (remote · mcp.lastlookdata.com)

FRED macro data, Treasury yields, FX rates & macro indicators for AI agents. Pay-per-query via x402.

- Trust score: 74/100 (medium)
- Change this week: +5
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-04

## Components

- remote · `mcp.lastlookdata.com`: 74/100 (this document), [markdown](https://verifymcp.io/servers/zev-lll-lastlook-data/mcp.md), [page](https://verifymcp.io/servers/zev-lll-lastlook-data/mcp)

## Channel facts

- Endpoint: `https://mcp.lastlookdata.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `2.8.3`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-04.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 75/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 2224 tokens (~92/item across 24 items; 24 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 30/100
  - Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http zev-lll-lastlook-data https://mcp.lastlookdata.com/mcp
```

### Codex

```toml
[mcp_servers.zev-lll-lastlook-data]
url = "https://mcp.lastlookdata.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "zev-lll-lastlook-data": {
      "type": "remote",
      "url": "https://mcp.lastlookdata.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add zev-lll-lastlook-data --url https://mcp.lastlookdata.com/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  zev-lll-lastlook-data:
    url: "https://mcp.lastlookdata.com/mcp"
```

### Other

```json
{
  "mcpServers": {
    "zev-lll-lastlook-data": {
      "type": "http",
      "url": "https://mcp.lastlookdata.com/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-01 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 72, +2)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 70, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-28 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 68, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 67)

First indexed and scored.

## MCP tools (24)

### `get_treasury_yield_current` (~51 tokens)

Get Current 30-Year Treasury Yield

Returns the most recent 30-year US Treasury constant maturity yield (DGS30) from FRED. Free — no payment required. For other series use get_current_value or get_series.

Output parameters:

- `date` (string): Date of the observation (YYYY-MM-DD)
- `yield_percent` (string): Current 30-year Treasury yield as a percentage

### `get_treasury_yield_by_date` (~60 tokens)

Get 30-Year Treasury Yield by Date

Returns the 30-year US Treasury yield for a specific date. Business days only. Use YYYY-MM-DD format.

Input parameters:

- `date` (string, required): Date in YYYY-MM-DD format e.g. 2026-05-09

Output parameters:

- `date` (string): Date of the observation (YYYY-MM-DD)
- `yield_percent` (string): 30-year Treasury yield as a percentage

### `get_current_value` (~114 tokens)

Get Current FRED Series Value

Returns only the single most recent value for any supported FRED series. Cheaper than get_series ($0.01 vs $0.05). Use this when you need just the latest reading — e.g. current CPI, unemployment rate, mortgage rate. Use get_series instead when you need historical observations.

Input parameters:

- `series_id` (string, required): FRED series ID e.g. CPIAUCSL, UNRATE, MORTGAGE30US, DGS10, DCOILWTICO, SAHMREALTIME

Output parameters:

- `date` (string): Date of the observation (YYYY-MM-DD)
- `label` (string): Human-readable series name
- `series_id` (string): FRED series identifier
- `value` (string): Most recent observed value

### `get_value_by_date` (~69 tokens)

Get FRED Series Value by Date

Returns the value of any supported FRED series for a specific date. Business days only. Use YYYY-MM-DD format.

Input parameters:

- `date` (string, required): Date in YYYY-MM-DD format e.g. 2026-01-15
- `series_id` (string, required): FRED series ID

Output parameters:

- `date` (string): Date of the observation (YYYY-MM-DD)
- `label` (string): Human-readable series name
- `series_id` (string): FRED series identifier
- `value` (string): Observed value on the requested date

### `get_series` (~262 tokens)

Get FRED Data Series

Returns recent observations for any supported FRED data series. Use this to get current and historical values for mortgage rates, Treasury yields, Fed funds rate, CPI, SOFR, unemployment, GDP, energy prices, and more. Common use cases:
\- Current 30-yr mortgage rate: series_id=MORTGAGE30US, days=30
\- Current Fed funds rate: series_id=FEDFUNDS, days=30
\- Current 10-yr Treasury yield: series_id=DGS10, days=30
\- Current CPI (inflation): series_id=CPIAUCSL, days=30
\- Current WTI crude oil: series_id=DCOILWTICO, days=30
The most recent observation in the returned array is the current value.

Input parameters:

- `days` (string, required): History window: 30 ($0.05), 90 ($0.10), or 365 ($0.25). Use 30 for current/recent values.
- `series_id` (string, required): FRED series ID. Use IORB for Interest on Reserve Balances, EFFR for Effective Fed Funds Rate, MORTGAGE30US for 30-yr mortgage rate, SAHMREALTIME for Sahm Rule, etc.

Output parameters:

- `count` (number): Number of observations returned
- `current_date` (string): Date of the most recent observation
- `current_value` (string): Most recent observed value
- `end` (string): End date of the series window
- `label` (string): Human-readable series name
- `observations` (array): All observations in the window
- `series_id` (string): FRED series identifier
- `start` (string): Start date of the series window

### `get_fx_rate_current` (~83 tokens)

Get Current G10 FX Rate

Returns the current exchange rate for a G10 currency pair. Source: European Central Bank. Supported: EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD, AUDUSD, NZDUSD, USDSEK, USDNOK.

Input parameters:

- `pair` (string, required): G10 currency pair e.g. EURUSD, USDJPY, GBPUSD

Output parameters:

- `date` (string): Date of the rate (YYYY-MM-DD)
- `label` (string): Human-readable pair name
- `pair` (string): Currency pair identifier
- `rate` (string): Current exchange rate

### `get_fx_rate_by_date` (~80 tokens)

Get G10 FX Rate by Date

Returns the exchange rate for a G10 currency pair on a specific date. Source: European Central Bank. Use YYYY-MM-DD format.

Input parameters:

- `date` (string, required): Date in YYYY-MM-DD format e.g. 2026-01-15
- `pair` (string, required): G10 currency pair e.g. EURUSD, USDJPY

Output parameters:

- `date` (string): Date of the rate (YYYY-MM-DD)
- `label` (string): Human-readable pair name
- `pair` (string): Currency pair identifier
- `rate` (string): Exchange rate on the requested date

### `get_fx_rate_series` (~75 tokens)

Get G10 FX Rate History

Returns historical daily exchange rates for a G10 currency pair. Source: European Central Bank.

Input parameters:

- `days` (string, required): History window: 30 ($0.05), 90 ($0.10), or 365 ($0.25)
- `pair` (string, required): G10 currency pair e.g. EURUSD

Output parameters:

- `count` (number): Number of observations returned
- `end` (string): End date of the window
- `label` (string): Human-readable pair name
- `observations` (array): Daily exchange rates
- `pair` (string): Currency pair identifier
- `start` (string): Start date of the window

### `get_yield_curve` (~65 tokens)

Get Yield Curve Spreads

Returns 2s10s (2-year vs 10-year) and 3m10y (3-month vs 10-year) Treasury yield curve spreads with inversion signal. An inverted yield curve (negative spread) historically precedes recessions. Source: FRED.

Output parameters:

- `DGS10` (number): 10-Year Treasury yield
- `DGS1MO` (number): 1-Month T-Bill rate
- `DGS2` (number): 2-Year Treasury yield
- `as_of` (string): Date of the most recent underlying data
- `inverted_2s10s` (boolean): Whether the 2s10s spread is negative (inverted)
- `inverted_3m10y` (boolean): Whether the 3m10y spread is negative (inverted)
- `signal` (string): Curve shape signal: Fully inverted, Partially inverted, or Normal
- `spread_2s10s` (number): 10Y minus 2Y Treasury spread in percentage points
- `spread_3m10y` (number): 10Y minus 3-Month T-Bill spread in percentage points

### `get_recession_indicator` (~53 tokens)

Get Sahm Rule Recession Indicator

Returns the real-time Sahm Rule recession indicator. A value >= 0.50 signals a recession is likely underway. Measures the rise in unemployment from its recent low. Source: FRED SAHMREALTIME.

Output parameters:

- `as_of` (string): Date of the most recent observation
- `signal` (string): Human-readable signal description
- `threshold` (number): Trigger threshold (0.50)
- `triggered` (boolean): True if value >= 0.50 (recession signal active)
- `value` (number): Sahm Rule indicator value

### `get_policy_spread` (~58 tokens)

Get Fed Policy Spread (EFFR vs IORB)

Returns the spread between the Effective Federal Funds Rate (EFFR) and Interest on Reserve Balances (IORB), with an interpretation of Fed policy stance. EFFR below IORB is the normal operating band. Source: FRED.

Output parameters:

- `as_of` (string): Date of the most recent data
- `effr` (number): Effective Federal Funds Rate (%)
- `interpretation` (string): Policy stance interpretation
- `iorb` (number): Interest on Reserve Balances (%)
- `spread` (number): EFFR minus IORB spread in percentage points

### `get_economic_calendar` (~69 tokens)

Get Economic Calendar

Returns upcoming FRED economic data release dates — CPI, jobs report, GDP, Treasury rates, and more. Use this to find out when the next major economic data will be published.

Input parameters:

- `days` (string, required): Lookahead window in days: 30, 60, or 90

Output parameters:

- `calendar_end` (string): End date of the calendar window
- `calendar_start` (string): Start date of the calendar window
- `count` (number): Number of scheduled releases
- `releases` (array): Scheduled FRED economic data releases

### `get_bundle_refi_signal` (~104 tokens)

Get Refinance Signal Bundle

Returns a refinance signal bundle: current 30yr and 15yr mortgage rates, 52-week high/low range, MBS spread over 10Y Treasury, 30-day and 90-day rate trend, and a refi break-even threshold. The refi_breakeven_threshold field directly answers "what rate does a borrower need to have to benefit from refinancing today?" Priced at $0.60 USDC via x402 on Base.

Output parameters:

- `as_of` (string): Date of the most recent underlying data
- `bundle` (string): Bundle identifier: refi_signal
- `derived` (object): mbs_spread, week52_high, week52_low, week52_position_pct, refi_breakeven_threshold
- `series` (object): MORTGAGE30US, MORTGAGE15US, DGS10, FEDFUNDS
- `signals` (object): rate_trend_30d, rate_trend_90d, rate_vs_52wk, refi_environment

### `get_bundle_purchase_market` (~96 tokens)

Get Home Purchase Market Bundle

Returns a home purchase market bundle: current 30yr mortgage rate, median US home sale price (MSPUS), estimated monthly P&I payment on the median home assuming 20% down, annual income required to qualify at 28% DTI, affordability level signal, and housing starts. Directly answers "can my client afford a home today?" Priced at $0.60 USDC via x402 on Base.

Output parameters:

- `as_of` (string): Date of the most recent underlying data
- `bundle` (string): Bundle identifier: purchase_market
- `derived` (object): loan_amount, monthly_payment_estimate, income_required_28pct, home_price_change_qoq
- `series` (object): MORTGAGE30US, MSPUS, HOUST, FEDFUNDS
- `signals` (object): affordability_level (elevated/moderate/accessible), market_activity (strong/moderate/subdued)

### `get_bundle_rate_environment` (~90 tokens)

Get Rate Environment Snapshot Bundle

Returns a complete rate environment snapshot in one call: FEDFUNDS, SOFR, DGS2, DGS5, DGS10, DGS30, plus computed yield curve spreads (2s10s and 3m10y), Fed policy spread (EFFR vs IORB), and curve shape signal. Use this instead of multiple individual calls when you need the full rate picture.

Output parameters:

- `as_of` (string): Date of the most recent underlying data
- `bundle` (string): Bundle identifier
- `derived` (object): Computed spread and policy fields
- `series` (object): Current values for each rate series
- `signals` (object): Curve shape and policy stance signals

### `get_bundle_mortgage_pulse` (~82 tokens)

Get Mortgage Market Pulse Bundle

Returns a complete mortgage market snapshot: 30yr and 15yr mortgage rates, 10Y Treasury yield, Fed funds rate, median home price (MSPUS), housing starts (HOUST), MBS spread (30yr mortgage minus 10Y), and 30-day rate trend signal. Use this for mortgage market analysis.

Output parameters:

- `as_of` (string): Date of the most recent underlying data
- `bundle` (string): Bundle identifier
- `derived` (object): MBS spread and related computed fields
- `series` (object): Current values for each series
- `signals` (object): Rate trend signal

### `get_bundle_macro` (~75 tokens)

Get Macro Health Snapshot Bundle

Returns a macro health snapshot: GDP, unemployment rate (UNRATE), CPI and core CPI, Fed funds rate, yield curve 2s10s spread, and Sahm Rule recession indicator. Includes a cycle phase signal (expansion/late cycle/peak/contraction). Use this for macroeconomic context or recession risk assessment.

Output parameters:

- `as_of` (string): Date of the most recent underlying data
- `bundle` (string): Bundle identifier
- `derived` (object): Sahm Rule value and yield curve spread
- `series` (object): Current values for each macro series
- `signals` (object): Cycle phase and recession triggered flag

### `get_bundle_fx_dashboard` (~88 tokens)

Get G10 FX Dashboard Bundle

Returns all 9 G10 FX spot rates in one call: EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD, AUDUSD, NZDUSD, USDSEK, USDNOK. Also includes a USD strength index (average % change vs G10 basket over 30 days) and a USD trend signal. Source: European Central Bank via Frankfurter.

Output parameters:

- `as_of` (string): Date of the FX rates
- `bundle` (string): Bundle identifier
- `derived` (object): USD strength index vs G10 basket
- `series` (object): All 9 G10 FX spot rates
- `signals` (object): USD trend over 30 days

### `get_bundle_energy` (~79 tokens)

Get Energy & Commodities Bundle

Returns current energy commodity prices in one call: WTI crude oil (DCOILWTICO), Brent crude (DCOILBRENTEU), US regular gasoline (GASREGCOVW), and Henry Hub natural gas (DHHNGSP). Includes the WTI-Brent spread and a market signal. Source: FRED.

Output parameters:

- `as_of` (string): Date of the most recent underlying data
- `bundle` (string): Bundle identifier
- `derived` (object): WTI-Brent spread
- `series` (object): Current values for each energy series
- `signals` (object): WTI-Brent market signal

### `get_bundle_context_brief` (~74 tokens)

Get Economic Context Brief Bundle

Returns a pre-formatted natural-language paragraph summarizing 15+ economic indicators — rates, inflation, employment, mortgage market, energy prices, and FX. The "brief" field is ready to inject directly into an LLM prompt as economic context. Also returns structured series, FX, derived, and signals fields.

Output parameters:

- `as_of` (string): Date of the most recent underlying data
- `brief` (string): Pre-formatted natural-language economic context paragraph
- `bundle` (string): Bundle identifier
- `derived` (object): Computed fields (spreads, Sahm Rule, etc.)
- `fx` (object): Current FX rates included in the brief
- `series` (object): Current values for all FRED series in the brief
- `signals` (object): Curve shape and recession signals

### `get_crypto_price` (~128 tokens)

Get Current Crypto Price

Returns the current USD price, 24h % change, market cap, and 24h volume for any supported cryptocurrency. Supported: BTC, ETH, SOL, BNB, XRP, USDT, USDC, ADA, AVAX, DOGE, DOT, MATIC, LINK, LTC, ATOM, UNI, SUI, APT, NEAR, PEPE. Source: CoinGecko. Priced at $0.02 USDC via x402 on Base.

Input parameters:

- `coin` (string, required): Crypto symbol e.g. BTC, ETH, SOL, DOGE

Output parameters:

- `as_of` (string): ISO timestamp of the data fetch
- `change_24h_pct` (number): 24-hour price change %
- `market_cap_usd` (number|null): Market cap in USD
- `name` (string): Full name
- `price_usd` (number): Current price in USD
- `symbol` (string): Crypto symbol
- `volume_24h_usd` (number|null): 24-hour trading volume in USD

### `get_crypto_history` (~112 tokens)

Get Crypto Historical Prices

Returns historical daily closing prices for any supported cryptocurrency over 30, 90, or 365 days. Use for trend analysis, drawdown calculation, or training data. Source: CoinGecko. Priced at $0.15 USDC via x402.

Input parameters:

- `coin` (string, required): Crypto symbol e.g. BTC, ETH, SOL
- `days` (string, required): History window: 30 ($0.15), 90 ($0.15), or 365 ($0.15) days

Output parameters:

- `count` (number): Number of data points returned
- `days` (number): Number of days requested
- `end` (string): End date (YYYY-MM-DD)
- `name` (string): Full coin name
- `observations` (array): Daily price observations
- `start` (string): Start date (YYYY-MM-DD)
- `symbol` (string): Crypto symbol

### `get_bundle_crypto` (~106 tokens)

Get Crypto Top 20 Bundle

Returns the top 20 cryptocurrencies by market cap in one call: price, 24h change, 7d change, market cap, and volume. Covers BTC, ETH, SOL, BNB, XRP, USDT, USDC, ADA, AVAX, DOGE, and more. Use this instead of individual get_crypto_price calls when you need broad market coverage. Source: CoinGecko. Priced at $0.50 USDC via x402 on Base.

Output parameters:

- `as_of` (string): ISO timestamp of the data fetch
- `bundle` (string): Bundle identifier: crypto
- `coins` (array): Top 20 coins by market cap
- `count` (number): Number of coins returned

### `get_edgar_company` (~151 tokens)

Get Company Fundamentals (SEC EDGAR)

Returns financial fundamentals for any US public company from SEC EDGAR XBRL filings: revenue, net income, total assets, stockholders equity, and EPS. Includes both annual (10-K) and quarterly (10-Q) data for the most recent periods. Works for any ticker listed on a US exchange (AAPL, MSFT, TSLA, AMZN, NVDA, GOOGL, META, JPM, BAC, etc.). Source: SEC EDGAR. Priced at $0.75 USDC via x402 on Base.

Input parameters:

- `ticker` (string, required): Stock ticker symbol e.g. AAPL, MSFT, TSLA, AMZN, NVDA, GOOGL

Output parameters:

- `as_of` (string): Date the data was fetched
- `cik` (string): SEC Central Index Key
- `company_name` (string): Company legal name
- `edgar_url` (string): EDGAR filing browser URL for this company
- `fundamentals` (object): Financial data: revenue, net_income, total_assets, stockholders_equity, eps_basic
- `ticker` (string): Ticker symbol

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/zev-lll-lastlook-data/mcp#diagnostics

## Score history

- 2026-08-04: 74
- 2026-08-03: 74
- 2026-08-02: 73
- 2026-08-01: 73
- 2026-07-31: 72
- 2026-07-30: 70
- 2026-07-29: 69
- 2026-07-28: 69
- 2026-07-27: 68
- 2026-07-26: 67

## Links

- Remote endpoint: https://mcp.lastlookdata.com/mcp
- Repository: https://github.com/zev-lll/lastlook-data
- Website: https://www.lastlookdata.com/
- Changelog RSS feed: https://verifymcp.io/servers/zev-lll-lastlook-data/mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/zev-lll-lastlook-data/mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/zev-lll-lastlook-data/mcp