# DF Market Intelligence (npm · df-market-intelligence-mcp)

Insider trades, prediction-market odds, US macro and x402 data. Pays per call in USDC on Base.

- Trust score: 76/100 (medium)
- Change this week: +6
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-04

## Components

- npm · `df-market-intelligence-mcp`: 76/100 (this document), [markdown](https://verifymcp.io/servers/nasosal92-df-market-intelligence-mcp/df-market-intelligence-mcp.md), [page](https://verifymcp.io/servers/nasosal92-df-market-intelligence-mcp/df-market-intelligence-mcp)

## Channel facts

- Registry: `npm`
- Package: `df-market-intelligence-mcp`
- Version: `1.0.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, 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 2026-11-04.

- **Supply Chain Security**: 99/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - 30 of 111 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 12 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 74/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1603 tokens (~94/item across 17 items; 17 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 43/100
  - Stability observed for 13 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.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 17 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 17 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the DF Market Intelligence MCP server?

DF Market Intelligence runs locally as an npm package, launched with npx -y df-market-intelligence-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add nasosal92-df-market-intelligence-mcp -- npx -y df-market-intelligence-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "nasosal92-df-market-intelligence-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "df-market-intelligence-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "nasosal92-df-market-intelligence-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "df-market-intelligence-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add nasosal92-df-market-intelligence-mcp -- npx -y df-market-intelligence-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "nasosal92-df-market-intelligence-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "df-market-intelligence-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add nasosal92-df-market-intelligence-mcp --command npx --arg -y --arg df-market-intelligence-mcp
```

### Hermes

```yaml
mcp_servers:
  nasosal92-df-market-intelligence-mcp:
    command: "npx"
    args: ["-y", "df-market-intelligence-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "nasosal92-df-market-intelligence-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "df-market-intelligence-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add nasosal92-df-market-intelligence-mcp -t stdio -c npx -a -y df-market-intelligence-mcp
```

### Other

```json
{
  "mcpServers": {
    "nasosal92-df-market-intelligence-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "df-market-intelligence-mcp"
      ]
    }
  }
}
```

## 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.

### 2026-11-04 (score 76, 0)

- [functional regression] Security disclosure: unverified → fail

### 2026-11-03 (score 76, +1)

- [functional regression] Security disclosure: fail → unverified

### 2026-11-01 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 74, +3)

- [security improvement] CVE-2023-54404 no longer affects this package
- [security improvement] Known CVEs: fail → pass

### 2026-10-29 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-27 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-26 (score 69, +2)

- [functional improvement] Stability: unverified → 0.13

### 2026-10-24 (score 67, −3)

- [security regression] CVE-2023-54404 affects this package: high
- [security regression] Known CVEs: pass → fail

## MCP tools (17)

### `df_catalog` (~27 tokens)

Free. List every DF Market Intelligence data tool with its price per call and what it returns.

### `df_status` (~34 tokens)

Free. Data freshness: when each dataset (insider trades, prediction markets, macro, x402 economy) was last refreshed.

### `df_wallet` (~26 tokens)

Free. Show the paying wallet address, spending caps and how much this session has spent.

### `insider_latest` (~131 tokens)

Latest insider trades — Most recent SEC Form 4 insider transactions (US stocks), parsed to clean JSON within minutes of filing. Filter by type (P=open-market buy, S=sale) and minimum dollar value. Costs $0.01 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `limit` (integer): 1-100, default 50
- `min_value` (integer): Minimum transaction value in USD
- `type` (string): Form 4 transaction code: P (buy), S (sale), A (grant), M (option exercise)…

### `insider_ticker` (~102 tokens)

Insider activity for a stock — All insider buys and sells for one ticker over a window, with a summary: buy vs sell dollar value, distinct buyers/sellers and a net_buying / net_selling signal. Costs $0.02 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `days` (integer): Look-back window, 1-730, default 180
- `symbol` (string, required): Stock ticker

### `insider_clusters` (~107 tokens)

Insider cluster buying — Stocks where several different insiders bought shares on the open market in the same window — one of the strongest public insider signals. Ranked by number of insiders and dollar value. Costs $0.05 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `days` (integer): Window in days, 1-90, default 14
- `min_insiders` (integer): Minimum distinct buyers, 2-10, default 2

### `predictions_top` (~97 tokens)

Top prediction markets — Highest-volume live prediction markets across Polymarket and Kalshi with implied probabilities, 24h change, volume and close time. Refreshed every 15 minutes. Costs $0.005 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `limit` (integer): 1-100, default 25
- `source` (string): Optional: polymarket or kalshi

### `predictions_search` (~105 tokens)

Search prediction markets — Find the market-implied probability of any event (elections, Fed decisions, sports, crypto, geopolitics) across Polymarket and Kalshi by keyword. Costs $0.01 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `limit` (integer): 1-100, default 25
- `q` (string, required): Keywords, e.g. 'fed december' or 'bitcoin 150k'

### `predictions_movers` (~99 tokens)

Prediction market movers — Markets whose implied probability moved the most in the last 24h — what the crowd suddenly changed its mind about. Filtered by minimum volume. Costs $0.01 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `limit` (integer): 1-100, default 25
- `min_volume` (integer): Minimum 24h volume in USD, default 10000

### `macro_latest` (~97 tokens)

US macro dashboard — Latest value, change and year-over-year % for 24 key US indicators: CPI, core CPI, PCE, payrolls, unemployment, jobless claims, Fed funds, 2y/10y/30y yields, curve, mortgages, GDP, M2, Fed balance sheet, dollar index. Costs $0.01 USDC per call (x402 on Base), paid automatically from your configured wallet.

### `macro_series` (~81 tokens)

Macro time series — History (up to ~260 observations) plus summary stats for one US macro series by FRED id. Costs $0.005 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `id` (string, required): FRED series id, e.g. CPIAUCSL, UNRATE, DGS10

### `macro_calendar` (~71 tokens)

Economic release calendar — Upcoming US economic data releases (CPI, jobs report, GDP, etc.) for the next N days. Costs $0.005 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `days` (integer): 1-45, default 14

### `x402_overview` (~104 tokens)

x402 agent-economy overview — State of the x402 agent economy from the full Bazaar catalogue: services, endpoints, 30-day paid calls, estimated USDC volume, demand by category, network mix, top services, and how much volume comes from a handful of wallets (concentrated / likely self-traffic). Refreshed every cycle. Costs $0.01 USDC per call (x402 on Base), paid automatically from your configured wallet.

### `x402_services` (~169 tokens)

x402 service rankings — Ranked x402 services (by 30-day calls, unique payers or estimated revenue) with endpoint count, median price, networks and a concentration flag that filters out services whose volume comes from fewer than 5 wallets. Filter by category. Costs $0.01 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `category` (string): ai_inference, trading_defi, onchain_data, market_data, search_scrape, social, media, infra, travel, other
- `include_concentrated` (string): true to include services with volume from <5 wallets
- `limit` (integer): 1-200, default 50
- `sort` (string): calls (default), payers or revenue

### `x402_search` (~168 tokens)

Find a paid API for a task — Agents: describe what you need ('weather forecast', 'token price', 'transcribe audio') and get matching x402 endpoints ranked by real usage, with price, method, network and recent activity. Decoy/honeypot endpoints (≥$1000) are excluded. Costs $0.005 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `category` (string): Optional category filter (see /api/v1/x402/overview)
- `limit` (integer): 1-100, default 20
- `max_price` (string): Maximum price per call in USD, e.g. 0.01
- `q` (string, required): What you need, 2-80 chars

### `x402_trending` (~103 tokens)

Trending x402 services — Which x402 services gained or lost the most paid calls versus N days ago, plus new entrants — built from our daily snapshots of the whole catalogue. Costs $0.02 USDC per call (x402 on Base), paid automatically from your configured wallet.

Input parameters:

- `days` (integer): Compare with N days ago, 1-90, default 7
- `limit` (integer): 1-100, default 20

### `x402_pricing` (~82 tokens)

x402 price benchmarks — What paid agent APIs cost, per category: 25th/50th/75th percentile price, free share, and the median price of endpoints that actually get paid calls. For sellers setting prices and buyers checking value. Costs $0.01 USDC per call (x402 on Base), paid automatically from your configured wallet.

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/nasosal92-df-market-intelligence-mcp/df-market-intelligence-mcp#diagnostics

## Score history

- 2026-11-04: 76
- 2026-11-03: 76
- 2026-11-02: 75
- 2026-11-01: 75
- 2026-10-31: 74
- 2026-10-30: 74
- 2026-10-29: 71
- 2026-10-28: 70
- 2026-10-27: 70
- 2026-10-26: 69
- 2026-10-25: 67
- 2026-10-24: 67
- 2026-10-23: 70
- 2026-10-22: 55

## Common questions

### What is the DF Market Intelligence MCP server?

DF Market Intelligence is an MCP server listed in the public MCP registry as io.github.nasosal92/df-market-intelligence-mcp. Insider trades, prediction-market odds, US macro and x402 data. Pays per call in USDC on Base. This page covers its npm package (df-market-intelligence-mcp).

### Is the DF Market Intelligence MCP server safe to use?

DF Market Intelligence scores 76 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the DF Market Intelligence MCP server expose?

DF Market Intelligence exposes 17 tools: df_catalog, df_status, df_wallet, insider_latest, insider_ticker, and 12 more. Their descriptions and schemas cost roughly 1,603 tokens of context every time the server is loaded.

### Is the DF Market Intelligence MCP server still maintained?

DF Market Intelligence is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the DF Market Intelligence MCP server under?

DF Market Intelligence declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- npm package: https://www.npmjs.com/package/df-market-intelligence-mcp
- Socket report: https://socket.dev/npm/package/df-market-intelligence-mcp
- Repository: https://github.com/nasosal92/df-market-intelligence-mcp
- Website: https://df-data-agent.vercel.app/
- Changelog RSS feed: https://verifymcp.io/servers/nasosal92-df-market-intelligence-mcp/df-market-intelligence-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/nasosal92-df-market-intelligence-mcp/df-market-intelligence-mcp.json
- HTML version of this page: https://verifymcp.io/servers/nasosal92-df-market-intelligence-mcp/df-market-intelligence-mcp