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Fintel Data

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himself65
fintel-data

Query Fintel (fintel.io) institutional market intelligence via the REST API at https://api.fintel.io/v1 with FINTEL_API_KEY (X-API-KEY header), or the official MCP server at https://mcp.fintel.io/mcp. Read-only data: short interest, borrow rate/fee and shares available to borrow, daily short volume, fails-to-deliver (FTD), institutional ownership from SEC 13F filings, insider transactions from SEC Form 3/4/5, analyst price targets, ratings and forecasts, dividends and earnings history, earnings and dividend calendars, EOD price bars, last trade price, security master lookup by ticker/CUSIP/ISIN/FIGI, leaderboards, watchlists and alerts. Triggers: "fintel", "fintel.io", short interest, short squeeze data, borrow rate, cost to borrow, shares available to borrow, FTD, fails to deliver, short volume, 13F holders, institutional owners, who owns X, insider buying, insider selling, Form 4 transactions, analyst price target, days to cover, short interest ratio.

Overview

Publisherhimself65
Repositoryfinance-skills
Skill namefintel-data
Stars
3.3K
Forks
378
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by himself65 on GitHub. Read the source before you install it.

Installation

Install the Fintel Data AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/himself65/finance-skills.git /tmp/finance-skills
mkdir -p .claude/skills
cp -r /tmp/finance-skills/plugins/data-providers/skills/fintel-data .claude/skills/fintel-data
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fintel Data in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fintel Data on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fintel Data is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Fintel Data Skill

Fintel (fintel.io) is an institutional-grade market intelligence platform. Its strongest datasets are the ones most other providers lack: short interest, borrow rates, short volume, fails-to-deliver, 13F institutional ownership, and insider transactions.

Fintel exposes two surfaces backed by the same data contract:

SurfaceEndpointAuthBest for
RESThttps://api.fintel.io/v1/*X-API-KEY headerDefault — curl from any CLI agent
MCPhttps://mcp.fintel.io/mcpX-API-KEY headerMCP-native clients, tool auto-discovery

Both require a Fintel API key. This skill is READ-ONLY — only call GET endpoints. The API also exposes write endpoints (create/delete stock lists, alert subscriptions, teams); do not call them.


Step 1: Resolve FINTEL_API_KEY

The skill resolves FINTEL_API_KEY in this order:

  1. FINTEL_API_KEY environment variable
  2. FINTEL_API_KEY in .env in the current directory
  3. FINTEL_API_KEY in .env at the git repo root (so a worktree inherits the key from the main checkout)
!`if [ -n "$FINTEL_API_KEY" ]; then echo "KEY_FROM_ENV_VAR"; elif [ -f .env ] && grep -qE "^FINTEL_API_KEY=" .env; then echo "KEY_FROM_LOCAL_DOTENV:$(pwd)/.env"; else GIT_COMMON=$(git rev-parse --path-format=absolute --git-common-dir 2>/dev/null); if [ -n "$GIT_COMMON" ]; then ROOT=$(dirname "$GIT_COMMON"); if [ -f "$ROOT/.env" ] && grep -qE "^FINTEL_API_KEY=" "$ROOT/.env"; then echo "KEY_FROM_ROOT_DOTENV:$ROOT/.env"; else echo "KEY_NOT_SET"; fi; else echo "KEY_NOT_SET"; fi; fi`

Then act on the result:

  • KEY_FROM_ENV_VAR — use $FINTEL_API_KEY directly in curl calls.
  • KEY_FROM_LOCAL_DOTENV:<path> / KEY_FROM_ROOT_DOTENV:<path> — load once before calling:
    bash
    export FINTEL_API_KEY=$(grep -E "^FINTEL_API_KEY=" <path> | head -1 | cut -d= -f2- | sed 's/^["'\'']//;s/["'\'']$//')
  • KEY_NOT_SET — ask the user for their key. Keys come with a Fintel API plan (fintel.io, docs at api.fintel.io/docs). They can either export FINTEL_API_KEY="..." or add FINTEL_API_KEY=... to .env at the repo root (preferred for worktrees).

Step 2: Resolve the Security

Most endpoints are addressed by {country}/{symbol} — an ISO country code plus ticker, e.g. us/AAPL. Default to us when the user gives only a ticker.

If the ticker is ambiguous or the user gives a company name, CUSIP, ISIN, or FIGI, resolve it first:

bash
# name / ticker / CUSIP / ISIN / FIGI search
curl -s -H "X-API-KEY: $FINTEL_API_KEY" "https://api.fintel.io/v1/securities?query=apple&country=us"
# exact identifier lookup (type: cusip, isin, ticker, id)
curl -s -H "X-API-KEY: $FINTEL_API_KEY" "https://api.fintel.io/v1/identifiers/isin/US0378331005"

Step 3: Match the Request to an Endpoint

User wantsEndpointNotes
Short interest, days to cover/v1/securities/{country}/{symbol}/short-interestTrailing year, NYSE/NASDAQ-reported. Limited availability — must be enabled per account; 403 means not entitled
Borrow rate, cost to borrow, shares available/v1/securities/{country}/{symbol}/borrow-rateLatest securities-lending fee rate, rebate rate, shares available
Daily short volume/v1/securities/{country}/{symbol}/short-volumeTrailing year: short, short-exempt, total volume
Fails-to-deliver / FTD/v1/securities/{country}/{symbol}/fails-to-deliverTrailing-year SEC FTD records (US only)
Institutional owners / 13F holders/v1/securities/{country}/{symbol}/ownersCurrent SEC 13F-derived holders
Insider transactions / Form 4/v1/securities/{country}/{symbol}/insidersSEC Form 3/4/5-derived; count param
Analyst price targets/v1/securities/{country}/{symbol}/price-targetsHigh, low, mean, median
Analyst buy/hold/sell ratings/v1/securities/{country}/{symbol}/analyst-ratingsAggregated recommendations
Revenue / EPS forecasts/v1/securities/{country}/{symbol}/forecastAggregated analyst estimates
EOD price history/v1/securities/{country}/{symbol}/eodperiod: 1m, 3m, 6m, 1y (default), 2y, 3y, 5y, all
Latest price + derived stats/v1/securities/{country}/{symbol}/last-price52w high/low, WTD/MTD/YTD change; falls back to EOD close with meta.warnings=["quote_stale"]
Dividend history/v1/securities/{country}/{symbol}/dividends
Earnings history and surprises/v1/securities/{country}/{symbol}/earnings
Upcoming earnings (one stock / market-wide)/v1/securities/{country}/{symbol}/calendar/earnings or /v1/calendar/earningsfrom/to ISO dates, default today +7d, max 90d window
Upcoming dividends (one stock / market-wide)/v1/securities/{country}/{symbol}/calendar/dividends or /v1/calendar/dividendsSame window rules
A specific fundamental metric/v1/securities/{country}/{symbol}/data-points/{key}Discover keys via /v1/data-definitions?query=...
Top/bottom ranked stocks/v1/leaderboards then /v1/leaderboards/{key}/entries503 not_available means retry later; meta.status="beta" means stub data
Security profile, listings, identifier history/v1/securities/{country}/{symbol}
User's watchlists/v1/stock-lists, /v1/stock-lists/{id}/itemsAlso /insiders, /owners, /filings per list
User's alerts/v1/alerts, /v1/alert-messages
Account / entitlements/v1/account

Full parameter details, country/exchange discovery endpoints, and more curl examples: read references/api-reference.md.


Step 4: Call the API

bash
curl -s -H "X-API-KEY: $FINTEL_API_KEY" \
  "https://api.fintel.io/v1/securities/us/AAPL/short-volume" | python3 -m json.tool
  • Success responses are JSON; some carry a meta object (warnings, freshness, status). Surface meta.warnings to the user when present.
  • Errors return {"error": {"code": "...", "message": "..."}} — e.g. unauthorized (bad/missing key), 403 (dataset not enabled for the account, common for short-interest), 503 not_available (ranking service down — retry later, don't treat as empty data).
  • Usage is metered per account — batch thoughtfully; don't poll.

Step 5: MCP Alternative (Optional)

For MCP-native setups, the same tools are discoverable from the official server (tool names like fintel.get_short_interest, fintel.get_security_owners — REST parity, same entitlements):

bash
claude mcp add --transport http fintel https://mcp.fintel.io/mcp --header "X-API-KEY: your_key_here"

Prefer REST via curl when shell access is available — it needs no setup beyond the key. Use MCP when the user explicitly asks for it or shell access is restricted (note: neither works on Claude.ai's sandbox).


Step 6: Respond to the User

  • Format numbers cleanly: prices to 2 decimals, percentages to 1-2 decimals, share counts with commas or abbreviations (2.3M, 1.1B).
  • For short data: contextualize — short interest as % of float, days to cover, borrow fee trend direction. High borrow fee + falling shares available is the classic squeeze setup; present the data, not a prediction.
  • For ownership/insiders: use tables (holder, shares, change, date). Distinguish buys from sells and option exercises in Form 4 data.
  • Note the data source: "Fintel" with dataset provenance (SEC 13F, Form 3/4/5, NYSE/NASDAQ short reports) when relevant.
  • Never turn the data into a trading recommendation, price target, or squeeze call — present facts and let the user draw conclusions.

Reference Files

  • references/api-reference.md — full REST endpoint reference: all GET endpoints with parameters, defaults, limits, error semantics, MCP tool name mapping, and curl examples.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Fintel Data AI skill do?

Query Fintel (fintel.io) institutional market intelligence via the REST API at https://api.fintel.io/v1 with FINTEL_API_KEY (X-API-KEY header), or the official MCP server at https://mcp.fintel.io/mcp. Read-only data: short interest, borrow rate/fee and shares available to borrow, daily short volume, fails-to-deliver (FTD), institutional ownership from SEC 13F filings, insider transactions from SEC Form 3/4/5, analyst price targets, ratings and forecasts, dividends and earnings history, earnings and dividend calendars, EOD price bars, last trade price, security master lookup by ticker/CUSIP/...

Why use Fintel Data on TypingMind?

Because you install it once and use it with any model. Fintel Data is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fintel Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/himself65/finance-skills/tree/main/plugins/data-providers/skills/fintel-data. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Fintel Data?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fintel Data?

As many as you like. As long as a model supports skills, you can use Fintel Data with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fintel Data AI skill free?

Yes. It is published on GitHub by himself65 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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