Fintel Data
himself65/finance-skills
Query Fintel (fintel.io) institutional market data through its REST API or official MCP server.
Query Funda AI for analyst-grade research synthesis via MCP or raw structured market data via the REST API, choosing the right surface per request.
Install Fin Funda Data
$ npx skills add criptogus/agent-evolve-network --skill fin-funda-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install criptogus/agent-evolve-network fin-funda-data --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fin-funda-data .claude/skills/fin-funda-data && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fin-funda-data" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-funda-data into .claude/skills/fin-funda-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-funda-data", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-funda-dataType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add criptogus/agent-evolve-network --skill fin-funda-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install criptogus/agent-evolve-network fin-funda-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/fin-funda-data .agents/skills/fin-funda-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fin-funda-data" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-funda-data into .agents/skills/fin-funda-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-funda-data", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add criptogus/agent-evolve-network --skill fin-funda-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install criptogus/agent-evolve-network fin-funda-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/fin-funda-data .cursor/skills/fin-funda-data && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fin-funda-data" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-funda-data into .cursor/skills/fin-funda-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-funda-data", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/criptogus/agent-evolve-network.git --path skills/fin-funda-data--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add criptogus/agent-evolve-network --skill fin-funda-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install criptogus/agent-evolve-network fin-funda-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/fin-funda-data .gemini/skills/fin-funda-data && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fin-funda-data" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-funda-data into .gemini/skills/fin-funda-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-funda-data", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install criptogus/agent-evolve-network fin-funda-dataInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add criptogus/agent-evolve-network --skill fin-funda-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/fin-funda-data .github/skills/fin-funda-data && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fin-funda-data" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-funda-data into .github/skills/fin-funda-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-funda-data", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add criptogus/agent-evolve-network --skill fin-funda-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install criptogus/agent-evolve-network fin-funda-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/fin-funda-data .opencode/skills/fin-funda-data && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fin-funda-data" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/fin-funda-data into .opencode/skills/fin-funda-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-funda-data", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
fin-funda-data- GitHub stars
- 288
- Token cost
- ~1.1k tokens
- SKILL.md length
- 427 words
- Files
- 1
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- MIT
At a glance
Query Funda AI for analyst-grade research synthesis via MCP or raw structured market data via the REST API, choosing the right surface per request.
- The user asks for funda ai data work
- SKILL.md covers Instructions, Always, Never and Examples, plus 1 more section
- Calls npx; needs FUNDA_API_KEY
- Tasks that involve Stock and market analysis
What it does
Fin Funda Data is an agent skill from criptogus/agent-evolve-network. Query Funda AI for analyst-grade research synthesis via MCP or raw structured market data via the REST API, choosing the right surface per request. Use when the user asks for funda ai data work, or mentions fin, funda, data.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering Stock and market analysis, User research and REST APIs. It works with Model Context Protocol. The licence is MIT.
When your agent uses it
- The user asks for funda ai data work
- Tasks that involve Stock and market analysis
- Tasks that involve User research
Example prompts
- “/fin-funda-data”
Requirements
- Node.js
- A credential in FUNDA_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit d19b920. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
superagentskill.comfunda.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
FUNDA_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Fin Funda Data loads about 1.1k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 427 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:34
w: resolve FUNDA_API_KEY (env var, local .env, then repo-root .env). Call the REST
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from criptogus/agent-evolve-network at commit d19b920, republished under its MIT licence (© criptogus). 427 words, ~1,102 tokens.
Download SKILL.mdSave it as
.claude/skills/fin-funda-data/SKILL.md (or your agent's skills folder).- name
- fin-funda-data
- description
- Query Funda AI for analyst-grade research synthesis via MCP or raw structured market data via the REST API, choosing the right surface per request. Use when the user asks for funda ai data work, or mentions fin, funda, data.
- version
- 0.1.0
- license
- MIT
- homepage
- https://superagentskill.com/marketplace/fin-funda-data
- source
- Super Agent Skill (SAK)
Funda AI Data
Use this skill for financial research and raw market data through Funda AI's two surfaces: the MCP agent_chat tool at funda.ai/api/mcp for synthesis (DCF, comps, earnings previews/recaps, sector deep-dives, SEC filings, transcripts, supply-chain, ownership flow, macro framing) and the REST API at api.funda.ai/v1 (Bearer FUNDA_API_KEY) for raw data (quotes, candles, statements, options chains/greeks/GEX, news/sentiment, calendars, FRED, congressional trades, AI hiring signals).
Prefer MCP for ambiguous research/analysis; use REST for machine-readable structured data or when the MCP declines (real-time prices). Both require a Funda subscription. The MCP and skill refuse buy/sell calls, price targets, personalized portfolio advice, and tax/legal advice. Present data and let the user draw conclusions; never repackage analysis as a recommendation.
Instructions
You are a financial research assistant routing between Funda AI's MCP and REST surfaces.
Step 1 - Choose surface: MCP (agent_chat) for DCF/comps walkthroughs, sector views, transcript
synthesis, earnings preview/recap with judgment, narrative framing. REST for real-time/intraday/EOD
quotes, raw options chains/greeks/GEX, specific statement line items, 13F/insider/congressional rows,
structured news sentiment, bulk datasets. Default to MCP for ambiguous research questions.
Step 2 - MCP flow: verify the funda MCP is connected (else instruct claude mcp add --transport http funda https://funda.ai/api/mcp). agent_chat has no cross-call memory, so bake ticker, horizon, and
assumptions into the question. Call mcp__funda__agent_chat(question). Keep the Funda disclaimer prefix
and cite https://funda.ai/agent-chat?c={conversation_id}.
Step 3 - REST flow: resolve FUNDA_API_KEY (env var, local .env, then repo-root .env). Call the REST
endpoint at api.funda.ai/v1/<endpoint>?<params> over HTTPS with header Authorization: Bearer $FUNDA_API_KEY.
Responses are {code,message,data}; non-zero code is an error. List endpoints paginate (0-based, next_page=-1 when done).
Step 4 - Respond: format cleanly (tables, bullets), surface DCF assumptions, note source "Funda AI".
Refuse buy/sell calls, price targets, personalized portfolio advice, tax/legal advice on both surfaces.
Research/educational only, not financial advice.
Show full SKILL.md (136 more words)Show less
Always
- Choose MCP for synthesis and REST for raw structured data, defaulting to MCP when ambiguous.
- Preserve the Funda disclaimer and present data without recommendations.
- Resolve and use FUNDA_API_KEY as a Bearer token for REST calls.
Never
- Provide buy/sell calls, price targets, personalized portfolio, or tax/legal advice.
- Fall through to REST hoping for an answer the MCP intentionally refused.
- Answer research questions from memory instead of calling Funda.
Examples
Research synthesis (MCP)
Input:
Walk through a DCF for NVDA assuming 25% data-center growth, 10% terminal margin, 9% WACCExpected output:
Verifies the funda MCP, calls agent_chat with the full assumption-laden question, returns the
synthesized DCF with the surfaced assumptions and the Funda disclaimer, citing the conversation link.Raw data (REST)
Input:
Get me the latest options chain greeks for AAPLExpected output:
Resolves FUNDA_API_KEY, calls /v1/options/... with Bearer auth, parses the {code,message,data}
JSON, and formats greeks in a clean table. Notes source Funda AI; no trade recommendation.Trust & telemetry
This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.
- Trust Score & evidence: https://superagentskill.com/marketplace/trust/fin-funda-data
- Skill page: https://superagentskill.com/marketplace/fin-funda-data
- Live version (always current) via MCP: https://superagentskill.com/api/mcp
Reinstall or update with npx skills update, or pull the live graded version with
npx super-agent install fin-funda-data.
© criptogus, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/fin-funda-data of criptogus/agent-evolve-network.
Open the folder on GitHubat commit d19b920
Compare with similar skills
Fin Funda Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fin Funda Data this skillcriptogus/agent-evolve-network | 288 | — | ~1.1k | Automated safety check: Notes | MIT | |
| Fintel Datahimself65/finance-skills | 3.4k | — | ~2.2k | Automated safety check: Notes | MIT | |
| Binance Datatoollostleaf/binance-datatool | 148 | — | ~2.5k | Automated safety check: Notes | BSD-3-Clause | |
| Trust Wallet APItrustwallet/tw-agent-skills | 104 | — | ~424 | Automated safety check: Pass | MIT | |
| Setupdaloopa/investing | 489 | — | ~1k | Automated safety check: Notes | Apache-2.0 | |
| PolyvisionLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT |
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Questions about Fin Funda Data
What does Fin Funda Data do?
Query Funda AI for analyst-grade research synthesis via MCP or raw structured market data via the REST API, choosing the right surface per request. Fin Funda Data is an agent skill from criptogus/agent-evolve-network. Query Funda AI for analyst-grade research synthesis via MCP or raw structured market data via the REST API, choosing the right surface per request.
When should I use Fin Funda Data?
Fin Funda Data fits situations like: the user asks for funda ai data work; tasks that involve Stock and market analysis; tasks that involve User research.
How do I install Fin Funda Data in Claude Code?
Run `npx skills add criptogus/agent-evolve-network --skill fin-funda-data -a claude-code`. Or copy the skill folder (skills/fin-funda-data in criptogus/agent-evolve-network) into .claude/skills/fin-funda-data in your project. Claude Code loads it when a task matches its description.
How do I install Fin Funda Data in Codex?
Run `npx skills add criptogus/agent-evolve-network --skill fin-funda-data -a codex`. Or copy the skill folder (skills/fin-funda-data in criptogus/agent-evolve-network) into .agents/skills/fin-funda-data in your project. Codex loads it when a task matches its description.
Can I use Fin Funda Data in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add criptogus/agent-evolve-network --skill fin-funda-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fin-funda-data, .gemini/skills/fin-funda-data, .github/skills/fin-funda-data and .opencode/skills/fin-funda-data in your project.
What does Fin Funda Data need to run?
Going by SKILL.md and its folder, Fin Funda Data needs the command-line tools its instructions call (npx) and credentials named FUNDA_API_KEY. Our summary lists: Node.js; A credential in FUNDA_API_KEY.
Does Fin Funda Data access the network?
SKILL.md names 2 domains. As links in the text: superagentskill.com and funda.ai. This is read from the text; nothing was executed.
Is Fin Funda Data safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Fin Funda Data use?
Fin Funda Data is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Fin Funda Data use?
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Fin Funda Data?
Skills that share tags, products or a category with Fin Funda Data: Fintel Data (himself65/finance-skills, 3.4k stars), Binance Datatool (lostleaf/binance-datatool, 148 stars), Trust Wallet API (trustwallet/tw-agent-skills, 104 stars) and Setup (daloopa/investing, 489 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fin Funda Data?
criptogus (a GitHub user) maintains it in criptogus/agent-evolve-network, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 9, 2026.
Source: criptogus/agent-evolve-network on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.