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Signal Lab: free data for trading and AI agents

REMOTE · SIGNAL-LAB-JET.VERCEL.APP

Search and export free market, macro, weather, news and OSINT data sources, with terms and skills.

73 Trust /100

Last scanned (17 hours ago)

Scores higher than 60% of remote servers

Reachable. Last reached 4 Nov 2026.

Category Search and Retrieval

Trust breakdown (7 categories)

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. How we score → Why this is hard to score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability60
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1981 tokens (~198/item across 10 items; 10 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management17
  • Stability observed for 5 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage99
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 96% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 4 Nov 26 0
    • Tool “search_catalog” rewrote its description, which is the text the model reads security
    • “export_catalog” reworded the description of “query” cosmetic
    • “feedback” reworded the description of “page” cosmetic
    • “get_source_urls” reworded the description of “query” cosmetic
    • “search_catalog” reworded the description of “query” cosmetic
  • 3 Nov 26 +1
    • The server rewrote its instructions, which are the text every model session reads security
    • Schema quality: 1663 → 1949 ▼ functional
    • Server version: 1.4.0 → 1.5.0 functional
    • New tool “feedback” functional
  • 2 Nov 26 0
    • Tool “search_catalog” rewrote its description, which is the text the model reads security
    • Schema quality: 1365 → 1663 ▼ functional
    • Server version: 1.3.0 → 1.4.0 functional
    • New tool “suggest_source” functional
    • “export_catalog” reworded the description of “domain” cosmetic
    • “get_source_urls” reworded the description of “domain” cosmetic
    • “search_catalog” reworded the description of “domain” cosmetic
  • 1 Nov 26 +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.

  • 31 Oct 26 0
    • Stability: unverified → 0.03 ▲ functional
  • 30 Oct 26 71

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 4 Nov 2026 · Probed https://signal-lab-jet.vercel.app/api/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.vercel.app CN=WR1,O=Google Trust Services,C=US 31 Oct 2026 29 Jan 2027 RSA 2048 SHA256-RSA 9c5f0e6a35c955e113044c86848e4cd5
SANs: *.vercel.app
CN=WR1,O=Google Trust Services,C=US (CA) CN=GTS Root R1,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 RSA 2048 SHA256-RSA 7fd9e2c2d2048a0474b627a26d0868a7
CN=GTS Root R1,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 19 Jun 2020 28 Jan 2028 RSA 4096 SHA256-RSA 77bd0d6cdb36f91aea210fc4f058d30d

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of signal-lab-jet.vercel.app. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
app. present 23684 8 Verified
vercel.app. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=63072000; includeSubDomains; preload
x-content-type-options nosniff
x-frame-options DENY
referrer-policy strict-origin-when-cross-origin
permissions-policy camera=(), microphone=(), geolocation=(), payment=(), usb=()

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://signal-lab-jet.vercel.app/api/mcp Verified 200
http (plaintext) http://signal-lab-jet.vercel.app/api/mcp HTTPS enforced 308 https://signal-lab-jet.vercel.app/api/mcp
MCP tools · 10 exposed · ~1,897 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
catalog_info ~35

Return the catalog's notice, schemaVersion, generated time, entry count and the download URLs of the full catalog as JSON and CSV.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

compare_entries ~50

Place the catalog's fields for up to 5 entries side by side. Values are the catalog's own; a field the catalog does not have shows Not in catalog.

NameTypeReqDescription
slugsarrayyes–

No output schema declared.

No examples provided.

export_catalog ~340

Export the Signal Lab catalog as JSON or CSV: every entry, or only those matching the same filters as search_catalog (no result cap). Optional fields picks columns by catalog field name. CSV has a header row, joins lists with "; " and repeats the catalog notice in the last column. Also returns the static download URLs.

NameTypeReqDescription
authstring–What sign-up is needed, as the catalog records it, for example none or free API key
badgestring–Access type: Free, Open Source, Freemium or Unofficial
categorystring–The catalog's category, for example Market Data or Macro
domainstring–Data domain: Financial, Global Macro, Energy, Agriculture & Food, Money Flows, Transport & Shipping, Weather, News & RSS, OSINT or Cyber Threat
fieldsarray–Catalog field names to include; default all
formatstring–Default json
licensestring–The catalog's license value, for example Provider terms or MIT
querystring–Words or known alias concepts that must all match catalog text. Aliases match whole terms; other words use substring matching
taskstring–One task tag, for example macro or market-data
typestring–Kind of entry, for example Dataset or Tool
verifiedboolean–true: only entries counted as Verified resources in llms.txt; false: only the others (Signal Lab originals, license unknown)
verified_sincestring–Only entries whose lastVerified date is on or after this date (YYYY-MM-DD)

No output schema declared.

No examples provided.

feedback ~240

Tell us what to fix or add: a missing source (new_source), a wrong fact (wrong_fact), a broken link (broken_link), a feature idea (feature_idea) or a site upgrade (site_upgrade). It goes into a private review queue; nothing is published automatically, and reviewed ideas are answered with a status and reason on https://signal-lab-jet.vercel.app/agent-suggestions. Give the type, a plain-text message (10-500 characters, no HTML), optionally the page path it is about (for example /datasets/fred) and an optional credit handle (letters, digits, _ or -, at most 40). Do not include personal information. Limit: 5 an hour per caller.

NameTypeReqDescription
handlestring–Optional credit handle (your agent or name): letters, digits, _ or -
messagestringyesWhat to fix or add, plain text, 10-500 characters
pagestring–Optional site path only, starting with /, no query string or fragment; for example /datasets/fred
typestringyesWhat kind of feedback it is

No output schema declared.

No examples provided.

get_entry ~55

Return one catalog entry by slug, with every field the catalog has for it (limits, coverage, auth, license, licenseNote, source URLs, lastVerified). Get slugs from search_catalog.

NameTypeReqDescription
slugstringyes–

No output schema declared.

No examples provided.

get_ingestion_skill ~129

Return the agent-ready ingestion skill for one data source as markdown: how to get access, the exact request or download, the response format, a Python snippet that loads it into pandas and writes Parquet (or keeps it in memory where the provider's terms limit storage or leave it unclear), limits, known quirks, terms and attribution, and the provider pages it was written from, with quotes. Call it without a slug to list the sources that have a skill so far.

NameTypeReqDescription
slugstring–Entry slug, for example fred or gdelt; leave out to list available skills

No output schema declared.

No examples provided.

get_source_urls ~343

Return where each entry's data comes from: the provider's site, docs and evidence pages, the license or terms URL with the license note, and the lastVerified date, plus the Signal Lab page. Pass up to 25 slugs, or the same filters as search_catalog (all entries if none). A URL the catalog does not record is left out.

NameTypeReqDescription
authstring–What sign-up is needed, as the catalog records it, for example none or free API key
badgestring–Access type: Free, Open Source, Freemium or Unofficial
categorystring–The catalog's category, for example Market Data or Macro
domainstring–Data domain: Financial, Global Macro, Energy, Agriculture & Food, Money Flows, Transport & Shipping, Weather, News & RSS, OSINT or Cyber Threat
licensestring–The catalog's license value, for example Provider terms or MIT
querystring–Words or known alias concepts that must all match catalog text. Aliases match whole terms; other words use substring matching
slugsarray–Entry slugs; when given, filters are ignored
taskstring–One task tag, for example macro or market-data
typestring–Kind of entry, for example Dataset or Tool
verifiedboolean–true: only entries counted as Verified resources in llms.txt; false: only the others (Signal Lab originals, license unknown)
verified_sincestring–Only entries whose lastVerified date is on or after this date (YYYY-MM-DD)

No output schema declared.

No examples provided.

list_filters ~50

List the values the catalog uses for type, badge, auth, category, domain, license, task, verified and lastVerified, with how many entries have each. Call this first to pick exact filter values.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

search_catalog ~424

Find free and free-to-start data sources (financial markets, global macro, energy, agriculture and food, money flows, transport and shipping, weather, news & RSS, OSINT, cyber threat), tools and models in the Signal Lab catalog by text and by filters (domain, category, type, access badge, sign-up needed, license, task, verified, verified_since; see list_filters for the values). With a query, returns up to 25 summary rows in relevance order (name, slug and task concept matches first), then name A to Z; without a query, name A to Z. Each row has lastVerified and sitePageUrl. Use get_entry for every field of one entry, export_catalog for the whole list, get_source_urls for provider and terms links.

NameTypeReqDescription
authstring–What sign-up is needed, as the catalog records it, for example none or free API key
badgestring–Access type: Free, Open Source, Freemium or Unofficial
categorystring–The catalog's category, for example Market Data or Macro
domainstring–Data domain: Financial, Global Macro, Energy, Agriculture & Food, Money Flows, Transport & Shipping, Weather, News & RSS, OSINT or Cyber Threat
licensestring–The catalog's license value, for example Provider terms or MIT
limitinteger–Default 10, at most 25
querystring–Words or known alias concepts that must all match catalog text. Aliases match whole terms; other words use substring matching
taskstring–One task tag, for example macro or market-data
typestring–Kind of entry, for example Dataset or Tool
verifiedboolean–true: only entries counted as Verified resources in llms.txt; false: only the others (Signal Lab originals, license unknown)
verified_sincestring–Only entries whose lastVerified date is on or after this date (YYYY-MM-DD)

No output schema declared.

No examples provided.

suggest_source ~231

Send us a free or open data source we do not list yet. It goes into a private queue and is checked like every listing (free access, terms, policy); nothing is published automatically and the URL is not visited by this server. Give the provider's own https page (no shorteners, IP addresses, paste or leak sites, malware hosts or dark-web links), its name, a domain from the list, and why it is useful in at most 280 characters. Optional handle (letters, digits, _ or -, at most 40) may be credited as plain text if the source is listed. Do not include personal information. Limit: 5 an hour per caller.

NameTypeReqDescription
domainstringyesWhich kind of data it is
handlestring–Optional credit handle: letters, digits, _ or -
namestringyesName of the source or provider
reasonstringyesWhy it is useful, plain text, at most 280 characters
urlstringyesThe provider's own https page for the data, for example its API docs

No output schema declared.

No examples provided.

Install

How do I install the Signal Lab: free data for trading and AI agents MCP server?

Signal Lab: free data for trading and AI agents is a hosted endpoint at https://signal-lab-jet.vercel.app/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · signal-lab-jet.vercel.app

# add to Claude Code
claude mcp add --transport http qdthead-signal-lab 'https://signal-lab-jet.vercel.app/api/mcp'
Common questions

What is the Signal Lab: free data for trading and AI agents MCP server?

Signal Lab: free data for trading and AI agents is an MCP server listed in the public MCP registry as io.github.QDThead/signal-lab. Search and export free market, macro, weather, news and OSINT data sources, with terms and skills. This page covers its hosted endpoint (https://signal-lab-jet.vercel.app/api/mcp).

Is the Signal Lab: free data for trading and AI agents MCP server safe to use?

Signal Lab: free data for trading and AI agents scores 73 out of 100 on VerifyMCP. 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 Signal Lab: free data for trading and AI agents MCP server expose?

Signal Lab: free data for trading and AI agents exposes 10 tools: search_catalog, get_entry, compare_entries, list_filters, catalog_info, and 5 more. Their descriptions and schemas cost roughly 1,897 tokens of context every time the server is loaded.

Does the Signal Lab: free data for trading and AI agents MCP server require authentication?

No. We connected to Signal Lab: free data for trading and AI agents without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Signal Lab: free data for trading and AI agents MCP server still maintained?

Signal Lab: free data for trading and AI agents 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.