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Citiview Agent Market

REMOTE · MCP.CITIVIEWGROUP.COM

186 pay-per-call tools: search, LLMs, UK KYB, FRED, Census, maps, crypto. x402 USDC.

67 Trust /100

Last scanned (5 hours ago)

Scores higher than 57% of remote servers

Reachable. Last reached 17 Oct 2026.

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 Security63
Transport & Reachability100
Schema Quality & AI Usability76
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 25741 tokens (~121/item across 212 items; 211 tools + 1 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 Management10
  • Stability observed for 3 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage85
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 54% 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 211 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 213 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 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.

  • 16 Oct 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.

  • 15 Oct 26 +1
    • Judged manipulation: unverified → pass ▲ security
    • The server rewrote its instructions, which are the text every model session reads security
    • Tool “address_verify” rewrote its description, which is the text the model reads security
    • Tool “audio_transcriptions” rewrote its description, which is the text the model reads security
    • Tool “chart” rewrote its description, which is the text the model reads security
    • Tool “chat_completions” rewrote its description, which is the text the model reads security
    • Tool “chunk” rewrote its description, which is the text the model reads security
    • Tool “citecheck” rewrote its description, which is the text the model reads security
    • Tool “coder_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “crypto_price” rewrote its description, which is the text the model reads security
    • Tool “defi_yields” rewrote its description, which is the text the model reads security
    • Tool “document” rewrote its description, which is the text the model reads security
    • Tool “domain” rewrote its description, which is the text the model reads security
    • Tool “economy” rewrote its description, which is the text the model reads security
    • Tool “email_verify” rewrote its description, which is the text the model reads security
    • Tool “embed” rewrote its description, which is the text the model reads security
    • Tool “embeddings” rewrote its description, which is the text the model reads security
    • Tool “energy” rewrote its description, which is the text the model reads security
    • Tool “errorfix” rewrote its description, which is the text the model reads security
    • Tool “extract” rewrote its description, which is the text the model reads security
    • Tool “fred_search” rewrote its description, which is the text the model reads security
    • Tool “fred_series” rewrote its description, which is the text the model reads security
    • Tool “fun” rewrote its description, which is the text the model reads security
    • Tool “fx” rewrote its description, which is the text the model reads security
    • Tool “gemma_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “geocode” rewrote its description, which is the text the model reads security
    • Tool “glm_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “gpt_oss_20b_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “gpt_oss_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “grade” rewrote its description, which is the text the model reads security
    • Tool “image_describe” rewrote its description, which is the text the model reads security
    • Tool “image_generate” rewrote its description, which is the text the model reads security
    • Tool “inflation_breakdown” rewrote its description, which is the text the model reads security
    • Tool “inflation_calculator” rewrote its description, which is the text the model reads security
    • Tool “isochrone” rewrote its description, which is the text the model reads security
    • Tool “labor” rewrote its description, which is the text the model reads security
    • Tool “labor_state” rewrote its description, which is the text the model reads security
    • Tool “large_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “llama4_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “llm_large” rewrote its description, which is the text the model reads security
    • Tool “macro_us” rewrote its description, which is the text the model reads security
    • Tool “map_static” rewrote its description, which is the text the model reads security
    • Tool “markdown” rewrote its description, which is the text the model reads security
    • Tool “memory” rewrote its description, which is the text the model reads security
    • Tool “mistral_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “moderate” rewrote its description, which is the text the model reads security
    • Tool “moderations” rewrote its description, which is the text the model reads security
    • Tool “nemotron_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “news” rewrote its description, which is the text the model reads security
    • Tool “papers” rewrote its description, which is the text the model reads security
    • Tool “pdf” rewrote its description, which is the text the model reads security
    • Tool “predictions” rewrote its description, which is the text the model reads security
    • Tool “qr” rewrote its description, which is the text the model reads security
    • Tool “qwen_chat_completions” rewrote its description, which is the text the model reads security
    • Tool “rates” rewrote its description, which is the text the model reads security
    • Tool “recession” rewrote its description, which is the text the model reads security
    • Tool “rerank” rewrote its description, which is the text the model reads security
    • Tool “route” rewrote its description, which is the text the model reads security
    • Tool “route_matrix” rewrote its description, which is the text the model reads security
    • Tool “rpc” rewrote its description, which is the text the model reads security
    • Tool “sanctions” rewrote its description, which is the text the model reads security
    • Tool “scrape” rewrote its description, which is the text the model reads security
    • Tool “screenshot” rewrote its description, which is the text the model reads security
    • Tool “search” rewrote its description, which is the text the model reads security
    • Tool “second_opinion” rewrote its description, which is the text the model reads security
    • Tool “sentiment” rewrote its description, which is the text the model reads security
    • Tool “serp” rewrote its description, which is the text the model reads security
    • Tool “solana_priority_fee” rewrote its description, which is the text the model reads security
    • Tool “speak” rewrote its description, which is the text the model reads security
    • Tool “summarize” rewrote its description, which is the text the model reads security
    • Tool “token_report” rewrote its description, which is the text the model reads security
    • Tool “transcribe” rewrote its description, which is the text the model reads security
    • Tool “translate” rewrote its description, which is the text the model reads security
    • Tool “wages” rewrote its description, which is the text the model reads security
    • Tool “wallet” rewrote its description, which is the text the model reads security
    • Tool “weather” rewrote its description, which is the text the model reads security
    • Schema quality: 108 → 121 ▼ functional
    • Stability: unverified → 0.03 ▲ functional
    • New tool “browser_act” functional
    • New tool “browser_start” functional
    • New tool “code_run” functional
    • New tool “crawl” functional
    • New tool “db” functional
    • New tool “deepseek_chat_completions” functional
    • New tool “deepseek_pro_chat_completions” functional
    • New tool “docs_ask” functional
    • New tool “firewall” functional
    • New tool “glm5_chat_completions” functional
    • New tool “glm5_flash_chat_completions” functional
    • New tool “granite_chat_completions” functional
    • New tool “image_inpaint” functional
    • New tool “image_pro” functional
    • New tool “kimi_chat_completions” functional
    • New tool “kimi_code_chat_completions” functional
    • New tool “kya” functional
    • New tool “qwen3_8_chat_completions” functional
    • New tool “qwq_chat_completions” functional
    • New tool “r1_chat_completions” functional
    • New tool “sea_lion_chat_completions” functional
    • New tool “speak_pro” functional
    • New tool “storage” functional
    • New tool “transcribe_pro” functional
    • New tool “vectors” functional
  • 14 Oct 26 65

    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 17 Oct 2026 · Probed https://mcp.citiviewgroup.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=citiviewgroup.com CN=WE1,O=Google Trust Services,C=US 13 Oct 2026 11 Jan 2027 ECDSA 256 ECDSA-SHA256 8a7728d4868f4aad0ea11bebd49d9317
SANs: citiviewgroup.com, mcp.citiviewgroup.com, *.mcp.citiviewgroup.com
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.citiviewgroup.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
citiviewgroup.com. 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

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

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.citiviewgroup.com/mcp Verified 200
http (plaintext) http://mcp.citiviewgroup.com/mcp Inconclusive 406
MCP tools · 211 exposed · ~25,582 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
labor ~134

US labor and price statistics from the Bureau of Labor Statistics: CPI and core CPI, unemployment, payrolls, average hourly earnings, PPI, participation and job openings (or any BLS series id), with 12-month change. Costs $0.004 USDC per call (x402).

NameTypeReqDescription
indicatorsstring–Comma list: cpi, core_cpi, unemployment, payrolls, avg_hourly_earnings, ppi, labor_participation, job_openings
pointsinteger––
seriesstring–BLS series ids
start_yearinteger––

No output schema declared.

No examples provided.

labor_state ~74

US unemployment by state: one state's rate, labor force, employed and unemployed with 13 months of history, or all 50 states plus DC ranked lowest to highest. Costs $0.004 USDC per call (x402).

NameTypeReqDescription
statestring–State name or 2-letter code; omit for the ranking

No output schema declared.

No examples provided.

large_chat_completions ~220

OpenAI-compatible chat completions on Meta Llama 3.3 70B, strong general chat with tool calling. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/large and pay per token with x402 instead of an API key: $0.879 per million input and $6.759 per million output tokens, minimum $0.002 a call, at most $0.0219. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, streaming supported), up to 2048 output tokens. Costs $0.0219 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
modelstring–Ignored; always llama-3.3-70b
streamboolean––
temperaturenumber––
toolsarray–OpenAI function tools

No output schema declared.

No examples provided.

legal ~87

US court cases and federal regulations: searches court opinions (CourtListener) and Federal Register rules, proposed rules and notices, with case names, courts, dates, citations, agencies and links. Costs $0.005 USDC per call (x402).

NameTypeReqDescription
limitinteger––
qstringyes–
typestring–all (default) | cases | regulations

No output schema declared.

No examples provided.

libdocs ~108

Current library docs for agents with stale training: the latest version of an npm or PyPI package, how to use it now, and the breaking changes since the version you know, from its README and changelog. Costs $0.02 USDC per call (x402).

NameTypeReqDescription
asyncboolean––
ecosystemstring–npm | pypi
from_versionstring–Version you know
packagestringyes–
questionstring––

No output schema declared.

No examples provided.

link ~76

Link safety check: is this URL malware or phishing? Checks Cloudflare's security DNS blocklist, domain age, look-alike and brand-impersonation tricks, shorteners and the redirect chain, then gives a verdict and risk score. Costs $0.003 USDC per call (x402).

NameTypeReqDescription
urlstringyes–

No output schema declared.

No examples provided.

llama4_chat_completions ~225

OpenAI-compatible chat completions on Meta Llama 4 Scout, multimodal (image input) with tool calling. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/llama4 and pay per token with x402 instead of an API key: $0.81 per million input and $2.55 per million output tokens, minimum $0.002 a call, at most $0.0145. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, image input, streaming supported), up to 2048 output tokens. Costs $0.0145 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
modelstring–Ignored; always llama-4-scout-17b
streamboolean––
temperaturenumber––
toolsarray–OpenAI function tools

No output schema declared.

No examples provided.

llm ~91

Pay-per-call LLM chat completion (Llama 3.1 8B, fast), no API key. Send OpenAI-style messages, get the assistant reply. Flat price per request, up to 2k output tokens. Costs $0.005 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
temperaturenumber––

No output schema declared.

No examples provided.

llm_large ~96

Pay-per-call LLM chat completion on Llama 3.3 70B for harder reasoning, no API key. Same OpenAI-style messages body as /v1/llm. Flat price per request, up to 2k output tokens. Costs $0.02 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
temperaturenumber––

No output schema declared.

No examples provided.

macro_us ~79

US economy snapshot in one call: real GDP growth, CPI and core PCE inflation, unemployment, payroll change, retail sales, industrial production, housing starts, M2, fed funds, 10-year yield, WTI oil and the euro exchange rate, each with the previous value. Costs $0.008 USDC per call (x402).

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

mailbox ~100

Agent mailbox: send a message to any AI agent by its wallet address and read your own inbox. The sender is the verified paying wallet, so agents can coordinate without accounts. Costs $0.002 USDC per call (x402).

NameTypeReqDescription
actionstringyessend | read | delete
bodystring––
sinceinteger––
subjectstring––
tostring–Recipient 0x wallet

No output schema declared.

No examples provided.

map_static ~142

Static map image (JPEG) of a place or up to 15 numbered markers, in 7 styles and any size up to 1600 px, returned as base64 and a data URL ready for reports, emails and chat. Costs $0.004 USDC per call (x402).

NameTypeReqDescription
centerstring–Place to center on
heightinteger––
markersstring–| separated places or lat,lon
stylestring–osm-bright, osm-carto, positron, dark-matter, toner, klokantech-basic
widthinteger––
zoominteger––

No output schema declared.

No examples provided.

markdown ~69

Fetch any public web page with a real headless browser (JavaScript rendered) and return clean Markdown. Use to read articles, docs, product pages or SPAs that a plain fetch cannot render. Costs $0.004 USDC per call (x402).

NameTypeReqDescription
urlstringyesPage URL

No output schema declared.

No examples provided.

meeting ~118

Meeting planner: finds times that fall inside everyone's working hours across time zones over the next days, shows each person's local time, and returns a calendar invite (.ics) for the first slot. Costs $0.002 USDC per call (x402).

NameTypeReqDescription
daysinteger––
duration_minutesinteger––
participantsstring–JSON [{tz, start, end, name}]
timezonesstring–Comma list of IANA zones
titlestring––
weekendsboolean––

No output schema declared.

No examples provided.

memory ~120

Agent memory: save, get, search, list and delete notes that persist between sessions, private to the wallet that pays. Up to 2,000 keys per wallet, 16,000 characters per value. Pay with an EVM wallet. Costs $0.003 USDC per call (x402).

NameTypeReqDescription
actionstringyessave | get | search | list | delete
keystring––
limitinteger––
querystring–Text to search for (search)
valuestring––

No output schema declared.

No examples provided.

mistral_chat_completions ~227

OpenAI-compatible chat completions on Mistral Small 3.1 24B, tool calling and image input. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/mistral and pay per token with x402 instead of an API key: $1.053 per million input and $1.665 per million output tokens, minimum $0.002 a call, at most $0.0124. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, image input, streaming supported), up to 2048 output tokens. Costs $0.0124 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
modelstring–Ignored; always mistral-small-3.1-24b
streamboolean––
temperaturenumber––
toolsarray–OpenAI function tools

No output schema declared.

No examples provided.

moderate ~130

Safety check (Llama Guard 3): classify up to 10 texts as safe or unsafe with hazard categories (violence, weapons, hate, self-harm, sexual content, privacy, elections and more). Check user input or your own reply before posting. Priced by size: $0.003 + $0.0004 per text + $0.0004 per 1,000 characters. Costs $0.03 USDC per call (x402).

NameTypeReqDescription
rolestring–user (default) or assistant
textstring––
textsarray––

No output schema declared.

No examples provided.

moderations ~128

OpenAI-compatible moderation (Llama Guard 3): same response shape as OpenAI /v1/moderations with flagged, categories and category_scores, plus the raw Llama Guard codes. Up to 10 inputs per call. Priced by size: $0.003 + $0.0004 per input + $0.0004 per 1,000 characters. Costs $0.03 USDC per call (x402).

NameTypeReqDescription
inputstringyesText to check (POST also accepts an array of up to 10)
modelstring–Ignored

No output schema declared.

No examples provided.

nemotron_chat_completions ~221

OpenAI-compatible chat completions on NVIDIA Nemotron 3 120B, agentic reasoning with tool calling. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/nemotron and pay per token with x402 instead of an API key: $1.5 per million input and $4.5 per million output tokens, minimum $0.002 a call, at most $0.0274. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, reasoning, streaming supported), up to 4096 output tokens. Costs $0.0274 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
modelstring–Ignored; always nemotron-3-120b
streamboolean––
temperaturenumber––
toolsarray–OpenAI function tools

No output schema declared.

No examples provided.

news ~105

Latest news headlines matching a query from 12 major outlets (BBC, NPR, Guardian, Al Jazeera, CBC, CNBC, NYT, TechCrunch, Verge, Ars Technica, CoinDesk, ESPN) plus Hacker News. Titles, links, source and time. Costs $0.006 USDC per call (x402).

NameTypeReqDescription
limitinteger–1 to 50, default 20
qstring–Search terms; omit for top headlines

No output schema declared.

No examples provided.

nft ~109

NFT lookup on Ethereum, Base, Polygon, Arbitrum or Optimism: collection name, symbol, standard and supply; with token_id also the current owner and resolved metadata (name, description, image, attributes) from IPFS/Arweave/HTTP. Costs $0.003 USDC per call (x402).

NameTypeReqDescription
chainstring–ethereum (default) | base | polygon | arbitrum | optimism
contractstringyes–
token_idstring––

No output schema declared.

No examples provided.

nft_floor ~61

Floor price for any Ethereum NFT collection on OpenSea and LooksRare, with the collection name, supply, standard, description, image and social links. Costs $0.003 USDC per call (x402).

NameTypeReqDescription
contractstringyesNFT contract address

No output schema declared.

No examples provided.

nutrition ~66

Nutrition facts (USDA FoodData Central): calories, protein, fat, carbs, fiber, sugar, sodium and key minerals for foods and branded products. Costs $0.003 USDC per call (x402).

NameTypeReqDescription
limitinteger––
qstringyesFood

No output schema declared.

No examples provided.

nutrition_recipe ~105

Nutrition facts for a whole recipe: give ingredients with household amounts (cups, tbsp, grams, pieces) and servings; returns calories, protein, fat, saturated fat, carbs, fiber, sugar, sodium, cholesterol and potassium per serving and in total, macro split and the USDA match for each ingredient. Costs $0.01 USDC per call (x402).

NameTypeReqDescription
ingredientsstringyesOne per line or | separated, with amounts
servingsinteger––

No output schema declared.

No examples provided.

office ~130

Make office files: an Excel spreadsheet (or CSV) from JSON rows or CSV text, or a Word document from Markdown (headings, bullets, bold, tables). Returns the file as base64, ready to save or attach. Costs $0.01 USDC per call (x402).

NameTypeReqDescription
datastring–JSON array of objects or CSV text (xlsx/csv)
filenamestring––
formatstring–xlsx (default) | csv | docx
markdownstring–Document text (docx)
sheetstring–Sheet name

No output schema declared.

No examples provided.

page_actions ~78

Page action map for browser automation: every form (fields, labels, required flags), button and link on a page with ready CSS selectors, so an agent can plan clicks and form fills before opening a browser. Costs $0.005 USDC per call (x402).

NameTypeReqDescription
max_linksinteger––
urlstringyes–

No output schema declared.

No examples provided.

papers ~109

Academic paper search across 250M+ works (OpenAlex): title, authors, year, venue, DOI, open-access PDF link, citation count and abstract. Sort by relevance, most recent or most cited. Costs $0.006 USDC per call (x402).

NameTypeReqDescription
from_yearinteger––
limitinteger–1 to 25, default 10
qstringyes–
sortstring–relevance (default) | recent | cited

No output schema declared.

No examples provided.

password_check ~98

Breached password check: is this password in known data breaches, and how often? Send only the SHA-1 hash (never the password); just the first 5 characters reach Have I Been Pwned (k-anonymity). Up to 50 hashes per call. Costs $0.002 USDC per call (x402).

NameTypeReqDescription
sha1stringyesSHA-1 hash(es), 40 hex each, comma separated

No output schema declared.

No examples provided.

pdf ~72

Render a URL or raw HTML to a PDF file with a headless browser. Returns the PDF bytes. Use for invoices, reports, receipts, archiving pages. Costs $0.009 USDC per call (x402).

NameTypeReqDescription
htmlstring–Raw HTML instead of url
urlstring––

No output schema declared.

No examples provided.

pdf_fill ~125

PDF forms: list the fillable fields of any PDF, fill them (text, checkboxes, dropdowns) and optionally flatten, or merge up to 10 PDFs into one. Returns the finished PDF as base64. Costs $0.01 USDC per call (x402).

NameTypeReqDescription
actionstring–list | fill | merge
fieldsstring–JSON {field name: value}
flattenboolean––
pdf_base64string––
urlstring––
urlsstring–| separated (merge)

No output schema declared.

No examples provided.

perps ~113

Perpetual futures market data from Hyperliquid: mark and oracle price, 24h change, hourly and annualized funding rate, open interest, 24h volume, premium and max leverage. Pick coins or get the top markets by volume. Costs $0.002 USDC per call (x402).

NameTypeReqDescription
coinsstring–Comma list, e.g. BTC,ETH,SOL; omit for top by volume
limitinteger–1 to 200, default 20

No output schema declared.

No examples provided.

phone ~88

Phone number check: validates a number and returns its country, line type (mobile, fixed line, toll free, VoIP...) and E.164, international and national formats, from Google's libphonenumber data. Costs $0.002 USDC per call (x402).

NameTypeReqDescription
countrystring–2-letter country if the number has no +code
numberstringyes–

No output schema declared.

No examples provided.

places ~113

Places search: find businesses and points of interest (cafes, pharmacies, hotels, ATMs, restaurants...) near a city, address or coordinates from OpenStreetMap, with category, address, coordinates and distance. Costs $0.005 USDC per call (x402).

NameTypeReqDescription
latnumber––
limitinteger––
lonnumber––
nearstring–City or address
qstringyes–
radius_minteger–Default 3000

No output schema declared.

No examples provided.

plan ~75

Tool plan with cost: breaks a goal into steps and finds the cheapest paid API for each step (this marketplace and the whole x402 directory), with the estimated total cost before you spend anything. Costs $0.01 USDC per call (x402).

NameTypeReqDescription
budget_usdnumber––
goalstringyes–

No output schema declared.

No examples provided.

predictions ~100

Live prediction market odds from Polymarket: search any topic or get the most-traded markets. Returns each outcome's implied probability, 24h and total volume, liquidity, end date and link. Costs $0.006 USDC per call (x402).

NameTypeReqDescription
limitinteger–1 to 50, default 10
qstring–Topic, e.g. bitcoin, election, fed rates; omit for top markets

No output schema declared.

No examples provided.

profile ~109

Agent profile hosting: publish a public profile page and an A2A agent card for your agent at agents.citiviewgroup.com/agents/<name>, owned by your wallet. Update it any time. Costs $0.01 USDC per call (x402).

NameTypeReqDescription
contactstring––
descriptionstringyes–
namestringyes–
skillsstring–| separated
slugstring––
urlstring–Your agent's endpoint

No output schema declared.

No examples provided.

qr ~116

QR codes: make a QR code (PNG or SVG, any size, error-correction level) from text or a URL, or read the text from a QR code in a PNG or JPEG image. Costs $0.0025 USDC per call (x402).

NameTypeReqDescription
formatstring–png (default) | svg
image_base64string––
image_urlstring–Read a QR code instead
sizeinteger––
textstring–Text or URL to encode

No output schema declared.

No examples provided.

qwen_chat_completions ~229

OpenAI-compatible chat completions on Alibaba Qwen3 30B mixture-of-experts, thinking model with tool calling, the cheapest chat here. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/qwen and pay per token with x402 instead of an API key: $0.153 per million input and $1.005 per million output tokens, minimum $0.002 a call, at most $0.0072. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, reasoning, streaming supported), up to 4096 output tokens. Costs $0.0072 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
modelstring–Ignored; always qwen3-30b-a3b
streamboolean––
temperaturenumber––
toolsarray–OpenAI function tools

No output schema declared.

No examples provided.

qwen3_8_chat_completions ~238

OpenAI-compatible chat completions on Alibaba Qwen 3.8 27B, the newest Qwen with reasoning, tool calling and a 262K context. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/qwen3.8 and pay per token with x402 instead of an API key: $0.9 per million input and $6.4 per million output tokens, minimum $0.002 a call, at most $0.1059. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, reasoning, streaming supported), up to 8192 output tokens. Costs $0.1059 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
modelstring–Ignored; always qwen3.8-27b
streamboolean––
temperaturenumber––
toolsarray–OpenAI function tools

No output schema declared.

No examples provided.

qwq_chat_completions ~205

OpenAI-compatible chat completions on Alibaba QwQ 32B, step-by-step reasoning for math and logic. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/qwq and pay per token with x402 instead of an API key: $1.32 per million input and $2 per million output tokens, minimum $0.002 a call, at most $0.0335. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (reasoning, streaming supported), up to 8192 output tokens. Costs $0.0335 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
modelstring–Ignored; always qwq-32b
streamboolean––
temperaturenumber––

No output schema declared.

No examples provided.

r1_chat_completions ~213

OpenAI-compatible chat completions on DeepSeek R1 Distill (Qwen 32B), chain-of-thought reasoning model. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/r1 and pay per token with x402 instead of an API key: $0.994 per million input and $9.762 per million output tokens, minimum $0.002 a call, at most $0.1104. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (reasoning, streaming supported), up to 8192 output tokens. Costs $0.1104 USDC per call (x402).

NameTypeReqDescription
max_tokensinteger––
messagesarrayyes–
modelstring–Ignored; always deepseek-r1-distill-32b
streamboolean––
temperaturenumber––

No output schema declared.

No examples provided.

random ~106

Verifiable random numbers from the drand public beacon (League of Entropy): numbers in a range, or a fair shuffle and pick of your items, with the beacon round so anyone can re-check the result. Costs $0.002 USDC per call (x402).

NameTypeReqDescription
countinteger––
itemsstring–| separated items to shuffle or pick from
maxinteger––
mininteger––
saltstring––

No output schema declared.

No examples provided.

rates ~85

US interest rates now: fed funds, SOFR, prime rate, 3-month bill, 2, 10 and 30-year Treasury yields and the 10y-2y and 10y-3m spreads, with change over 1 month and 1 year and whether the yield curve is inverted. Costs $0.005 USDC per call (x402).

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

read_bulk ~99

Bulk reader: up to 20 web pages read and cleaned to text in one call (instead of 20 separate calls), each trimmed to your character limit. Unreadable pages are flagged, not failed. Costs $0.02 USDC per call (x402).

NameTypeReqDescription
asyncboolean––
max_charsinteger–Per page, default 6000
urlsstringyes| separated, up to 20

No output schema declared.

No examples provided.

recession ~78

US recession dashboard: yield-curve inversions (10y-3m and 10y-2y), real-time Sahm rule, smoothed recession probability, Chicago Fed financial conditions and the unemployment rise from its low, each with whether it is flashing, plus an overall verdict. Costs $0.006 USDC per call (x402).

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

rerank ~80

Rerank up to 100 documents by relevance to a query (BGE reranker). Returns indices and scores, best first. Drop-in step for RAG and search pipelines. Costs $0.003 USDC per call (x402).

NameTypeReqDescription
documentsarrayyes–
querystringyes–
top_kinteger––

No output schema declared.

No examples provided.

research ~77

Deep research report: plans several searches, reads up to 8 sources and writes a structured Markdown report (summary, key findings, details, open questions, numbered sources) with inline citations. Takes 20 to 60 seconds. Costs $0.10 USDC per call (x402).

NameTypeReqDescription
topicstringyesResearch topic or question

No output schema declared.

No examples provided.

route ~157

Directions between places (addresses, names or lat,lon) with optional stops: distance in km and miles, travel time, and turn-by-turn steps for driving, trucks, cycling, walking or transit, avoiding tolls, highways or ferries; optional GeoJSON route line. Costs $0.005 USDC per call (x402).

NameTypeReqDescription
avoidstring–tolls|highways|ferries
fromstringyes–
geometryboolean–true to include the route line
modestring–drive (default), truck, bicycle, walk, transit, ...
tostringyes–
unitsstring–metric or imperial
viastring–Stops separated by |

No output schema declared.

No examples provided.

route_matrix ~92

Travel time and distance matrix between up to 50 origin-destination pairs (places or lat,lon) by car, truck, bike or foot, with the closest pair. For dispatching, store finders and delivery planning. Costs $0.008 USDC per call (x402).

NameTypeReqDescription
destinationsstringyes| separated
modestring––
originsstringyes| separated

No output schema declared.

No examples provided.

rpc ~114

JSON-RPC read access to EVM chains (base, ethereum, polygon, arbitrum, optimism) with no API key. Send a standard JSON-RPC body (eth_call, eth_getBalance, eth_blockNumber, eth_getLogs). Costs $0.0025 USDC per call (x402).

NameTypeReqDescription
chainstringyesbase | ethereum | polygon | arbitrum | optimism
id–––
jsonrpcstring––
methodstringyes–
paramsarray––

No output schema declared.

No examples provided.

Install

How do I install the Citiview Agent Market MCP server?

Citiview Agent Market is a hosted endpoint at https://mcp.citiviewgroup.com/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 · mcp.citiviewgroup.com

# add to Claude Code
claude mcp add --transport http com-citiviewgroup-mcp-agent-market 'https://mcp.citiviewgroup.com/mcp'
Common questions

What is the Citiview Agent Market MCP server?

Citiview Agent Market is an MCP server listed in the public MCP registry as com.citiviewgroup.mcp/agent-market. 186 pay-per-call tools: search, LLMs, UK KYB, FRED, Census, maps, crypto. x402 USDC. This page covers its hosted endpoint (https://mcp.citiviewgroup.com/mcp).

Is the Citiview Agent Market MCP server safe to use?

Citiview Agent Market scores 67 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 Citiview Agent Market MCP server expose?

Citiview Agent Market exposes 211 tools: search, markdown, extract, scrape, pdf, and 206 more. Their descriptions and schemas cost roughly 25,582 tokens of context every time the server is loaded.

Does the Citiview Agent Market MCP server require authentication?

No. We connected to Citiview Agent Market without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Citiview Agent Market MCP server still maintained?

Citiview Agent Market is still listed as active in the MCP registry. We last reached this channel on 17 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.