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X402 Factory

by praneeth12098version 1.0.0i★ –iRuns in the cloud
Registry nameio.github.praneeth12098/x402-factory

Install

Overview

Description from the maker (original English)

200+ x402 paid data APIs for AI agents: prediction markets, verified weather, econ, SEC filings

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Accounting, finance & tax

Install

Pick the AI app you use, then copy the settings.

Before you install

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://x402-factory.com/mcp

Run this in your terminal

claude mcp add --transport http x402-factory https://x402-factory.com/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "x402-factory": {
      "url": "https://x402-factory.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "x402-factory": {
      "type": "http",
      "url": "https://x402-factory.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://x402-factory.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

  • core_ping

    Cheapest endpoint: liveness plus x402 payment pipeline check. Returns ok with the server time and whether this call was paid. Use it to verify your x402 client end to end before spending on data endpoints. [HTTP: GET /v1/ping · price $0.001 via x402 · docs https://x402-factory.co

  • econ_calendar

    Upcoming US economic release dates across all tracked series. Every tracked US economic series (CPI, payrolls, GDP, PCE, claims, housing, and more) with its next scheduled release date from the agencies' published calendars, sorted soonest first. The cheap planning read before pa

  • econ_dashboard

    US macro dashboard: every tracked series' latest print in one call. All tracked US economic series in one response: the latest headline print (with its date and a revised flag) plus each series' next scheduled release date. The one-call state of the US economy for agents that wou

  • econ_dashboard_changes

    Free: count of econ observations printed or revised changed since your cursor. Free polling probe for /v1/econ/dashboard/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/eco

  • econ_dashboard_delta

    Only the econ observations printed or revised changed since your cursor (delta o. Keyset delta of /v1/econ/dashboard: pass since= and get only the econ observations printed or revised added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstra

  • econ_series

    US economic series: latest print, revisions, surprise vs labeled expectation. One tracked US economic series (BLS/BEA/Fed/Census via FRED/ALFRED): the latest print with first-release vs latest value (revisions never masquerade as print-day numbers), surprise against a labeled exp

  • econ_series_building-permits

    Building permits (Census, monthly): latest print, revisions, surprise. Latest Building permits print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied w

  • econ_series_core-cpi

    Core CPI inflation (BLS, monthly): latest print, revisions, surprise. Latest Core CPI inflation print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied whe

  • econ_series_core-pce

    Core PCE inflation (BEA, monthly): latest print, revisions, surprise. Latest Core PCE inflation print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied whe

  • econ_series_cpi

    CPI inflation (BLS, monthly): latest print, revisions, surprise. Latest CPI inflation print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matchi

  • econ_series_fed-funds

    Effective fed funds rate (Fed, monthly): latest print, revisions, surprise. Latest Effective fed funds rate print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market

  • econ_series_gdp-growth

    Real GDP growth (BEA, quarterly): latest print, revisions, surprise. Latest Real GDP growth print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a

  • econ_series_housing-starts

    Housing starts (Census, monthly): latest print, revisions, surprise. Latest Housing starts print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when

  • econ_series_initial-claims

    Initial jobless claims (DOL, weekly): latest print, revisions, surprise. Latest Initial jobless claims print from the DOL via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-impl

  • econ_series_payrolls

    Nonfarm payrolls (BLS, monthly): latest print, revisions, surprise. Latest Nonfarm payrolls print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a

  • econ_series_pce-inflation

    PCE inflation (BEA, monthly): latest print, revisions, surprise. Latest PCE inflation print from the BEA via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when a matchi

  • econ_series_retail-sales

    Advance retail sales (Census, monthly): latest print, revisions, surprise. Latest Advance retail sales print from the Census via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-i

  • econ_series_treasury-10y

    10-year Treasury yield (Fed, daily): latest print, revisions, surprise. Latest 10-year Treasury yield print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-impli

  • econ_series_treasury-2y

    2-year Treasury yield (Fed, daily): latest print, revisions, surprise. Latest 2-year Treasury yield print from the Fed via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied

  • econ_series_unemployment

    Unemployment rate (BLS, monthly): latest print, revisions, surprise. Latest Unemployment rate print from the BLS via FRED/ALFRED: first-release vs latest value with a revised flag (revisions never pose as print-day numbers), surprise vs a labeled expectation (market-implied when

  • edge_backtest

    Historical performance of the edge signal: hit rate, calibration, by hazard. Aggregates stored edge signals whose markets have resolved: how often the model beat the market (hit rate), average absolute-error improvement (edge captured), a model calibration curve, and per-hazard b

  • edge_calibration

    Free: per-class edge-signal calibration (the gate deciding what we sell). Reliability table for every weather market class we compute edge signals on: resolved-signal count, predicted-vs-realized by model-probability decile, and whether the class is on the calibration allowlist t

  • edge_climate-events-probability

    Weather-event probability: temp at covered stations; precip/wind any US point. Our model's probability that a condition occurs in a future window up to 31 days out, with the method labeled. Temperature events (above/below, window_stat max or min) answer at model-covered stations

  • edge_detail

    Deep model-vs-market breakdown for one weather market. Full divergence picture for a single weather market: model probability with the discretized model distribution, divergence history from stored signals, a half-Kelly sizing hint, and explicit risk notes (including model labeli

  • edge_weather-markets

    Model-vs-market divergence across every parseable weather prediction market. Compares our weather model's event probability with the market-implied probability for every weather-linked prediction market we can parse, ranked by divergence with direction, model confidence (from ens

  • edge_weather-markets-delayed

    Model-vs-market divergence across every parseable weather p… (15m delayed, free). Compares our weather model's event probability with the market-implied probability for every weather-linked prediction market we can parse, ranked by divergence with direction, model confidence (fro

  • gov_contracts-awards

    Federal contract awards from USAspending, normalized and filterable. Recent US federal contract awards (USAspending.gov) as clean records: vendor, awarding agency/sub-agency, value, NAICS, start date, and place of performance. Sorted by value. Filter by vendor, agency, NAICS, min

  • gov_contracts-awards_changes

    Free: count of federal contract awards changed since your cursor. Free polling probe for /v1/contracts/awards/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/contracts/awar

  • gov_contracts-awards_delta

    Only the federal contract awards changed since your cursor (delta of /v1/contrac. Keyset delta of /v1/contracts/awards: pass since= and get only the federal contract awards added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors

  • gov_edgar-13f-diff

    Quarter-over-quarter 13F position changes for an institutional manager. Parses a fund's 13F-HR information tables and diffs the latest quarter against the prior one: new positions, exits, increases, decreases (with share deltas), and the change in top-10 concentration. CIKs may b

  • gov_edgar-events

    8-K corporate events classified by item number with extractive summaries. Material corporate events from SEC 8-K filings, deterministically classified by Item number (5.02 → leadership_change, 2.02 → results, 1.01 → material_agreement, …) with a two-sentence extractive summary an

  • gov_edgar-events_acquisitions

    Latest acquisition and disposition 8-K events as structured JSON. Latest 8-K filings classified as acquisition and disposition (Item 2.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtere

  • gov_edgar-events_bankruptcy

    Latest bankruptcy and receivership 8-K events as structured JSON. Latest 8-K filings classified as bankruptcy and receivership (Item 1.03) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtere

  • gov_edgar-events_changes

    Free: count of 8-K filings changed since your cursor. Free polling probe for /v1/edgar/events/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/edgar/events/changes · price f

  • gov_edgar-events_delta

    Only the 8-K filings changed since your cursor (delta of /v1/edgar/events). Keyset delta of /v1/edgar/events: pass since= and get only the 8-K filings added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across rest

  • gov_edgar-events_leadership-change

    Latest executive and board leadership change 8-K events as structured JSON. Latest 8-K filings classified as executive and board leadership change (Item 5.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar

  • gov_edgar-events_material-agreement

    Latest material definitive agreement 8-K events as structured JSON. Latest 8-K filings classified as material definitive agreement (Item 1.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-fil

  • gov_edgar-events_other-events

    Latest other material event 8-K events as structured JSON. Latest 8-K filings classified as other material event (Item 8.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 8.01

  • gov_edgar-events_reg-fd

    Latest Regulation FD disclosure 8-K events as structured JSON. Latest 8-K filings classified as Regulation FD disclosure (Item 7.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to I

  • gov_edgar-events_restatement

    Latest restatement and non-reliance 8-K events as structured JSON. Latest 8-K filings classified as restatement and non-reliance (Item 4.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filte

  • gov_edgar-events_results

    Latest results of operations 8-K events as structured JSON. Latest 8-K filings classified as results of operations (Item 2.02) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 2.

  • gov_edgar-filings-search

    Full-text search over SEC filings (EDGAR FTS), normalized results. Proxies SEC EDGAR full-text search (efts.sec.gov) with fair-access rate limiting and returns normalized hits: company, form, filing date, matched document, and archive URL. Upstream provides no text excerpt, so sn

  • gov_edgar-insider

    Normalized insider transactions (Form 4) with flow aggregates for a ticker. SEC Form 4 filings parsed into clean insider transactions: buy/sell/award classification, 10b5-1 plan flags, per-filer roles, and aggregate net flow with notable-pattern flags. Use it to gauge insider con

  • gov_edgar-watch_changes

    Free: count of filings of the watched form changed since your cursor. Free polling probe for /v1/edgar/watch/:form/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/edgar/wat

  • gov_edgar-watch_delta

    Only the filings of the watched form changed since your cursor (delta of /v1/edg. Keyset delta of /v1/edgar/watch/:form: pass since= and get only the filings of the watched form added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cur

  • gov_recalls

    Product recalls across FDA, USDA, and CPSC in one normalized schema. openFDA enforcement reports (food/drug/device), USDA FSIS recalls, and CPSC consumer-product recalls normalized to one shape with a unified severity class (I highest — FDA/USDA classes verbatim; CPSC derived fro

  • gov_recalls_changes

    Free: count of product recalls changed since your cursor. Free polling probe for /v1/recalls/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1/recalls/changes · price free vi

  • gov_recalls_consumer

    Latest consumer product recalls (FDA/USDA/CPSC normalized). Latest consumer product recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the consumer category. [HTTP: GET /v1/recal

  • gov_recalls_delta

    Only the product recalls changed since your cursor (delta of /v1/recalls). Keyset delta of /v1/recalls: pass since= and get only the product recalls added or changed after it, plus changed_count and a new next_cursor. Omit since once to bootstrap. Cursors are stable across restar

  • gov_recalls_device

    Latest medical device recalls (FDA/USDA/CPSC normalized). Latest medical device recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the device category. [HTTP: GET /v1/recalls/dev

  • gov_recalls_drug

    Latest drug and pharmaceutical recalls (FDA/USDA/CPSC normalized). Latest drug and pharmaceutical recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the drug category. [HTTP: GET

  • gov_recalls_food

    Latest food safety recalls (FDA/USDA/CPSC normalized). Latest food safety recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the food category. [HTTP: GET /v1/recalls/food · pric

  • gov_recalls_vehicle

    Latest vehicle recalls (FDA/USDA/CPSC normalized). Latest vehicle recalls across FDA, USDA FSIS, and CPSC in one normalized schema, with severity classing and product details. Same shape as /v1/recalls, pre-filtered to the vehicle category. [HTTP: GET /v1/recalls/vehicle · price

  • probability_board_changes

    Free: count of materially-moved markets in the segment changed since your cursor. Free polling probe for /v1/board/:category/delta: returns changed_count, next_cursor, and as_of only — no rows. Poll hourly for $0 and call the paid delta only when changed_count > 0. [HTTP: GET /v1

  • probability_board_climate

    All active climate and weather markets with live probabilities in one call. One-call board of the most active climate and weather prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for ag

  • probability_board_crypto

    All active crypto markets with live probabilities in one call. One-call board of the most active crypto prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the state of

  • probability_board_delta

    Only the materially-moved markets in the segment changed since your cursor (delt. Keyset delta of /v1/board/:category: pass since= and get only the materially-moved markets in the segment added or changed after it, plus changed_count and a new next_cursor. Omit since once to boot

  • probability_board_economics

    All active economics markets with live probabilities in one call. One-call board of the most active economics prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tracking the st

  • probability_board_entertainment

    All active entertainment markets with live probabilities in one call. One-call board of the most active entertainment prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents trackin

  • probability_board_fed

    All active Federal Reserve markets with live probabilities in one call. One-call board of the most active Federal Reserve prediction markets: top markets by volume with blended live probabilities, resolution dates, and per-market slugs for drill-down. The bulk read for agents tra

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account praneeth12098, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 737 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 60 tool descriptions and found no hidden instructions to the AI

Compared with others in Accounting, finance & taxi

  • More stars than 0% of the other 2919 servers in this category
  • Published to the registry more recently than 60% of the other 2919 servers in this category
  • Basic checks equal to or better than 100% of the other 2919 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is X402 Factory safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 22 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

x402-factory clients

Typed clients, worked examples, and an agent skill for x402-factory.com — 200+ paid data APIs for AI agents (prediction-market probabilities, weather intelligence, US economic prints, SEC/EDGAR and recall feeds), sold per-call via the x402 protocol (HTTP 402 + USDC on Base). No API keys, no accounts: cents per call from any wallet.

Judge it before you pay — the free proof surfaces

The platform publishes its own scorecards, free forever:

  • Forecast verification — every forecast scored against real NWS station observations, segmented by lead/region/method/model-version: /v1/verification/scores. Under the current model the station blend beats raw NWS at short leads (as of 2026-10-15, 90-day rolling window, on the nws-blend segment — the same-sample paired comparison against the NWS baseline: temperature MAE 0.84 vs 1.14 °C at 1-hour lead, n=3,506; 0.89 vs 1.16 at 3h; converging to NWS parity by 24h — the decay the method predicts. Recompute it yourself: filter the live table to segment nws-blend).
  • Model-vs-market calibration gate — market classes are sold only when their own resolved history proves calibrated; the full reliability table (and what is currently *withheld*, with reasons) is public: /v1/edge/calibration.
  • Free delayed feeds and change-probes on the probability catalog.

Quickstart (TypeScript)

import { X402FactoryClient } from "./ts/client.js";

// Free routes need nothing: const free = new X402FactoryClient(); console.log(await free.verificationScores()); // Paid routes need any funded wallet via @x402/fetch: import { wrapFetchWithPayment } from "@x402/fetch"; import { privateKeyToAccount } from "viem/accounts"; const paid = new X402FactoryClient({ fetch: wrapFetchWithPayment(fetch, privateKeyToAccount(process.env.PK as 0x${string})), }); console.log(await paid.get("/v1/econ/dashboard")); // $0.03, settles automatically

Python: see py/client.py. Worked examples (free routes only, run as-is): examples/.

MCP

Remote MCP endpoint: POST https://x402-factory.com/mcp (streamable HTTP, stateless JSON). Free and delayed tools return data; paid tools return a structured payment_required pointer with the HTTP route and price — the mirror is a free funnel, not a paywall bypass. Rate limit: 30 req/min.

Agent skill

skill/ packages the catalog as a task-oriented skill: discovery mode with no wallet (free routes only) and paid mode through your existing x402 wallet tooling with a per-call cap. MIT-0.

Honesty contract

Every response carries meta.sources and meta.data_mode; method labels are end-to-end truthful (NWS passthrough is labeled as such); skill claims appear only where measured, with n, on the free proof surfaces. License: MIT.

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