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AgentFeed on Algorand

by seekdaseekversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.seekdaseek/agentfeed-algo

Install

Overview

Description from the maker (original English)

Cross-exchange liquidation tape, paid per call in USDC on Algorand. Free catalog, no key needed.

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 on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: ALGO_PAYER_MNEMONIC

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: ALGO_PAYER_MNEMONIC, AGENTFEED_ALGO_URL, ALGO_NETWORK

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agentfeed-algo": {
      "command": "npx",
      "args": [
        "-y",
        "@seekdaseek/agentfeed-algo"
      ],
      "env": {
        "ALGO_PAYER_MNEMONIC": "your-value",
        "AGENTFEED_ALGO_URL": "your-value",
        "ALGO_NETWORK": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add agentfeed-algo --env ALGO_PAYER_MNEMONIC=your-value --env AGENTFEED_ALGO_URL=your-value --env ALGO_NETWORK=your-value -- npx -y @seekdaseek/agentfeed-algo

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "agentfeed-algo": {
      "command": "npx",
      "args": [
        "-y",
        "@seekdaseek/agentfeed-algo"
      ],
      "env": {
        "ALGO_PAYER_MNEMONIC": "your-value",
        "AGENTFEED_ALGO_URL": "your-value",
        "ALGO_NETWORK": "your-value"
      }
    }
  }
}

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": {
    "agentfeed-algo": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@seekdaseek/agentfeed-algo"
      ],
      "env": {
        "ALGO_PAYER_MNEMONIC": "your-value",
        "AGENTFEED_ALGO_URL": "your-value",
        "ALGO_NETWORK": "your-value"
      }
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Values you fill in

  • ALGO_PAYER_MNEMONIC secret env
    25 word mnemonic for the Algorand account that pays. Optional: the catalog tool needs no key.
  • AGENTFEED_ALGO_URL env
    Override the endpoint. Defaults to https://algo.ochinimus.app
  • ALGO_NETWORK env
    mainnet or testnet. Defaults to mainnet.

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 seekdaseek, 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

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18374 servers in this category
  • Published to the registry more recently than 46% of the other 18374 servers in this category
  • Basic checks equal to or better than 100% of the other 18374 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 AgentFeed on Algorand safe?

It passed 1 of 1 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?

You need to fill in: ALGO_PAYER_MNEMONIC

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Happo

Alternatives

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Happo

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Review Happo's visual and accessibility diffs: inspect comparisons, accept or reject, report flakes.

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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.

agentfeed-algo

A paid x402 data API on Algorand. It sells a cross venue liquidation tape per call in USDC, and it tells you when it does not know.

Built for the Algorand Foundation Global x402 Challenge.

Live on Algorand mainnet

https://algo.ochinimus.app

network algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8= asset USDC, ASA 31566704 facilitator https://facilitator.goplausible.xyz catalog https://algo.ochinimus.app/catalog manifest https://algo.ochinimus.app/.well-known/x402

Free to inspect, paid to read. Call any route without payment and you get a 402 whose body carries the route, the price, the asset and what the payment unlocks, with the payment challenge itself base64 in the PAYMENT-REQUIRED header. The tape behind it has recorded over 900 symbols on Binance, Bybit and OKX since July 8 2026, and over the seven full days before September 16 2026 it averaged about 73,000 liquidation rows a day.

What it sells

Five endpoints, priced in USDC, paid per request over x402 with no account, no API key and no signup. They are published under /v2.

The five paths these routes were first published under, the /v1 ones, still answer. Same handlers, same paywall, same prices, each with its own resource URL. An agent holding an old URL is not broken by the move. Nothing advertises /v1 any more, though: the catalog, the manifest, the landing page and the MCP server list only /v2, and nothing new should be built against the old paths.

Liquidation volume for one symbol over a window, split by exchange and by whether longs or shorts were liquidated, at 0.02 USDC. A cascade score, which measures whether that volume arrived as a single burst or spread evenly, at 0.05. The full symbol universe the tape saw in a window, so a caller can tell coverage from silence, at 0.10. Per exchange reporting integrity, at 0.03.

The fifth route sells history. It returns the complete recorded liquidation history for one symbol across all three exchanges, from that symbol's first observation on this tape through to now, bucketed hourly or daily, at 5.00. No other route here looks back further than seven days, and that is the whole difference: a liquidation record cannot be backfilled after the fact, so depth is the part that is genuinely scarce. Coverage is stated per symbol rather than per tape, because a symbol first appears whenever it first liquidated, which can be weeks after the tape itself began, and the payload carries that symbol's own coverage start so our start date is never mistaken for the market's.

Calling every route once costs 5.2 USDC. The live figure is published at /catalog as sweep_price_usdc and is computed from the catalog rather than typed, so if this line ever disagrees with it, the endpoint is right and this file is stale.

Global x402 Challenge qualification

Entered as a Composite project: five endpoints under one payTo address.

Every route carries the required x402-global-challenge tag and declares a Bazaar discovery extension, so an agent that has never heard of this service can find it, read what each route costs, and construct a valid request from the listing alone. Both are applied in compileCatalog and buildRoutes rather than written per route, so neither can be forgotten on one endpoint, and the tests that check them iterate over every route the service answers on rather than sampling one, so a route that lost either would fail the suite.

The tag rides in accepts[].extra, which is where the leaderboard reads it, not in resource.tags. It travels there alongside the asset decimals and the feePayer the facilitator advertises, because ExactAvmScheme merges that extra rather than replacing it.

Settlement runs through the GoPlausible facilitator on Algorand mainnet, and payments have completed end to end. The current count, the distinct payers behind it and the settled total are whatever the ledger says rather than whatever this file says, so read them with agentfeed-algo ledger instead of trusting a number typed here.

Use it from an agent

The endpoint is a URL, which is invisible to the thing meant to pay for it. So this ships an MCP server too.

npx -y -p @seekdaseek/agentfeed-algo agentfeed-algo-mcp

Or in an MCP client config, as a server named agentfeed-algo running npx -y @seekdaseek/agentfeed-algo with the binary agentfeed-algo-mcp, and one environment variable, ALGO_PAYER_MNEMONIC, holding the mnemonic for an Algorand account that has USDC and is opted in to asset 31566704.

Six tools. Four are paid, one for each of the short window routes. Two are free: catalog lists everything sold and what it costs, and payer_status reports your balances and anything blocking payment. Both work with no key at all, so you can install this, look at what exists, and decide afterwards whether to fund anything. The history route is listed by the catalog tool, with its price and its path, but it has no tool of its own.

Payment comes from your own account. There is no key of ours in the loop and no account to create.

An unmeasured response comes back as a tool error rather than as data. The HTTP layer already refuses to bill it, but an agent reading a tool result needs the same signal, and a hole that looks like an answer is worse than no answer.

The thing that makes it worth paying for

Every response carries its own status, and there are three of them.

Measured means we asked and got an answer.

Absent means we asked and the market had none. No liquidations in the window is a real finding about a quiet market, and a buyer can act on it.

Unmeasured means our own lookup failed. A rate limit, a locked database, a query that threw. This is not a finding, it is the absence of one.

An unmeasured response returns 503 and is never billed, even though payment was already verified by the time we find out. That costs us the sale on purpose. Once an agent is paying per call, the worst product you can sell is a zero you invented, because the caller has no way to tell it from a real one. A feed that says when it does not know is worth more per call than one that always answers.

Running it

npm install

npm test node bin/agentfeed-algo.mjs catalog

Configuration is environment driven. Copy the example and fill it in.

cp .env.example .env

node bin/agentfeed-algo.mjs doctor node bin/agentfeed-algo.mjs serve

Doctor checks the config, the catalog and the facilitator, and prints a line per check. Serve refuses to start if any of them failed.

Mainnet is never an accident

The deployment above runs on mainnet. Getting there takes two deliberate variables, ALGO_NETWORK set to mainnet and ALGO_ALLOW_MAINNET set to yes, and an unset config falls back to testnet rather than forward to mainnet.

That is on purpose. One mistyped variable should not be enough to start taking real money, and a service that quietly defaults into handling funds will eventually take payments to an address nobody checked.

On mainnet the preflight also refuses a localhost resource URL, a plaintext facilitator, a testnet asset id, and any warning at all. On testnet warnings are allowed through. The asymmetry is the point: on mainnet a misconfiguration sends money somewhere with no undo.

The payTo address is checksummed, not pattern matched

An Algorand address is base32 over a 32 byte public key plus a 4 byte SHA-512/256 checksum. A regular expression that checks length and alphabet will happily accept two transposed characters. The checksum will not, and there is a test that transposes a pair to prove it.

This is the one field where a typo costs real money silently, so it gets a real decoder rather than a pattern.

Prices are BigInt, always

USDC has six decimals. Every price in this service is a BigInt count of microUSDC and never a float. A price with more precision than the asset can express is an error rather than something to quietly shorten, so toMicroUsdc("0.0000001") throws instead of becoming zero.

The x402 price field is passed as an asset amount, carrying the asset id explicitly, so a decimal can never be interpreted against the wrong token.

Who is paying

The challenge asks entrants for proof of who is paying, and a leaderboard total cannot answer that. Ten agents paying twenty times each and one agent paying two hundred times produce the same total and are completely different businesses.

So every verify and every settle, successful or not, is appended to a local ledger, and the summary leads with concentration rather than with the total.

node bin/agentfeed-algo.mjs ledger

One note about the hooks that feed it. The shape of the context object x402 hands to onAfterSettle was not something I had observed when this was written, so rather than assert a shape I had not seen, the extractor tries the plausible field paths, and when it cannot find a payer it records the context's top level keys instead of writing a null. The first real settlement, on 2026-08-05, taught us the shape in the ledger where somebody would read it: the context carries paymentPayload, requirements, declaredExtensions, transportContext and result, with the payer and the transaction id under result. The extractor still tries the other paths, because that costs nothing and the shape is upstream's to change.

Architecture

The catalog is one array and everything derives from it. The x402 routes config, the public manifest at /.well-known/x402, the free /catalog listing, the CLI output and the tests all read the same source, so a price cannot be changed in one place and stale in another.

The tape store is injected. Tests run against an array in memory and never open a file, which is also why a missing tape degrades to unmeasured rather than to a crash.

The facilitator client is injected. Tests never touch the network.

Tests

npm test

No network, no wall clock, no sleeps. The end to end suites start the real Express app on an ephemeral port and drive it over real HTTP, including with the paywall engaged, so the 402 path is proven rather than assumed.

The route tests go through HTTP as well, and that is not decoration. A handler level test cannot see a query parameter the server never passes, and one that was never passed is exactly how the history route came to ignore its bucket parameter: the handler validated bucket and defaulted it to hourly, its own tests passed, and the server was calling it without the parameter at all. So bucket=day was quietly answered hourly, and an invalid bucket was answered hourly and billed, when the handler would have refused it as unmeasured and charged nothing. The seam between the router and the handler is where that lived, so that is where the tests for it sit now.

Symbols are exchange pairs, and a coverage gap is not a quiet market

The tape stores SOLUSDT, not SOL. A caller who asks for SOL and gets zero rows must not be told "no liquidations for SOL", because that is a finding and it is false; the truth is that we never carried a symbol by that name.

So resolution happens first. A bare symbol is tried against USDT, USD and USDC suffixes, the resolved pair and the resolution method are both returned, and a symbol this tape does not carry comes back unmeasured with the reason symbol_not_covered. Unmeasured is not billed, so a coverage gap costs the caller nothing and never enters their reasoning as a market fact.

A symbol the tape does carry, with an empty window, is absent. That one is a real finding about a quiet market and is billed normally.

The facilitator advertises a different network identifier than the client library

Worth knowing before you debug this yourself. CAIP-2 caps the chain reference at 32 characters, and the @x402/avm package constants follow that. The GoPlausible facilitator advertises Algorand with the full 44 character base64 genesis hash instead, padding included, while advertising Solana correctly truncated in the same

Only the beginning is shown; read the rest in the repo

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