186 production post-mortems from an 8-month multi-session AI agent system, sold per call over x402
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !No standard license detected
claude mcp add agent-failure-archive -- python -m -r{
"mcpServers": {
"agent-failure-archive": {
"command": "python",
"args": ["-m", "-r"]
}
}
}MCP Servers overview
# Agent Failure Archive
**186 post-mortems from running a multi-session AI agent system in production for 8 months.**
Pay per call with [x402](https://x402.org). No signup, no API key, no subscription.
Live: **https://desktop-ai2ata5-1.tailfeb765.ts.net**
Try it free, right now: [`/sample`](https://desktop-ai2ata5-1.tailfeb765.ts.net/sample)
Public repositories show you code that worked. This is the other half: the wiring that
looked correct, passed review, ran for weeks, and was dead the whole time.
---
## Why this exists
The expensive failures in agent systems are not the loud ones. A crash gets fixed in an hour.
The costly ones are silent: a repair routine wired to a signal nobody consumes, a watcher that
exits 0 after its session expired, a detector whose output is identical whether the system is
healthy or broken.
Those failures are almost never written down, because writing them down requires having run the
thing long enough to be bitten and having kept records. This archive is that record.
**A real entry** (case `adr-136`):
> A broadcast call failed with an internal error. The caller saw the error. The five receiving
> sessions only ever checked for an acknowledgement, so they saw nothing and retried forever.
> Seven sessions writing heartbeats plus the retry storm collapsed the database into lock
> contention.
>
> Root cause: the failure was visible to the sender and invisible to the receiver. Asymmetric
> error visibility, not the broadcast bug itself.
Of the 186 cases, **174 carry measured evidence** (durations, counts, rates) and **155 name a
root cause** rather than just a symptom.
---
## The measurement half
For eight months this system was pointed at one question: can you measure how a single person's
language departs from the general language, without collapsing that person into a score?
It mostly failed, and the failures were more interesting than the goal. **107 of the 186 cases
are measurement failures**: detectors that returned the same output whether the signal was
present or absent, dose-response arms where the same parameter turned out to be two different
treatments, positive controls that were never run, a corpus that was 2.3x smaller than the file
count claimed, an instrument that kept measuring itself and reporting the reading as a finding.
Those are the cases behind `/research`. If you are building anything that claims to measure a
person -- style, personality, authorship, fit to a profile -- this is the catalogue of ways that
claim breaks before you notice it has broken.
---
## Endpoints
| Route | Price | What you get |
|---|---|---|
| `GET /` | free | service metadata |
| `GET /sample` | free | two full cases, no payment |
| `GET /contents` | free | every case title, tagged by the trap it illustrates. Filter with `?theme=` |
| `GET /audit?claim=<conclusion>&evidence=<what you measured>` | $0.02 | nine checks against fooling yourself, applied to your own claim |
| `GET /search?q=<symptom>` | $0.01 | 3 cases: symptom, root cause, fix, prevention, evidence |
| `GET /brief?action=<what you are about to do>` | $0.05 | pre-flight risk brief + checklist across 5 cases |
| `GET /research?q=<topic>` | $0.25 | the 107 measurement failures above |
| `GET /archive` | $1.00 | every case, one response, one payment, yours |
Payment: USDC on Base (`eip155:8453`), settled through a keyless facilitator. Any x402 client
works, and a browser gets a wallet-connect paywall instead of raw JSON.
```bash
# free, no wallet needed
curl https://desktop-ai2ata5-1.tailfeb765.ts.net/sample
# paid, via any x402-capable client
curl https://desktop-ai2ata5-1.tailfeb765.ts.net/search?q=silent+failure+cron
```
`/audit` is the one to reach for before you write *"we found that"*. Hand it your conclusion
and what you actually measured, and it returns the checks your claim trips: a null result with
no positive control, treatment arms that got the same parameter but not the same treatment, a
denominator counting the same unit repeatedly, an exit-0 process that did nothing, a cached view
read as if it were state. Nine checks, every one of them a failure that really shipped here,
with the numbers measured at the time.
It is deterministic. No model is consulted, so the same input always returns the same audit, it
answers in milliseconds, and when it is wrong you can see exactly why. A clean pass is not proof
your claim is true; it means these nine known ways of fooling yourself were considered.
**Paste a paragraph, not a tidy claim.** Both `/precheck` and `/audit` accept `text=` instead of
`claim=`. Give them a chunk of your findings and they pick out the sentences that assert something,
then check each one separately:
```bash
curl -sG https://desktop-ai2ata5-1.tailfeb765.ts.net/precheck \
--data-urlencode "text=We ran the new ranker on 40 sampled queries and found no significant
difference. The watcher is healthy: it exits 0 every run. Our corpus contains 4279 documents,
2x the previous release."
```
returns three claims, each held for a different reason: the null result has no positive control,
the healthy watcher would look identical having done nothing, and the corpus count may be
counting re-dumped snapshots. Sentence selection is deterministic too, driven by the same check
table rather than by a model, so prose with no claims in it comes back empty instead of
inventing findings.
`/brief` is the one to reach for before doing something irreversible: describe the action in
plain words and it returns the ways that class of action has actually gone wrong, plus the
prevention line each incident produced.
`/contents` is the shelf. Two sample cases cannot tell you whether the whole corpus is worth a
dollar, so this returns all 186 titles, each tagged with which of the nine traps it illustrates,
and nothing else. The distribution as of today: 108 cases involve reading a cached view as state,
83 involve a denominator counting the same unit twice, 71 involve something built with no caller,
36 involve a process that exited 0 having done nothing. Titles only, no bodies, no payment.
`/archive` exists because a corpus is worth more whole than sliced. One payment ends the
transaction; there is nothing to cancel afterwards.
---
## Use it as an MCP server
`mcp_server.py` exposes the whole archive as tools for Claude Desktop, Cursor, or any
MCP-compatible agent. **The free tools need no wallet and no configuration.**
```bash
pip install "mcp[cli]" requests # free tools only
pip install "x402[mcp]" eth-account # add this for the paid tools
```
```json
{
"mcpServers": {
"agent-failure-archive": {
"command": "python3",
"args": ["/absolute/path/to/mcp_server.py"],
"env": { "X402_PRIVATE_KEY": "0x..." }
}
}
}
```
| Tool | Wallet needed | What it does |
|---|---|---|
| `precheck` | no | which of the nine checks your conclusion trips |
| `sample` | no | two complete post-mortems |
| `service_info` | no | contents and prices |
| `audit` | yes | the full audit, $0.02 |
| `search` | yes | three matching incidents, $0.01 |
| `brief` | yes | pre-flight risk brief, $0.05 |
| `research` | yes | the 107 measurement failures, $0.25 |
| `archive` | yes | everything, $1.00 |
`X402_PRIVATE_KEY` is **your** wallet. It stays on your machine and is used locally to sign
payment authorizations. It is never transmitted anywhere, and this server never logs it. Drop
the `env` block entirely if you only want the free tools.
Without a key the paid tools do not fail silently: they return the reason, the payment
challenge, and a pointer to the free equivalent.
Tested against `mcp` 2.1.0 and the 1.x `FastMCP` layout: eight tools listed, `precheck`
answered with no wallet, `audit` degraded with a stated reason.
---
## What is not in here
- No personal data. Any source document mentioning a person, a business relationship, or a
monetary amount is excluded whole, not redacted line by line.
- No operator utterances. The corpus keeps the structure of each incident, never the voice.
- Wallet addresses, home paths, IP addresses, emails, API keys and session identifiers are
masked before a document is ever considered for inclusion.
The filter is tested against a deliberately planted probe string on every build; if the detector
fails to catch it, the build aborts. Current state: **0 leaks across 186 cases, positive control
passing.**
---
## Measured notes on the market
While trying to sell a dollar of this, we measured how x402 discovery and revenue actually
behave, and several widely held assumptions turned out to be wrong. Written up with the exact
unauthenticated calls so you can check rather than trust: [MARKET.md](MARKET.md).
Short version: the modal price is a tenth of a cent to three cents but a seller doing $0.85 per
call at 125,000 calls a month exists; eight of the top ten buyers pay exactly one seller, so the
headline volume is vertical integration rather than a marketplace; the directory chat everyone
assumes will find your service has not been used since May; and getting into the facilitator
directory needs one observed payment attempt, not a completed sale.
---
## Honest limits
- This is **one operator's system**. It is prior art, not a guarantee, and not a statistical
sample of agent systems in general.
- Coverage is skewed toward what that system does a lot of: multi-session coordination, hook and
cron wiring, retrieval pipelines, inter-process messaging, scheduled repair, and the
measurement work described above.
- Some entries record a failure whose fix was later found to be wrong. Those are kept, with the
correction, because the correction is usually the more useful half.
- **Nothing here has sold yet.** At the time of writing the receiving address has taken in
exactly $0.00. That number is checked on-chain rather than from server logs, and this line
gets updated when it changes.
---
## Running it yourself
```bash
pip install -r requirements.tWhat people ask about agent-failure-archive
What is HanbeenMoon/agent-failure-archive?
+
HanbeenMoon/agent-failure-archive is mcp servers for the Claude AI ecosystem. 186 production post-mortems from an 8-month multi-session AI agent system, sold per call over x402 It has 0 GitHub stars and its last recorded update is dated 2026-08-25.
How do I install agent-failure-archive?
+
You can install agent-failure-archive by cloning the repository (https://github.com/HanbeenMoon/agent-failure-archive) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is HanbeenMoon/agent-failure-archive safe to use?
+
Our security agent has analyzed HanbeenMoon/agent-failure-archive and assigned a Trust Score of 70/100 (tier: OK). See the full breakdown of passed checks and flags on this page.
Who maintains HanbeenMoon/agent-failure-archive?
+
HanbeenMoon/agent-failure-archive is maintained by HanbeenMoon. The last recorded GitHub activity is dated 2026-08-25, with 1 open issues.
Are there alternatives to agent-failure-archive?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy agent-failure-archive to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/hanbeenmoon-agent-failure-archive)<a href="https://claudewave.com/repo/hanbeenmoon-agent-failure-archive"><img src="https://claudewave.com/api/badge/hanbeenmoon-agent-failure-archive" alt="Featured on ClaudeWave: HanbeenMoon/agent-failure-archive" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!