Money Mind — the judge
REMOTE · MONEY-MIND-EXTRACT.ONRENDER.COM · SCANNED OCT 12
Statistical adjudication for agents: backtest judges, fact-checks. Pay per call in USDC via x402.
Available components
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 Security74
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability65
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 5135 tokens (~302/item across 17 items; 17 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Tools include usage examples.Pass
Stability & Change Management33
- Stability observed for 10 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "check_eval_selection" implies "eval" and declares readOnlyHint instead, contradicting what its own name says it does. See how to fix → Fail
- An AI judge read all 18 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
How do I install the Money Mind — the judge MCP server?
Money Mind — the judge is a hosted endpoint at https://money-mind-extract.onrender.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 · money-mind-extract.onrender.com
claude mcp add --transport http elimuaa-money-mind 'https://money-mind-extract.onrender.com/mcp'
{
"mcpServers": {
"elimuaa-money-mind": {
"url": "https://money-mind-extract.onrender.com/mcp"
}
}
} {
"servers": {
"elimuaa-money-mind": {
"type": "http",
"url": "https://money-mind-extract.onrender.com/mcp"
}
}
} [mcp_servers.elimuaa-money-mind] url = "https://money-mind-extract.onrender.com/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"elimuaa-money-mind": {
"type": "remote",
"url": "https://money-mind-extract.onrender.com/mcp",
"enabled": true
}
}
} openclaw mcp add elimuaa-money-mind --url 'https://money-mind-extract.onrender.com/mcp' --transport streamable-http
mcp_servers:
elimuaa-money-mind:
url: "https://money-mind-extract.onrender.com/mcp" {
"McpServers": {
"elimuaa-money-mind": {
"Transport": "http",
"Url": "https://money-mind-extract.onrender.com/mcp"
}
}
} assistant mcp add elimuaa-money-mind -t streamable-http -u 'https://money-mind-extract.onrender.com/mcp'
{
"mcpServers": {
"elimuaa-money-mind": {
"type": "http",
"url": "https://money-mind-extract.onrender.com/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
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.
- 12 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 27 to 33. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 17 to 27. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 7 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 5 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 3 Oct 26 +1
- Stability: unverified → 0.03 ▲ functional
- 2 Oct 26 66
First indexed and scored.
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 12 Oct 2026 · Probed https://money-mind-extract.onrender.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=onrender.com | CN=WE1,O=Google Trust Services,C=US | 21 Sept 2026 | 20 Dec 2026 | ECDSA 256 | ECDSA-SHA256 | 6eb1e3fe7d0631ea1337bfa4a321c137 |
| SANs: onrender.com, *.onrender.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 money-mind-extract.onrender.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| onrender.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://money-mind-extract.onrender.com/mcp | Verified | 200 | |
| http (plaintext) | http://money-mind-extract.onrender.com/mcp | HTTPS enforced | 301 | https://money-mind-extract.onrender.com/mcp |
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 →
abtest Money Mind — A/B Significance — free allowance, then $0.31 ~145
Did B really beat A, corrected for how many variants you compared. Did B really beat A, corrected for how many variants you compared RUNS NOW: served from a daily free allowance (250 left today), then $0.31 USDC on Base via x402. No account, no API key. Example request: {"n_a": 1200, "conv_a": 96, "n_b": 1180, "conv_b": 130}
| Name | Type | Req | Description |
|---|---|---|---|
| conv_a | – | yes | example: 96 |
| conv_b | – | yes | example: 130 |
| n_a | – | yes | example: 1200 |
| n_b | – | yes | example: 1180 |
No output schema declared.
{"conv_a":96,"conv_b":130,"n_a":1200,"n_b":1180}audit Money Mind — Full Book Audit — $300.00 per call ~394
Every gate we have, composed in the right order, over your whole book — including the cross-instrument check that catches one edge wearing many names. Every gate we have, composed in the right order, over your whole book — including the cross-instrument check that catches one edge wearing many names PAID: $300.00 USDC on Base via x402. Call it to receive the payment challenge. Example request: {"bars": {"EURUSD": [{"time": "2024-01-01T00:00:00Z", "open": 1.0995, "high": 1.1001, "low": 1.0986, "close": 1.0992}, {"time": "2024-01-01T01:00:00Z", "open": 1.1002, "high": 1.1012, "low": 1.0996, "close": 1.1006}, {"t
| Name | Type | Req | Description |
|---|---|---|---|
| bars | – | yes | example: {"EURUSD": [{"time": "2024-01-01T00:00:00Z", "open": 1.0995, "high": 1.1001, "low": 1.0986, "close": 1.0992}, {"time": " |
| signals | – | yes | example: {"EURUSD": [1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, -1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, -1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, -1, 0, |
No output schema declared.
{"bars":{"EURUSD":[{"close":1.0992,"high":1.1001,"low":1.0986,"open":1.0995,"time":"2024-01-01T00:00:00Z"},{"close":1.1006,"high":1.1012,"low":1.0996,"open":1.1002,"time":"2024-01-01T01:00:00Z"},{"close":1.1006,"high":1.1015,"low":1.1,"open":1.1009,"time":"2024-01-01T02:00:00Z"},{"close":1.1008,"high":1.1014,"low":1.0998,"open":1.1004,"time":"2024-01-01T03:00:00Z"},{"close":1.1008,"high":1.1017,"low":1.1002,"open":1.1011,"time":"2024-01-01T04:00:00Z"},{"close":1.1022,"high":1.1028,"low":1.1012,"open":1.1018,"time":"2024-01-01T05:00:00Z"},{"close":1.101,"high":1.1019,"low":1.1004,"open":1.1013,"time":"2024-01-01T06:00:00Z"},{"close":1.1024,"high":1.103,"low":1.1014,"open":1.102,"time":"2024-01-01T07:00:00Z"},{"close":1.1024,"high":1.1033,"low":1.1018,"open":1.1027,"time":"2024-01-01T08:00:00Z"},{"close":1.1026,"high":1.1032,"low":1.1016,"open":1.1022,"time":"2024-01-01T09:00:00Z"},{"close":1.1026,"high":1.1035,"low":1.102,"open":1.1029,"time":"2024-01-01T10:00:00Z"},{"close":1.104,"high":1.1046,"low":1.103,"open":1.1036,"time":"2024-01-01T11:00:00Z"},{"close":1.1028,"high":1.1037,"low":1.1022,"open":1.1031,"time":"2024-01-01T12:00:00Z"},{"close":1.1042,"high":1.1048,"low":1.1032,"open":1.1038,"time":"2024-01-01T13:00:00Z"},{"close":1.1042,"high":1.1051,"low":1.1036,"open":1.1045,"time":"2024-01-01T14:00:00Z"},{"close":1.1044,"high":1.105,"low":1.1034,"open":1.104,"time":"2024-01-01T15:00:00Z"},{"close":1.1044,"high":1.1053,"low":1.1038,"open":1.1047,"time":"2024-01-01T16:00:00Z"},{"close":1.1058,"high":1.1064,"low":1.1048,"open":1.1054,"time":"2024-01-01T17:00:00Z"},{"close":1.1046,"high":1.1055,"low":1.104,"open":1.1049,"time":"2024-01-01T18:00:00Z"},{"close":1.106,"high":1.1066,"low":1.105,"open":1.1056,"time":"2024-01-01T19:00:00Z"},{"close":1.106,"high":1.1069,"low":1.1054,"open":1.1063,"time":"2024-01-01T20:00:00Z"},{"close":1.1062,"high":1.1068,"low":1.1052,"open":1.1058,"time":"2024-01-01T21:00:00Z"},{"close":1.1062,"high":1.1071,"low":1.1056,"open":1.1065,"time":"2024-01-01T22:00:00Z"},{"close":1.1076,"higcheck_eval_selection Did I really find a better prompt? (free) ~157
FREE. Use after picking the best of several prompts, models, configs or hyperparameters. Keeping the top scorer out of N is SELECTION: the winner's score is inflated simply by having looked N times, and every eval harness reports it as though one experiment were run. Give the score each variant achieved and it returns how much of the winner's margin the search itself explains, what pure noise would have handed you, and whether the excess is real. Supply n_per_variant to also learn whether your variants can be told apart at all. Call this before concluding an optimisation found something.
| Name | Type | Req | Description |
|---|---|---|---|
| n_per_variant | integer | – | Trials behind each score (optional). |
| scores | array | yes | Score each variant achieved. 3 or more. |
No output schema declared.
No examples provided.
check_price_data Is this price data real? (free) ~210
FREE, no payment or account. Audits OHLC bars for the defects that silently invalidate a backtest. Free and indicative feeds often SYNTHESISE the bar's open instead of observing it, which pins |open-close|/range near zero — measured on the same FX pairs, a free feed reads 0.020 against a real broker's 0.464. Anything depending on the open (gap trades, overnight holds, next-bar entries) is invalid on such data. Also detects frozen zero-range bars, duplicate and out-of-order timestamps, and bars whose high/low do not bracket open/close. Returns BROKER-GRADE, SUSPECT or INDICATIVE with the numbers behind it. Use this BEFORE trusting any backtest built on the data.
| Name | Type | Req | Description |
|---|---|---|---|
| bars | object | yes | OHLC bars keyed by instrument. Each bar needs time (ISO-8601), open, high, low, close. 50-3000 bars, one instrument, for the free check. |
No output schema declared.
No examples provided.
clusteredt Money Mind — Clustered t — free allowance, then $0.25 ~464
Your t-stat assumes independence; your trades cluster. Use when your trades are not independent — several in the same day, the same regime, or a correlated basket. A t-stat computed as if every trade were an independent draw is inflated; in this repo the factor was about 1.9x. Give per-trade returns and their dates; returns the naive t, the date-cluster RUNS NOW: served from a daily free allowance (250 left today), then $0.25 USDC on Base via x402. No account, no API key. Example request: {"returns": [0.4, -1.1, 0.8, 1.2, -0.6, 0.3, -0.2, 0.9, -1.4, 0.7, 0.5, -0.3, 1.1, -0.8, 0.2, 0.6, -0.5, 0.4, 0.9, -0.7], "dates": ["2024-01-02", "2024-01-02", "2024-01-03", "2024-01-03", "2024-01-04", "2024-01-05", "202
| Name | Type | Req | Description |
|---|---|---|---|
| dates | – | yes | example: ["2024-01-02", "2024-01-02", "2024-01-03", "2024-01-03", "2024-01-04", "2024-01-05", "2024-01-05", "2024-01-08", "2024-0 |
| returns | – | yes | example: [0.4, -1.1, 0.8, 1.2, -0.6, 0.3, -0.2, 0.9, -1.4, 0.7, 0.5, -0.3, 1.1, -0.8, 0.2, 0.6, -0.5, 0.4, 0.9, -0.7] |
No output schema declared.
{"dates":["2024-01-02","2024-01-02","2024-01-03","2024-01-03","2024-01-04","2024-01-05","2024-01-05","2024-01-08","2024-01-09","2024-01-09","2024-01-10","2024-01-11","2024-01-11","2024-01-12","2024-01-15","2024-01-16","2024-01-16","2024-01-17","2024-01-18","2024-01-19"],"returns":[0.4,-1.1,0.8,1.2,-0.6,0.3,-0.2,0.9,-1.4,0.7,0.5,-0.3,1.1,-0.8,0.2,0.6,-0.5,0.4,0.9,-0.7]}correlation Money Mind — Spurious Correlation — free allowance, then $0.31 ~326
Real relationship, or two autocorrelated series drifting together. Real relationship, or two autocorrelated series drifting together RUNS NOW: served from a daily free allowance (250 left today), then $0.31 USDC on Base via x402. No account, no API key. Example request: {"x": [0.4, -1.1, 0.8, 1.2, -0.6, 0.3, -0.2, 0.9, -1.4, 0.7, 0.5, -0.3], "y": [0.3, -0.9, 0.6, 1.0, -0.7, 0.1, -0.4, 0.8, -1.2, 0.5, 0.6, -0.1]}
| Name | Type | Req | Description |
|---|---|---|---|
| x | – | yes | example: [0.4, -1.1, 0.8, 1.2, -0.6, 0.3, -0.2, 0.9, -1.4, 0.7, 0.5, -0.3] |
| y | – | yes | example: [0.3, -0.9, 0.6, 1.0, -0.7, 0.1, -0.4, 0.8, -1.2, 0.5, 0.6, -0.1] |
No output schema declared.
{"x":[0.4,-1.1,0.8,1.2,-0.6,0.3,-0.2,0.9,-1.4,0.7,0.5,-0.3],"y":[0.3,-0.9,0.6,1,-0.7,0.1,-0.4,0.8,-1.2,0.5,0.6,-0.1]}deflatedsharpe Money Mind — Deflated Sharpe — free allowance, then $0.31 ~276
Is this Sharpe real, or the best of N tries? Deflated for the search you ran. Is this Sharpe real, or the best of N tries? Deflated for the search you ran RUNS NOW: served from a daily free allowance (250 left today), then $0.31 USDC on Base via x402. No account, no API key. Example request: {"returns": [0.012, -0.004, 0.021, 0.003, -0.011, 0.017, 0.006, -0.008, 0.014, 0.002, -0.006, 0.019, 0.001, -0.013, 0.009, 0.004], "n_trials": 40}
| Name | Type | Req | Description |
|---|---|---|---|
| n_trials | – | yes | example: 40 |
| returns | – | yes | example: [0.012, -0.004, 0.021, 0.003, -0.011, 0.017, 0.006, -0.008, 0.014, 0.002, -0.006, 0.019, 0.001, -0.013, 0.009, 0.004] |
No output schema declared.
{"n_trials":40,"returns":[0.012,-0.004,0.021,0.003,-0.011,0.017,0.006,-0.008,0.014,0.002,-0.006,0.019,0.001,-0.013,0.009,0.004]}drawdown Money Mind — Drawdown Check — free allowance, then $0.31 ~322
Is this drawdown a broken strategy or a normal bad patch, vs your own shuffled returns. Is this drawdown a broken strategy or a normal bad patch, vs your own shuffled returns RUNS NOW: served from a daily free allowance (250 left today), then $0.31 USDC on Base via x402. No account, no API key. Example request: {"returns": [0.9, -1.0, 0.4, -1.0, 1.6, -1.0, 0.7, 0.3, -1.0, 2.1, -1.0, -1.0, 0.8, 1.4, -1.0, 0.5, -1.0, 1.9, 0.2, -1.0, 1.1, -1.0, 0.6, 1.3]}
| Name | Type | Req | Description |
|---|---|---|---|
| returns | – | yes | example: [0.9, -1.0, 0.4, -1.0, 1.6, -1.0, 0.7, 0.3, -1.0, 2.1, -1.0, -1.0, 0.8, 1.4, -1.0, 0.5, -1.0, 1.9, 0.2, -1.0, 1.1, -1.0, |
No output schema declared.
{"returns":[0.9,-1,0.4,-1,1.6,-1,0.7,0.3,-1,2.1,-1,-1,0.8,1.4,-1,0.5,-1,1.9,0.2,-1,1.1,-1,0.6,1.3]}factcheck Money Mind — Fact Check: verify a claim against sources — $0.03 per call ~203
Verify a claim against 2-4 source URLs: cited passages, cross-source agreement, verdict: consistent | conflicting | insufficient_evidence. Evidence, not truth. Use when your agent needs to verify a claim against independent sources before acting on it. Give a claim plus 2-4 source URLs; each source is extracted (three-fetch cross-check, confidence-scored), the checkable figures are compared across sources, and you get the cited passages plus a verdict: con PAID: $0.03 USDC on Base via x402. Call it to receive the payment challenge. Example request: {"claim": "Acme Corp revenue was $4.2 billion in 2025", "urls": ["https://example.com", "https://example.org"]}
| Name | Type | Req | Description |
|---|---|---|---|
| claim | – | yes | example: "Acme Corp revenue was $4.2 billion in 2025" |
| urls | – | yes | example: ["https://example.com", "https://example.org"] |
No output schema declared.
{"claim":"Acme Corp revenue was $4.2 billion in 2025","urls":["https://example.com","https://example.org"]}judge-batch Money Mind — Judge Batch: backtest triage — $0.01 per call ~417
Triage up to 1,000 backtests in one call: the best-of-N multiple-testing selection correction over every return series — $0.01 per series, survivors ranked best-first. Use when your agent has a FARM of backtests, strategies, or research results — dozens to a thousand — and needs triage, not one-by-one verdicts. One call runs the selection correction over every series: each gets NO (killed), PROVISIONAL (survived this gate), or ERROR (malformed). Results ranked sur PAID: $0.01 USDC on Base via x402. Call it to receive the payment challenge. Example request: {"series": [{"returns": [0.8, -0.3, 1.2, 0.5, -0.6, 0.9, 0.4, -0.2, 1.1, 0.7, -0.4, 0.6, 0.3, -0.5, 1.0, 0.8, -0.1, 0.5, 0.9, -0.3], "n_tested": 20, "label": "weak"}, {"returns": [2.0, 2.1, 1.9, 2.2, 2.0, 2.1, 1.8, 2.0,
| Name | Type | Req | Description |
|---|---|---|---|
| series | – | yes | example: [{"returns": [0.8, -0.3, 1.2, 0.5, -0.6, 0.9, 0.4, -0.2, 1.1, 0.7, -0.4, 0.6, 0.3, -0.5, 1.0, 0.8, -0.1, 0.5, 0.9, -0.3] |
No output schema declared.
{"series":[{"label":"weak","n_tested":20,"returns":[0.8,-0.3,1.2,0.5,-0.6,0.9,0.4,-0.2,1.1,0.7,-0.4,0.6,0.3,-0.5,1,0.8,-0.1,0.5,0.9,-0.3]},{"label":"strong","n_tested":1,"returns":[2,2.1,1.9,2.2,2,2.1,1.8,2,2.1,1.9,2,2.2,1.9,2.1,2,1.8,2.2,2,2.1,1.9]}]}judge-lite Money Mind — Judge Lite: backtest verdict in three gates — $0.05 per call ~494
Is this backtest, strategy or DeFi result real, or the luckiest of N tries? Three gates in one verdict — multiple-testing selection, deflated Sharpe, date-clustered t — built for trading agents. Use when your agent has a backtest, a research result, or any return series that looks good — and needs to know whether it is real or the luckiest of N tries before spending money on it. One call runs the three cheapest high-signal gates: selection correction (family-wise p across your declared n_te PAID: $0.05 USDC on Base via x402. Call it to receive the payment challenge. Example request: {"returns": [0.8, -0.3, 1.2, 0.5, -0.6, 0.9, 0.4, -0.2, 1.1, 0.7, -0.4, 0.6, 0.3, -0.5, 1.0, 0.8, -0.1, 0.5, 0.9, -0.3], "n_tested": 20, "dates": ["2024-06-03", "2024-06-03", "2024-06-04", "2024-06-04", "2024-06-05", "20
| Name | Type | Req | Description |
|---|---|---|---|
| dates | – | yes | example: ["2024-06-03", "2024-06-03", "2024-06-04", "2024-06-04", "2024-06-05", "2024-06-05", "2024-06-06", "2024-06-06", "2024-0 |
| n_tested | – | yes | example: 20 |
| returns | – | yes | example: [0.8, -0.3, 1.2, 0.5, -0.6, 0.9, 0.4, -0.2, 1.1, 0.7, -0.4, 0.6, 0.3, -0.5, 1.0, 0.8, -0.1, 0.5, 0.9, -0.3] |
No output schema declared.
{"dates":["2024-06-03","2024-06-03","2024-06-04","2024-06-04","2024-06-05","2024-06-05","2024-06-06","2024-06-06","2024-06-07","2024-06-10","2024-06-10","2024-06-11","2024-06-11","2024-06-12","2024-06-12","2024-06-13","2024-06-13","2024-06-14","2024-06-14","2024-06-17"],"n_tested":20,"returns":[0.8,-0.3,1.2,0.5,-0.6,0.9,0.4,-0.2,1.1,0.7,-0.4,0.6,0.3,-0.5,1,0.8,-0.1,0.5,0.9,-0.3]}judge-nano Money Mind — Judge Nano: is this backtest winner real? — $0.01 per call ~369
Is this backtest winner real, or just the best of N tries? The multiple-testing selection correction (family-wise p) in one $0.01 call — verdict NO or PROVISIONAL. Use when your agent has a backtest winner, a research result, or any return series that looks good — and needs the cheapest possible check on whether it is real or the luckiest of N tries. One call runs the selection correction: the family-wise p of the series' own t across your declared n_tested. V PAID: $0.01 USDC on Base via x402. Call it to receive the payment challenge. Example request: {"returns": [0.8, -0.3, 1.2, 0.5, -0.6, 0.9, 0.4, -0.2, 1.1, 0.7, -0.4, 0.6, 0.3, -0.5, 1.0, 0.8, -0.1, 0.5, 0.9, -0.3], "n_tested": 20}
| Name | Type | Req | Description |
|---|---|---|---|
| n_tested | – | yes | example: 20 |
| returns | – | yes | example: [0.8, -0.3, 1.2, 0.5, -0.6, 0.9, 0.4, -0.2, 1.1, 0.7, -0.4, 0.6, 0.3, -0.5, 1.0, 0.8, -0.1, 0.5, 0.9, -0.3] |
No output schema declared.
{"n_tested":20,"returns":[0.8,-0.3,1.2,0.5,-0.6,0.9,0.4,-0.2,1.1,0.7,-0.4,0.6,0.3,-0.5,1,0.8,-0.1,0.5,0.9,-0.3]}multipletest Money Mind — Multiple Testing — free allowance, then $0.20 ~168
You tested N strategies and kept the best; is it noise. Use when you searched many strategies or parameter sets and kept the best one. Quoting that winner's solo p-value is the most common way a backtest lies. Give the number of things you tested and the winner's t-statistic; returns the family-wise p-value, the t you actually needed, and the t that pure RUNS NOW: served from a daily free allowance (250 left today), then $0.20 USDC on Base via x402. No account, no API key. Example request: {"n_tested": 1000, "best_t": 3.0}
| Name | Type | Req | Description |
|---|---|---|---|
| best_t | – | yes | example: 3.0 |
| n_tested | – | yes | example: 1000 |
No output schema declared.
{"best_t":3,"n_tested":1000}referee Money Mind — Referee — $5.00 per call ~464
11-gate adjudication of a trading signal series. Use when you have OHLC bars and a -1/0/1 signal series and need to know whether a backtest result is real or an artefact. Applies 11 gates most backtests fail: matched random-entry drift control, date-clustered standard errors, entry at the next bar's open, events-not-fills, absolute (not just exces PAID: $5.00 USDC on Base via x402. Call it to receive the payment challenge. Example request: {"bars": {"EURUSD": [{"time": "2024-01-01T00:00:00Z", "open": 1.0995, "high": 1.1001, "low": 1.0986, "close": 1.0992}, {"time": "2024-01-01T01:00:00Z", "open": 1.1002, "high": 1.1012, "low": 1.0996, "close": 1.1006}, {"t
| Name | Type | Req | Description |
|---|---|---|---|
| bars | – | yes | example: {"EURUSD": [{"time": "2024-01-01T00:00:00Z", "open": 1.0995, "high": 1.1001, "low": 1.0986, "close": 1.0992}, {"time": " |
| cost_bps | – | yes | example: 10 |
| horizon | – | yes | example: 5 |
| rr | – | yes | example: 2.0 |
| signals | – | yes | example: {"EURUSD": [1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, -1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, -1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, -1, 0, |
| stop_atr | – | yes | example: 1.5 |
No output schema declared.
{"bars":{"EURUSD":[{"close":1.0992,"high":1.1001,"low":1.0986,"open":1.0995,"time":"2024-01-01T00:00:00Z"},{"close":1.1006,"high":1.1012,"low":1.0996,"open":1.1002,"time":"2024-01-01T01:00:00Z"},{"close":1.1006,"high":1.1015,"low":1.1,"open":1.1009,"time":"2024-01-01T02:00:00Z"},{"close":1.1008,"high":1.1014,"low":1.0998,"open":1.1004,"time":"2024-01-01T03:00:00Z"},{"close":1.1008,"high":1.1017,"low":1.1002,"open":1.1011,"time":"2024-01-01T04:00:00Z"},{"close":1.1022,"high":1.1028,"low":1.1012,"open":1.1018,"time":"2024-01-01T05:00:00Z"},{"close":1.101,"high":1.1019,"low":1.1004,"open":1.1013,"time":"2024-01-01T06:00:00Z"},{"close":1.1024,"high":1.103,"low":1.1014,"open":1.102,"time":"2024-01-01T07:00:00Z"},{"close":1.1024,"high":1.1033,"low":1.1018,"open":1.1027,"time":"2024-01-01T08:00:00Z"},{"close":1.1026,"high":1.1032,"low":1.1016,"open":1.1022,"time":"2024-01-01T09:00:00Z"},{"close":1.1026,"high":1.1035,"low":1.102,"open":1.1029,"time":"2024-01-01T10:00:00Z"},{"close":1.104,"high":1.1046,"low":1.103,"open":1.1036,"time":"2024-01-01T11:00:00Z"},{"close":1.1028,"high":1.1037,"low":1.1022,"open":1.1031,"time":"2024-01-01T12:00:00Z"},{"close":1.1042,"high":1.1048,"low":1.1032,"open":1.1038,"time":"2024-01-01T13:00:00Z"},{"close":1.1042,"high":1.1051,"low":1.1036,"open":1.1045,"time":"2024-01-01T14:00:00Z"},{"close":1.1044,"high":1.105,"low":1.1034,"open":1.104,"time":"2024-01-01T15:00:00Z"},{"close":1.1044,"high":1.1053,"low":1.1038,"open":1.1047,"time":"2024-01-01T16:00:00Z"},{"close":1.1058,"high":1.1064,"low":1.1048,"open":1.1054,"time":"2024-01-01T17:00:00Z"},{"close":1.1046,"high":1.1055,"low":1.104,"open":1.1049,"time":"2024-01-01T18:00:00Z"},{"close":1.106,"high":1.1066,"low":1.105,"open":1.1056,"time":"2024-01-01T19:00:00Z"},{"close":1.106,"high":1.1069,"low":1.1054,"open":1.1063,"time":"2024-01-01T20:00:00Z"},{"close":1.1062,"high":1.1068,"low":1.1052,"open":1.1058,"time":"2024-01-01T21:00:00Z"},{"close":1.1062,"high":1.1071,"low":1.1056,"open":1.1065,"time":"2024-01-01T22:00:00Z"},{"close":1.1076,"higregime Money Mind — Regime Break — free allowance, then $0.31 ~319
Did the process change, or is recent weakness inside normal variation. Did the process change, or is recent weakness inside normal variation RUNS NOW: served from a daily free allowance (250 left today), then $0.31 USDC on Base via x402. No account, no API key. Example request: {"returns": [0.9, -1.0, 0.4, -1.0, 1.6, -1.0, 0.7, 0.3, -1.0, 2.1, -1.0, -1.0, 0.8, 1.4, -1.0, 0.5, -1.0, 1.9, 0.2, -1.0, 1.1, -1.0, 0.6, 1.3, -0.8, 1.5]}
| Name | Type | Req | Description |
|---|---|---|---|
| returns | – | yes | example: [0.9, -1.0, 0.4, -1.0, 1.6, -1.0, 0.7, 0.3, -1.0, 2.1, -1.0, -1.0, 0.8, 1.4, -1.0, 0.5, -1.0, 1.9, 0.2, -1.0, 1.1, -1.0, |
No output schema declared.
{"returns":[0.9,-1,0.4,-1,1.6,-1,0.7,0.3,-1,2.1,-1,-1,0.8,1.4,-1,0.5,-1,1.9,0.2,-1,1.1,-1,0.6,1.3,-0.8,1.5]}samplesize Money Mind — Sample Size — free allowance, then $0.31 ~159
How many observations before this test can answer anything — ask before you spend. How many observations before this test can answer anything — ask before you spend RUNS NOW: served from a daily free allowance (250 left today), then $0.31 USDC on Base via x402. No account, no API key. Example request: {"baseline_rate": 0.08, "min_detectable_effect": 0.2, "power": 0.8, "alpha": 0.05}
| Name | Type | Req | Description |
|---|---|---|---|
| alpha | – | yes | example: 0.05 |
| baseline_rate | – | yes | example: 0.08 |
| min_detectable_effect | – | yes | example: 0.2 |
| power | – | yes | example: 0.8 |
No output schema declared.
{"alpha":0.05,"baseline_rate":0.08,"min_detectable_effect":0.2,"power":0.8}v1_extract Money Mind — Web Extraction, cross-checked 3 ways — free allowance, then $0.02 ~202
Fetch a web page three independent ways (rendered, static, second-render cross-check), confidence-scored, with a tamper-evident attestation. Refuses protected, login and CAPTCHA pages without charging. Use when your agent needs web content it cannot fetch itself — JavaScript-rendered pages, static pages, or paginated listings — and needs to show its principal the evidence. Every extraction runs three independent fetches (rendered, static, second-render cross-check), is confidence-scored, and is wr RUNS NOW: served from a daily free allowance (25 left today), then $0.02 USDC on Base via x402. No account, no API key. Example request: {"url": "https://example.com", "extraction_target": "the page title and the body text"}
| Name | Type | Req | Description |
|---|---|---|---|
| extraction_target | – | yes | example: "the page title and the body text" |
| url | – | yes | example: "https://example.com" |
No output schema declared.
{"extraction_target":"the page title and the body text","url":"https://example.com"}What is the Money Mind — the judge MCP server?
Money Mind — the judge is an MCP server listed in the public MCP registry as io.github.Elimuaa/money-mind. Statistical adjudication for agents: backtest judges, fact-checks. Pay per call in USDC via x402. This page covers its hosted endpoint (https://money-mind-extract.onrender.com/mcp).
Is the Money Mind — the judge MCP server safe to use?
Money Mind — the judge scores 71 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 Money Mind — the judge MCP server expose?
Money Mind — the judge exposes 17 tools: check_price_data, check_eval_selection, factcheck, v1_extract, referee, and 12 more. Their descriptions and schemas cost roughly 5,089 tokens of context every time the server is loaded.
Does the Money Mind — the judge MCP server require authentication?
No. We connected to Money Mind — the judge without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Money Mind — the judge MCP server still maintained?
Money Mind — the judge is still listed as active in the MCP registry. We last reached this channel on 12 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.