← The evidence ledger
Evidence row 305941
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 6f9c8d32-12aa-4d22-a9b7-f2be9058f5f4
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- ebe6adf46a459e63aa03c5b0edbe2b93f878dd63045fb46b262835a129654075
- Leaf
- 0xc5b58f5c2800af41892aac659c505e74a3550dcfc1d397f793f9445615094e9f
What was observed
{
"count": 7,
"tools": [
{
"description": "U.S. County Business Patterns — number of businesses (establishments), employees, and payroll by industry (NAICS code) and state. Answers: How many tech companies in California? Total healthcare employees in Texas?",
"inputSchema": {
"properties": {
"naics": {
"default": "51",
"description": "NAICS industry code: 51=Tech/Info, 52=Finance, 53=Real Estate, 54=Professional Services, 62=Healthcare, 23=Construction, 44=Retail, 72=Food/Hospitality",
"type": "string"
},
"state": {
"description": "2-letter state code (CA, TX, NY). Omit for all states.",
"type": "string"
},
"year": {
"default": "2021",
"description": "Data year (default: 2021)",
"type": "string"
}
},
"type": "object"
},
"name": "get_business_patterns"
},
{
"description": "Get U.S. Census demographic data by state or county. Population, median income, poverty rate, unemployment, home values, and education level.",
"inputSchema": {
"properties": {
"level": {
"default": "state",
"description": "state (default) or county",
"type": "string"
},
"state": {
"description": "2-letter state code (CA, TX, NY). Omit for all states.",
"type": "string"
}
},
"type": "object"
},
"name": "get_demographics"
},
{
"description": "Get energy prices from the U.S. Energy Information Administration. WTI crude, Brent crude, natural gas.",
"inputSchema": {
"properties": {
"limit": {
"default": 12,
"description": "Weekly data points",
"type": "number"
},
"series": {
"default": "wti_crude",
"description": "wti_crude (default), brent_crude, natural_gas",
"type": "string"
}
},
"type": "object"
},
"name": "get_energy"
},
{
"description": "Get U.S. CPI inflation data from the Bureau of Labor Statistics. Returns latest value, YoY change, and MoM change.",
"inputSchema": {
"properties": {
"months": {
"default": 13,
"description": "Months of history (default 13)",
"type": "number"
},
"series": {
"default": "all_items",
"description": "all_items (default), core (ex food/energy), food, energy, shelter, medical",
"type": "string"
}
},
"type": "object"
},
"name": "get_inflation"
},
{
"description": "Get U.S. labor market data from BLS. Unemployment rate, nonfarm payrolls, job openings, and wages.",
"inputSchema": {
"properties": {
"months": {
"default": 13,
"description": "Months of history",
"type": "number"
},
"series": {
"default": "unemployment_rate",
"description": "unemployment_rate (default), nonfarm_payrolls, job_openings, avg_hourly_earnings, labor_force_participation",
"type": "string"
}
},
"type": "object"
},
"name": "get_jobs"
},
{
"description": "Get macroeconomic indicators from FRED (Federal Reserve). GDP, Fed funds rate, Treasury yields, housing starts, retail sales.",
"inputSchema": {
"properties": {
"limit": {
"default": 12,
"description": "Data points to return",
"type": "number"
},
"series": {
"default": "fed_funds_rate",
"description": "gdp, fed_funds_rate (default), treasury_10y, treasury_2y, yield_curve, housing_starts, retail_sales, consumer_sentiment",
"type": "string"
}
},
"type": "object"
},
"name": "get_macro"
},
{
"description": "Get U.S. national debt (daily, to the penny) and average interest rates on Treasury securities from the U.S. Treasury.",
"inputSchema": {
"properties": {
"limit": {
"default": 10,
"description": "Number of records",
"type": "number"
},
"series": {
"default": "debt",
"description": "debt (national debt, default) or interest_rates",
"type": "string"
}
},
"type": "object"
},
"name": "get_treasury"
}
]
}What the leaf hashes
{"body":"ebe6adf46a459e63aa03c5b0edbe2b93f878dd63045fb46b262835a129654075","id":305941,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793056730862025,"prev":null,"subject":"6f9c8d32-12aa-4d22-a9b7-f2be9058f5f4","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
- 0xc5b55a27597575a90f099ffbe7494d94a9ffb1c48f7a44e08e87579b90452b35
- 0xf02fb50224b17fe2d32bae7a7963863e009a8721275e208f58289e4c0a1b705e
- 0x53717506ff3db203cf7d4b05c2bd3ca02a5d1a176750dbeed4a0694d486f21df
- 0xf4b5eec5af8f7bff71c7e66746c1d8a4fdc80d931583b0f39a07dbc1da81f723
- 0xa5ef938d996eadc28ea4f7dc195895650c4088f9e3efc1d7af39a9f2c09b593c
- 0xa6629f0befc093cfee12cc6bbbf26e3e42860647c4d48ca080fcf5d105e5d862
- 0x891a71fad2c54375d944d24d111565733947a996b6243b49233266e69be1b368
- 0x0089871b9926bfffec06bda92e8c5aa3f1051796e8ec0d1d1b7044d7eb67b292
- 0xb94e1475ad75058bab5545aea4c4c9f6c4a6f7250aaaad0f06b4c4485f1643f9
- 0x4a766015a1173570ffc438320afd677a41ae92be39f86b768798615ce79c79a4
- 0xd2a07d39f43cc6c0a549d9e0f8d8244992bef3f66efa78aea10852590e0fc7dd
- 0x4d1a020de7fc0aa076daeb62ebb904d51ac6c607b605eb63a7855f34d7b69f1b
- 0x641fba1f23ec69d96721e34ace1926954d835b9614cb5eae215a069c056399b8
- 0xdbe2e8dd65ea1248b2936612538f18268abd5cf27ebdab3737694571ad496004
- 0x9f68b5e15459cb62b8c0cd4c124fa61c74147b4a5755a200fbecd21a581635d1
- 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
- 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
- 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae