Overview
Jobs Report sources data directly from the Bureau of Labor Statistics, the official source for US employment statistics. Data includes the household survey (unemployment rate) and establishment survey (nonfarm payrolls) going back to 1948.
Live Test US Employment Grounding Data Source →
The tool
Once your client is connected to the VerveContext server, this appears in its tool list as USEmploymentGroundingData. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.
{
"name": "USEmploymentGroundingData",
"arguments": {}
}Connecting
One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.
{
"mcpServers": {
"vervecontext": {
"url": "https://api.vervecontext.com/v1/mcp"
}
}
}https://api.vervecontext.com/v1/mcpPer-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.
Arguments
These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.
| Argument | Type | Description |
|---|---|---|
dateOptionalPremium | string | Optional date in YYYY-MM format for historical lookup. Omit for current data. date |
What the model gets back
The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.
{
"status": "ok",
"error": null,
"data": {
"yearMonth": "2024-01",
"year": 2024,
"month": 1,
"jobsChangeDirection": "growth",
"summary": {
"unemploymentRate": 3.7,
"laborForceParticipation": 62.5,
"totalEmployed": 161152000,
"totalUnemployed": 6124000,
"laborForce": 167276000,
"jobsChange": 353000
},
"nonfarmPayrolls": {
"total": 157245000,
"private": 133567000
},
"bySector": {
"mining": 645000,
"construction": 8123000,
"manufacturing": 12987000,
"tradeTransportUtilities": 29456000,
"information": 2987000,
"financialActivities": 9234000,
"professionalBusiness": 22876000,
"educationHealth": 25678000,
"leisureHospitality": 16789000,
"otherServices": 5892000,
"government": 23678000
},
"topSector": "Trade, Transport & Utilities",
"formatted": {
"totalEmployed": "161.15M",
"totalUnemployed": "6.12M",
"laborForce": "167.28M",
"jobsChange": "+353.0K",
"nonfarmPayrolls": "157.25M"
}
}
}
Response fields
Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.
| Field | Type | Example | Description |
|---|---|---|---|
yearMonth | string | 2024-01 | Report date in YYYY-MM format (e.g. 2024-01) |
year | number | 2024 | Year of the employment report |
month | number | 1 | Month of the employment report (1-12) |
jobsChangeDirection | string | growth | Direction of job change: 'growth', 'decline', or 'unchanged' |
summary | object | {…} | Headline labor-market figures: unemployment, participation, employment totals and the monthly jobs change |
summary.unemploymentRate | number | 3.7 | National unemployment rate as percentage |
summary.laborForceParticipation | number | 62.5 | Labor force participation rate as percentage |
summary.totalEmployedPremium | number | 161152000 | Total number of employed persons |
summary.totalUnemployedPremium | number | 6124000 | Total number of unemployed persons |
summary.laborForcePremium | number | 167276000 | Total labor force size (sum of employed and unemployed persons) |
summary.jobsChange | number | 353000 | Net change in nonfarm payroll jobs from the prior month; positive for growth, negative for decline, 0 for no change |
nonfarmPayrolls | object | {…} | Nonfarm payroll employment, total and private sector |
nonfarmPayrolls.totalPremium | number | 157245000 | Total number of employees on nonfarm payrolls |
nonfarmPayrolls.privatePremium | number | 133567000 | Number of employees on private-sector (non-government) nonfarm payrolls |
bySector | object | {…} | Employment by industry sector |
bySector.miningPremium | number | 645000 | Number of persons employed in the mining and logging sector |
bySector.constructionPremium | number | 8123000 | Number of persons employed in the construction sector |
bySector.manufacturingPremium | number | 12987000 | Number of persons employed in the manufacturing sector |
bySector.tradeTransportUtilitiesPremium | number | 29456000 | Number of persons employed in the trade, transportation & utilities sector |
bySector.informationPremium | number | 2987000 | Number of persons employed in the information sector |
bySector.financialActivitiesPremium | number | 9234000 | Number of persons employed in the financial activities sector |
bySector.professionalBusinessPremium | number | 22876000 | Number of persons employed in the professional & business services sector |
bySector.educationHealthPremium | number | 25678000 | Number of persons employed in the education & health services sector |
bySector.leisureHospitalityPremium | number | 16789000 | Number of persons employed in the leisure & hospitality sector |
bySector.otherServicesPremium | number | 5892000 | Number of persons employed in the other services sector |
bySector.governmentPremium | number | 23678000 | Number of persons employed in the government sector |
topSectorPremium | string | Trade, Transport & Utilities | Sector with highest employment count |
formatted | object | {…} | Employment figures as abbreviated strings (e.g. 160.97M) |
formatted.totalEmployedPremium | string | 161.15M | Human-readable format of total employed (e.g 161.15M) |
formatted.totalUnemployedPremium | string | 6.12M | Human-readable format of total unemployed (e.g 6.12M) |
formatted.laborForcePremium | string | 167.28M | Human-readable format of labor force size |
formatted.jobsChangePremium | string | +353.0K | Human-readable format of jobs change (e.g +353.0K) |
formatted.nonfarmPayrollsPremium | string | 157.25M | Human-readable format of nonfarm payrolls |
Why ground on it
A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.
Point an evaluation at yearMonth: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.
Failure modes
Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.
| Status | What it means |
|---|---|
400 / 422 | The arguments did not validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Blocked by a key restriction or an IP allow-list. Never a bad identity. |
404 | This source is not part of VerveContext. Check the catalog. |
429 | Out of credits, or a brief rate limit. The message tells them apart. |
A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.
Use cases
- Economic Monitoring
- Track monthly employment trends as a key economic indicator
- Labor Market Analysis
- Analyze employment by sector for industry research
- Investment Research
- Factor employment data into economic and market analysis
- Policy Research
- Study employment trends for economic policy research
Other ways to use US Employment Grounding Data
Set up US Employment Grounding Data on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.
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