Docs/Sources/US Employment Grounding Data

US Employment Grounding Data

US Employment Statistics

OperationalCredits 2 per callp50 467msFinance

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.

Tool call
{
  "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"
    }
  }
}

Per-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.

ArgumentTypeDescription
dateOptionalPremiumstringOptional 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.

Result
{
  "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.

FieldTypeExampleDescription
yearMonthstring2024-01Report date in YYYY-MM format (e.g. 2024-01)
yearnumber2024Year of the employment report
monthnumber1Month of the employment report (1-12)
jobsChangeDirectionstringgrowthDirection of job change: 'growth', 'decline', or 'unchanged'
summaryobject{…}Headline labor-market figures: unemployment, participation, employment totals and the monthly jobs change
summary.unemploymentRatenumber3.7National unemployment rate as percentage
summary.laborForceParticipationnumber62.5Labor force participation rate as percentage
summary.totalEmployedPremiumnumber161152000Total number of employed persons
summary.totalUnemployedPremiumnumber6124000Total number of unemployed persons
summary.laborForcePremiumnumber167276000Total labor force size (sum of employed and unemployed persons)
summary.jobsChangenumber353000Net change in nonfarm payroll jobs from the prior month; positive for growth, negative for decline, 0 for no change
nonfarmPayrollsobject{…}Nonfarm payroll employment, total and private sector
nonfarmPayrolls.totalPremiumnumber157245000Total number of employees on nonfarm payrolls
nonfarmPayrolls.privatePremiumnumber133567000Number of employees on private-sector (non-government) nonfarm payrolls
bySectorobject{…}Employment by industry sector
bySector.miningPremiumnumber645000Number of persons employed in the mining and logging sector
bySector.constructionPremiumnumber8123000Number of persons employed in the construction sector
bySector.manufacturingPremiumnumber12987000Number of persons employed in the manufacturing sector
bySector.tradeTransportUtilitiesPremiumnumber29456000Number of persons employed in the trade, transportation & utilities sector
bySector.informationPremiumnumber2987000Number of persons employed in the information sector
bySector.financialActivitiesPremiumnumber9234000Number of persons employed in the financial activities sector
bySector.professionalBusinessPremiumnumber22876000Number of persons employed in the professional & business services sector
bySector.educationHealthPremiumnumber25678000Number of persons employed in the education & health services sector
bySector.leisureHospitalityPremiumnumber16789000Number of persons employed in the leisure & hospitality sector
bySector.otherServicesPremiumnumber5892000Number of persons employed in the other services sector
bySector.governmentPremiumnumber23678000Number of persons employed in the government sector
topSectorPremiumstringTrade, Transport & UtilitiesSector with highest employment count
formattedobject{…}Employment figures as abbreviated strings (e.g. 160.97M)
formatted.totalEmployedPremiumstring161.15MHuman-readable format of total employed (e.g 161.15M)
formatted.totalUnemployedPremiumstring6.12MHuman-readable format of total unemployed (e.g 6.12M)
formatted.laborForcePremiumstring167.28MHuman-readable format of labor force size
formatted.jobsChangePremiumstring+353.0KHuman-readable format of jobs change (e.g +353.0K)
formatted.nonfarmPayrollsPremiumstring157.25MHuman-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.

StatusWhat it means
400 / 422The arguments did not validate. The message names the offending one.
401The OAuth session is invalid or expired — reconnect the server.
403Blocked by a key restriction or an IP allow-list. Never a bad identity.
404This source is not part of VerveContext. Check the catalog.
429Out 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.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →
Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKit →Reference →
Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →

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