Macro Models

Central bank and macro classification models available in the Models Service. See the Models Service overview for API usage.

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Central Bank Data

Central Bank Stance Classifier

Stance Classifier

cb_stance_label

FREESequence Classification

Classifies central bank speech text according to the implied monetary policy stance.

Labels

Label	Description
Hawkish	Signals tighter monetary policy-rate hikes, inflation concern, or reduced accommodation.
Dovish	Signals looser monetary policy-rate cuts, growth support, or increased accommodation.
Neutral	No clear lean toward tightening or loosening; a balanced or wait-and-see tone.
Irrelevant	Off-topic text with no meaningful signal about monetary policy direction.

Examples

Hawkish

"Inflation remains elevated and the central bank is prepared to raise interest rates further if necessary."

Dovish

"With growth slowing and inflation easing, policymakers may consider lowering interest rates."

Neutral

"The central bank decided to keep interest rates unchanged while monitoring economic data."

Irrelevant

"The company announced a new product aimed at improving customer engagement."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_stance_label", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Certainty Classifier

Certainty Classifier

cb_certain_label

FREESequence Classification

Classifies the degree of certainty or commitment expressed in central bank communications.

Labels

Label	Description
Certain	The text expresses a firm commitment, clear decision, or high-confidence assessment.
Uncertain	The text hedges, qualifies, or signals doubt about outcomes or the policy path.

Examples

Certain

"The committee will raise interest rates by 25 basis points at the next meeting."

Uncertain

"The committee may consider adjusting interest rates depending on future economic conditions."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_certain_label", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Enhanced Uncertainty Classifier

Economic Uncertainty

cb_enhanced_uncertain_label

FREESequence Classification

Shows how strongly a sentence signals uncertainty about the economy or policy.

Labels

Label	Description
High Uncertainty	The text emphasizes major risks, worry, or limited ability to predict economic or policy outcomes.
Moderate Uncertainty	The text reflects mixed or middling uncertainty-not extreme stress, but not full confidence either.
Low Uncertainty	The text sounds relatively confident, with clear forecasts or limited concern about unknowns.

Examples

Low Uncertainty

"Inflation is expected to gradually decline over the coming quarters as supply conditions normalize."

Moderate Uncertainty

"While inflation is projected to ease, risks remain due to volatile global commodity prices."

High Uncertainty

"The inflation outlook is highly uncertain, with members expressing differing views amid volatile economic conditions."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_enhanced_uncertain_label", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Inflation Relevancy Classifier

Inflation Discussion

cb_inflation_relevancy_label

FREESequence Classification

Highlights when policymakers discuss inflation trends, expectations, or inflation risks.

Labels

Label	Description
Irrelevant	This passage is not mainly about inflation.
Relevant	This passage is about inflation or price-level trends and expectations.

Examples

Relevant

"Recent data suggest that inflationary pressures remain persistent, driven by higher food and energy prices."

Irrelevant

"The committee discussed improvements to the payments infrastructure and banking sector supervision."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_inflation_relevancy_label", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Precious Metal Relevancy Classifier

Precious Metals Discussion

cb_precious_metal_relevancy_label

PROSequence Classification

Shows whether a text mentions precious and base metals such as gold, silver, or copper.

Labels

Label	Description
Irrelevant	The text does not focus on precious and base metals.
Relevant	The text discusses metals markets or metal prices.

Examples

Relevant

"The central bank increased its gold holdings by 50 tonnes in Q3 as part of its reserve diversification strategy away from dollar-denominated assets."

Irrelevant

"The committee discussed changes to banking supervision and payment system regulations."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_precious_metal_relevancy_label", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Economic Status Relevancy Classifier

Overall Economy: Jobs and Prices Discussion

cb_economic_status_relevancy

PROSequence Classification

Shows whether a text is about the broad economic picture, especially unemployment and inflation.

Labels

Label	Description
Irrelevant	The text does not focus on that economic picture.
Relevant	The text discusses the general economy, unemployment, or inflation.

Examples

RELEVANT

"The committee reviewed current economic conditions and noted that overall economic activity remains stable."

IRRELEVANT

"The committee discussed updates to the national payment settlement infrastructure."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_economic_status_relevancy", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Dollar Value Relevancy Classifier

U.S. Dollar and the FX Market Discussion

cb_dollar_value_relevancy

PROSequence Classification

Shows whether a text discusses the dollar's level or moves in foreign exchange.

Labels

Label	Description
Irrelevant	The text does not focus on the dollar or foreign exchange.
Relevant	The text discusses the dollar's level or moves in foreign exchange.

Examples

RELEVANT

"The committee reviewed the recent depreciation of the U.S. dollar and its implications for import prices."

IRRELEVANT

"The committee discussed updates to banking regulations and improvements to the payments system."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_dollar_value_relevancy", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Housing Market Relevancy Classifier

Housing and Mortgages Discussion

cb_housing_relevancy

PROSequence Classification

Identifies discussion of home prices, mortgages, and the residential property market.

Labels

Label	Description
Irrelevant	The text is not mainly about housing or mortgages.
Relevant	The text is about housing, mortgages, or residential real estate conditions.

Examples

RELEVANT

"Housing starts and mortgage lending activity were highlighted as key drivers of the recent slowdown in residential investment."

IRRELEVANT

"The committee discussed upgrades to the payments infrastructure and internal audit schedules."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_housing_relevancy", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Foreign Nations Relevancy Classifier

Foreign Nations and Trade Discussion

cb_foreign_nations_relevancy

PROSequence Classification

Shows whether a text discusses cross-border economic and trade relationships involving the United States.

Labels

Label	Description
Irrelevant	The text does not focus on U.S. economic relationships with other countries.
Relevant	The text discusses U.S. economic relationships with other countries.

Examples

RELEVANT

"Policymakers discussed slowing economic growth in China and its potential impact on global demand."

IRRELEVANT

"The committee decided to maintain the current interest rate target."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_foreign_nations_relevancy", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Money Supply Relevancy Classifier

Money Supply Related Discussion

cb_money_supply_relevancy

PROSequence Classification

Shows whether a text discusses money supply measures (such as M1/M2) or shifts in monetary demand.

Labels

Label	Description
Irrelevant	The text does not focus on money supply or related monetary aggregates.
Relevant	The text discusses money supply, liquidity, or related monetary aggregates.

Examples

RELEVANT

"Broad money (M2) growth accelerated sharply over the quarter, prompting concerns about future inflationary pressures."

IRRELEVANT

"The meeting included a review of staff travel policy and conference attendance guidelines."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_money_supply_relevancy", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Claim Projection Classifier

Guidance and Forecasts vs. Reported Facts

cb_claim_projection_label

PROSequence Classification

Separates forward-looking projections and guidance from statements that reflect completed or verified results.

Labels

Label	Description
In Claim	Projection, forecast, or conditional outlook-not a finalized or purely historical number.
Out of Claim	Statement anchored in reported or historical facts rather than a live forecast.

Examples

In Claim

"The committee reaffirmed its commitment to maintaining an accommodative stance until inflation returns to target."

Out of Claim

"Participants discussed coordinating with fiscal authorities to mandate caps on consumer prices during periods of elevated inflation."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_claim_projection_label", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Forward Looking Classifier

Forward-Looking vs. Past Focus

cb_forward_looking_classification

PROSequence Classification

Shows whether a text is mainly about what lies ahead or about what already happened or is already known.

Labels

Label	Description
Forward Looking	Focuses on the future-expectations, outlook, guidance, or things not yet realized.
Not Forward Looking	Focuses on the past, settled facts, or the present situation without emphasizing future outcomes.

Examples

FORWARD_LOOKING

"The committee signalled that policy rates are likely to be eased over the coming quarters if inflation continues to fall."

NOT_FORWARD_LOOKING

"Members reviewed last quarter's data and confirmed the January rate decision, focusing on past outcomes rather than future projections."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_forward_looking_classification", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Oil and Energy Relevancy Classifier

Oil and Energy Markets Discussion

cb_oil_relevancy

PROSequence Classification

Shows whether a text mentions crude oil, energy prices, or related market conditions.

Labels

Label	Description
Irrelevant	The text does not focus on oil or energy markets.
Relevant	The text discusses oil, energy commodities, or energy markets.

Examples

RELEVANT

"Rising oil prices were noted as a material driver of upward pressure on headline inflation over the last two months."

IRRELEVANT

"Committee members agreed the minutes for the previous meeting and signed off on publication details."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_oil_relevancy", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Central Bank Labor Market Relevancy Classifier

Jobs, Wages, and the Labor Market Discussion

cb_labor_market_relevancy

PROSequence Classification

Shows whether a text discusses employment, unemployment, wages, or workforce conditions.

Labels

Label	Description
Irrelevant	The text does not focus on jobs, hiring, wages, or labor market conditions.
Relevant	The text discusses jobs, hiring, wages, or labor market conditions.

Examples

RELEVANT

"Labor market indicators showed steady job gains and a fall in the unemployment rate, supporting stronger wage growth."

IRRELEVANT

"Officials reviewed new cybersecurity protocols for financial institutions during the operational update."

Usage

curl -X POST \
  -H "x-api-key: $ZQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model_id": "cb_labor_market_relevancy", "instances": [{"text": "Your text here"}]}' \
  $ZQ_BASE_URL/v1/models/infer

Support

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