Certified SEC EDGAR fact memory for AI agents with zero hallucination and filing provenance.
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Exact compound annual growth rate (CAGR) calculation over verified SEC filing facts. Deterministic mathematical execution with zero language model confabulation.
EDGAR metric to compound, e.g. revenue, free cash flow, net income
Company ticker or name, e.g. AAPL
End fiscal period, e.g. FY2023
Start fiscal period, e.g. FY2020
Optional. When true, returns compact JSON schema.
Exact compound annual growth rate (CAGR) calculation over verified SEC filing facts. Deterministic mathematical execution with zero language model confabulation.
| Argument | Type | Description |
|---|---|---|
| metric* | string | EDGAR metric to compound, e.g. revenue, free cash flow, net income |
| company* | string | Company ticker or name, e.g. AAPL |
| end_period* | string | End fiscal period, e.g. FY2023 |
| low_tokens | boolean | Optional. When true, returns compact JSON schema. |
| start_period* | string | Start fiscal period, e.g. FY2020 |
{
"type": "object",
"required": [
"company",
"metric",
"start_period",
"end_period"
],
"properties": {
"metric": {
"type": "string",
"description": "EDGAR metric to compound, e.g. revenue, free cash flow, net income"
},
"company": {
"type": "string",
"description": "Company ticker or name, e.g. AAPL"
},
"end_period": {
"type": "string",
"description": "End fiscal period, e.g. FY2023"
},
"low_tokens": {
"type": "boolean",
"description": "Optional. When true, returns compact JSON schema."
},
"start_period": {
"type": "string",
"description": "Start fiscal period, e.g. FY2020"
}
}
}Deterministic zero-error algebraic solver (cagr, ratio, multiply, divide, yoy_series, product_chain) over verified SEC EDGAR financial metrics.
| Argument | Type | Description |
|---|---|---|
| op* | string | cagr | ratio | multiply | divide | yoy_series | product_chain |
| metric | string | EDGAR metric, e.g. free cash flow, revenue |
| company | string | Ticker or name when fetching EDGAR cells |
| factors | string | Optional comma-separated positive factors for product_chain, e.g. 0.79,0.30,1.07,4.5 |
| periods | string | Optional comma-separated fiscal periods for yoy_series/product_chain, e.g. FY2020,FY2021,FY2022 |
| end_period | string | End / denominator period, e.g. FY2023 |
| low_tokens | boolean | Optional. When true, returns compact JSON schema. |
| start_period | string | Start / numerator period, e.g. FY2020 |
Certified SEC fact query. Returns verified values with provenance or SAFE_REFUSAL. Does not invent numbers. Treat SAFE_REFUSAL as success-of-honesty, not a tool failure. Monetary answers default to the filer's reporting currency; request FX conversion via target_currency / usd_only or natural-language 'in USD'.
| Argument | Type | Description |
|---|---|---|
| query* | string | Natural language financial question. Append 'in USD' (or another supported ISO code) to convert foreign reporting currencies after verified recall. |
| usd_only | boolean | When true, forces monetary answers into USD. |
| low_tokens | boolean | Optional. When true, returns compact ~38-token schema optimized for LLM context windows. |
| target_currency | string | Optional ISO 4217 code (e.g. USD, EUR) for post-recall FX conversion using audited annual-average rates. Provenance records original_unit, fx_rate, and fx_converted. |
{
"type": "object",
"required": [
"query"
],
"properties": {
"query": {
"type": "string",
"description": "Natural language financial question. Append 'in USD' (or another supported ISO code) to convert foreign reporting currencies after verified recall."
},
"usd_only": {
"type": "boolean",
"description": "When true, forces monetary answers into USD."
},
"low_tokens": {
"type": "boolean",
"description": "Optional. When true, returns compact ~38-token schema optimized for LLM context windows."
},
"target_currency": {
"type": "string",
"description": "Optional ISO 4217 code (e.g. USD, EUR) for post-recall FX conversion using audited annual-average rates. Provenance records original_unit, fx_rate, and fx_converted."
}
}
}Exact EDGAR metric recall for company+metric+period. Server-side verified fact with provenance; SAFE_REFUSAL when missing. No LLM math.
| Argument | Type | Description |
|---|---|---|
| metric* | string | EDGAR metric, e.g. net income, free cash flow, total revenue, operating cash flow |
| period* | string | Fiscal period, e.g. FY2023 |
| company* | string | Company ticker or name, e.g. AAPL |
| low_tokens | boolean | Optional. When true, returns compact JSON schema. |
{
"type": "object",
"required": [
"company",
"metric",
"period"
],
"properties": {
"metric": {
"type": "string",
"description": "EDGAR metric, e.g. net income, free cash flow, total revenue, operating cash flow"
},
"period": {
"type": "string",
"description": "Fiscal period, e.g. FY2023"
},
"company": {
"type": "string",
"description": "Company ticker or name, e.g. AAPL"
},
"low_tokens": {
"type": "boolean",
"description": "Optional. When true, returns compact JSON schema."
}
}
}Returns certified SEC EDGAR XBRL metrics across an industry peer group dynamically derived from SEC filing SIC codes and 10-K business segment disclosures. Use this for sector screening or when no specific company ticker is provided.
| Argument | Type | Description |
|---|---|---|
| limit | number | Optional peer limit, default 5 |
| period | string | Optional filing period, e.g. FY2025 |
| metrics | string | Optional comma-separated or array of SEC XBRL metrics, e.g. Revenues,OperatingIncome,TotalLongTermDebt |
| low_tokens | boolean | Optional. When true, returns compact JSON schema. |
| sector_or_industry* | string | Industry or sector description as declared in SEC filings, e.g. 'photonics', 'optics', 'semiconductors', 'pharmaceuticals', 'aerospace' |
{
"type": "object",
"required": [
"sector_or_industry"
],
"properties": {
"limit": {
"type": "number",
"description": "Optional peer limit, default 5"
},
"period": {
"type": "string",
"description": "Optional filing period, e.g. FY2025"
},
"metrics": {
"type": "string",
"description": "Optional comma-separated or array of SEC XBRL metrics, e.g. Revenues,OperatingIncome,TotalLongTermDebt"
},
"low_tokens": {
"type": "boolean",
"description": "Optional. When true, returns compact JSON schema."
},
"sector_or_industry": {
"type": "string",
"description": "Industry or sector description as declared in SEC filings, e.g. 'photonics', 'optics', 'semiconductors', 'pharmaceuticals', 'aerospace'"
}
}
}Certified SEC/EDGAR valuation inputs pack (12 packs including dcf_valuation_inputs historical FCF). Not market EV, P/E, trading DCF, or macro gauges (Buffett Indicator / CAPE).
| Argument | Type | Description |
|---|---|---|
| pack* | string | Certified SEC valuation pack ID (equity_screen, ev_bridge, quality_of_earnings, segment_mix, returns_screen, leverage_screen, piotroski_f, altman_z_prime, beneish_m_score, dupont_5step, working_capital_efficiency, dcf_valuation_inputs) |
| period | string | Optional reporting period, e.g. FY2023, Q3 FY2023. Defaults to FY2023 if omitted. |
| company* | string | Company ticker or name, e.g. AAPL, TSLA, MSFT |
| low_tokens | boolean | Optional. When true, returns compact JSON schema. |
{
"type": "object",
"required": [
"company",
"pack"
],
"properties": {
"pack": {
"type": "string",
"description": "Certified SEC valuation pack ID (equity_screen, ev_bridge, quality_of_earnings, segment_mix, returns_screen, leverage_screen, piotroski_f, altman_z_prime, beneish_m_score, dupont_5step, working_capital_efficiency, dcf_valuation_inputs)"
},
"period": {
"type": "string",
"description": "Optional reporting period, e.g. FY2023, Q3 FY2023. Defaults to FY2023 if omitted."
},
"company": {
"type": "string",
"description": "Company ticker or name, e.g. AAPL, TSLA, MSFT"
},
"low_tokens": {
"type": "boolean",
"description": "Optional. When true, returns compact JSON schema."
}
}
}Returns a complete structured overview of all certified EDGAR valuation packs, deterministic financial arithmetic operations, SEC calculations, and product scope boundaries on finsec.caleralabs.com.
| Argument | Type | Description |
|---|---|---|
| low_tokens | boolean | Optional. When true, returns compact JSON schema. |
{
"type": "object",
"required": [],
"properties": {
"low_tokens": {
"type": "boolean",
"description": "Optional. When true, returns compact JSON schema."
}
}
}{
"type": "object",
"required": [
"op"
],
"properties": {
"op": {
"type": "string",
"description": "cagr | ratio | multiply | divide | yoy_series | product_chain"
},
"metric": {
"type": "string",
"description": "EDGAR metric, e.g. free cash flow, revenue"
},
"company": {
"type": "string",
"description": "Ticker or name when fetching EDGAR cells"
},
"factors": {
"type": "string",
"description": "Optional comma-separated positive factors for product_chain, e.g. 0.79,0.30,1.07,4.5"
},
"periods": {
"type": "string",
"description": "Optional comma-separated fiscal periods for yoy_series/product_chain, e.g. FY2020,FY2021,FY2022"
},
"end_period": {
"type": "string",
"description": "End / denominator period, e.g. FY2023"
},
"low_tokens": {
"type": "boolean",
"description": "Optional. When true, returns compact JSON schema."
},
"start_period": {
"type": "string",
"description": "Start / numerator period, e.g. FY2020"
}
}
}