PitchBook: Get Valuation Estimates

Company Valuation Estimates.

Tool ID: pitchbook_get_valuation_estimates

Run this action

Use the TypeScript SDK for a single call. Put ctx.tools.execute(...) inside a Play when the call should be durable, scheduled, or run across a CSV.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'pitchbook_get_valuation_estimates',
  {
    "pbId": "pb_123"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute pitchbook_get_valuation_estimates --input '{
  "pbId": "pb_123"
}' --json

Example response

The SDK exposes this shape at result.toolResponse.raw. Values below are representative.

{
  "data": {
    "companyId": "company_123",
    "companyName": "Example Corp",
    "estimationDate": "2026-01-15"
  }
}

Use deepline tools get pitchbook_get_valuation_estimates --json for the latest machine-readable contract.

Input reference

For a given pbId, returns valuation estimates based on PitchBook’s predictive modeling. For detailed methodology explanation, please reference this document

Name	Type	Required	Default	Details
`payload.pbId`	`string`	Yes	—	Company pbId
`payload.sinceDate`	`string`	No	—	Search for valuation estimates relating to the period after a specific date using the > operator, before a certain date using the < operator, and between 2 dates using the ^ operator. Format: YYYY-MM-DD. Use this parameter only when the historicalEstimates parameter is applied.
`payload.historicalEstimates`	`boolean`	No	`false`	Include historical estimates. To use this parameter, set it to True. False by default
`payload.predictionDrivers`	`boolean`	No	`false`	Include prediction driver fields in the response. To use this parameter, set it to True. False by default

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.companyId`	`string`	No	—	—
`result.data.companyName`	`string`	No	—	—
`result.data.estimationDate`	`string`	No	—	Format: `date`.
`result.data.valuationEstimate`	`object \| null`	No	—	—
`result.data.valuationEstimate.amount`	`number`	No	—	—
`result.data.valuationEstimate.currency`	`string`	No	—	—
`result.data.valuationEstimate.nativeAmount`	`number`	No	—	—
`result.data.valuationEstimate.nativeCurrency`	`string`	No	—	—
`result.data.valuationEstimate.estimated`	`boolean`	No	—	—
`result.data.confidenceScore`	`string`	No	—	—
`result.data.estimateGrowthRate`	`number`	No	—	Format: `double`.
`result.data.lastKnownValuationDate`	`string`	No	—	Format: `date`.
`result.data.estimateRangeLow`	`object \| null`	No	—	—
`result.data.estimateRangeLow.amount`	`number`	No	—	—
`result.data.estimateRangeLow.currency`	`string`	No	—	—
`result.data.estimateRangeLow.nativeAmount`	`number`	No	—	—
`result.data.estimateRangeLow.nativeCurrency`	`string`	No	—	—
`result.data.estimateRangeLow.estimated`	`boolean`	No	—	—
`result.data.estimateRangeHigh`	`object \| null`	No	—	—
`result.data.estimateRangeHigh.amount`	`number`	No	—	—
`result.data.estimateRangeHigh.currency`	`string`	No	—	—
`result.data.estimateRangeHigh.nativeAmount`	`number`	No	—	—
`result.data.estimateRangeHigh.nativeCurrency`	`string`	No	—	—
`result.data.estimateRangeHigh.estimated`	`boolean`	No	—	—
`result.data.predictionDrivers`	`object`	No	—	—
`result.data.predictionDrivers.marketReturns`	`object`	No	—	—
`result.data.predictionDrivers.marketReturns.category`	`string`	No	—	—
`result.data.predictionDrivers.marketReturns.contribution`	`number`	No	—	Format: `double`.
`result.data.predictionDrivers.marketReturns.items`	`array`	No	—	—
`result.data.predictionDrivers.marketReturns.items[].name`	`string`	No	—	—
`result.data.predictionDrivers.marketReturns.items[].value`	`string`	No	—	—
`result.data.predictionDrivers.marketReturns.items[].contribution`	`number`	No	—	Format: `double`.
`result.data.predictionDrivers.comparablePerformance`	`object`	No	—	—
`result.data.predictionDrivers.comparablePerformance.category`	`string`	No	—	—
`result.data.predictionDrivers.comparablePerformance.contribution`	`number`	No	—	Format: `double`.
`result.data.predictionDrivers.comparablePerformance.items`	`array`	No	—	—
`result.data.predictionDrivers.comparablePerformance.items[].name`	`string`	No	—	—
`result.data.predictionDrivers.comparablePerformance.items[].value`	`string`	No	—	—
`result.data.predictionDrivers.comparablePerformance.items[].contribution`	`number`	No	—	Format: `double`.
`result.data.predictionDrivers.companySpecificSignals`	`object`	No	—	—
`result.data.predictionDrivers.companySpecificSignals.category`	`string`	No	—	—
`result.data.predictionDrivers.companySpecificSignals.contribution`	`number`	No	—	Format: `double`.
`result.data.predictionDrivers.companySpecificSignals.items`	`array`	No	—	—
`result.data.predictionDrivers.companySpecificSignals.items[].name`	`string`	No	—	—
`result.data.predictionDrivers.companySpecificSignals.items[].value`	`string`	No	—	—
`result.data.predictionDrivers.companySpecificSignals.items[].contribution`	`number`	No	—	Format: `double`.
`result.data.historicalEstimates`	`array`	No	—	—
`result.data.historicalEstimates[].estimationDate`	`string`	No	—	Format: `date`.
`result.data.historicalEstimates[].valuationEstimate`	`object \| null`	No	—	—

The table shows the first 50 fields. Expand the raw schema below for every field.

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0 per pricing unit.
Provider-native pricing may still exist outside Deepline credit billing.

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Reference

PitchBook: Get Valuation Estimates

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

​Run this action

​CLI

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation