chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,249 @@
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import type {
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PdlPersonIdentifyParams,
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PdlPersonIdentifyResponse,
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} from '@/tools/peopledatalabs/types'
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import {
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PDL_CREDIT_USD,
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PDL_PERSON_OUTPUT_PROPERTIES,
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PEOPLEDATALABS_API_KEY_PREFIX,
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} from '@/tools/peopledatalabs/types'
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import { buildQueryString, projectPerson } from '@/tools/peopledatalabs/utils'
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import type { OutputProperty, ToolConfig } from '@/tools/types'
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const IDENTIFY_MATCH_PROPERTIES = {
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match_score: { type: 'number', description: 'Match confidence score (1-99)' },
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matched_on: {
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type: 'array',
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description: 'Fields that drove the match (only when include_if_matched=true)',
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optional: true,
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items: { type: 'string', description: 'Field name' },
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},
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person: {
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type: 'object',
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description: 'Person record',
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properties: PDL_PERSON_OUTPUT_PROPERTIES,
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},
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} as const satisfies Record<string, OutputProperty>
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export const personIdentifyTool: ToolConfig<PdlPersonIdentifyParams, PdlPersonIdentifyResponse> = {
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id: 'pdl_person_identify',
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name: 'PDL Person Identify',
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description:
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'Return up to 20 candidate person matches with confidence scores. Useful when you want to see all plausible matches rather than the single best one. Reference: https://docs.peopledatalabs.com/docs/identify-api-quickstart',
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version: '1.0.0',
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hosting: {
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envKeyPrefix: PEOPLEDATALABS_API_KEY_PREFIX,
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apiKeyParam: 'apiKey',
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byokProviderId: 'peopledatalabs',
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pricing: {
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type: 'custom',
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// PDL Identify charges 1 credit per call that returns matches, regardless of count.
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getCost: (_params, output) => {
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const matches = output.matches
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if (!Array.isArray(matches)) {
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throw new Error('PDL identify response missing matches, cannot determine cost')
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}
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const cost = matches.length > 0 ? PDL_CREDIT_USD : 0
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return { cost, metadata: { credits: matches.length > 0 ? 1 : 0 } }
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},
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},
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rateLimit: {
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mode: 'per_request',
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requestsPerMinute: 60,
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},
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},
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params: {
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apiKey: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'People Data Labs API key',
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},
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email: { type: 'string', required: false, visibility: 'user-or-llm', description: 'Email' },
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phone: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Phone number',
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},
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profile: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'LinkedIn profile URL',
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},
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email_hash: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'SHA-256 email hash',
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},
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lid: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'LinkedIn numeric ID',
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},
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name: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Full name',
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},
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first_name: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'First name',
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},
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middle_name: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Middle name',
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},
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last_name: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Last name',
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},
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company: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Company name or website',
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},
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school: { type: 'string', required: false, visibility: 'user-or-llm', description: 'School' },
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location: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Location',
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},
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street_address: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Street address',
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},
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locality: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'City',
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},
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region: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'State/region',
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},
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country: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Country',
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},
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postal_code: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Postal code',
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},
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birth_date: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Birth date (YYYY-MM-DD)',
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},
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data_include: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Comma-separated fields to include in each match',
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},
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include_if_matched: {
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type: 'boolean',
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required: false,
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visibility: 'user-or-llm',
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description: 'Include `matched_on` for each match',
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},
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titlecase: {
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type: 'boolean',
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required: false,
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visibility: 'user-or-llm',
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description: 'Return name fields in title case',
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},
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},
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request: {
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url: (params) => {
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const qs = buildQueryString({
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email: params.email,
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phone: params.phone,
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profile: params.profile,
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email_hash: params.email_hash,
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lid: params.lid,
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name: params.name,
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first_name: params.first_name,
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middle_name: params.middle_name,
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last_name: params.last_name,
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company: params.company,
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school: params.school,
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location: params.location,
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street_address: params.street_address,
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locality: params.locality,
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region: params.region,
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country: params.country,
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postal_code: params.postal_code,
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birth_date: params.birth_date,
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data_include: params.data_include,
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include_if_matched: params.include_if_matched,
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titlecase: params.titlecase,
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})
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return `https://api.peopledatalabs.com/v5/person/identify${qs}`
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},
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method: 'GET',
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headers: (params) => ({
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'X-Api-Key': params.apiKey,
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Accept: 'application/json',
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}),
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},
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transformResponse: async (response: Response) => {
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const data = (await response.json()) as Record<string, unknown>
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const status = (data.status as number) ?? response.status
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if (status === 404) {
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return { success: true, output: { matches: [] } }
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}
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if (!response.ok) {
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const error = (data.error as { message?: string })?.message
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throw new Error(error || `People Data Labs error: ${response.status}`)
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}
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const matches = (data.matches as Array<Record<string, unknown>>) ?? []
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return {
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success: true,
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output: {
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matches: matches.map((m) => ({
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match_score: (m.match_score as number) ?? 0,
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matched_on: (m.matched_on as string[]) ?? undefined,
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person: projectPerson((m.data as Record<string, unknown>) ?? {}),
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})),
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},
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}
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},
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outputs: {
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matches: {
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type: 'array',
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description: 'Up to 20 candidate matches, ordered by score',
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items: { type: 'object', properties: IDENTIFY_MATCH_PROPERTIES },
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},
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},
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}
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