> ## Documentation Index > Fetch the complete documentation index at: https://docs.influship.com/llms.txt > Use this file to discover all available pages before exploring further. # Score Campaign Fit > Evaluate how well creators match a specific campaign using AI analysis. Returns a fit score (0-1), decision recommendation (good/neutral/avoid), and evidence-based explanations. **Use cases:** - Vet shortlisted creators before outreach - Rank candidates for a specific campaign - Get AI-generated talking points for why a creator fits **How it works:** 1. Describe your campaign intent and target audience 2. Provide up to 100 creators to evaluate 3. Get detailed scores with explanations and evidence Also callable as the `match_creators` MCP tool — see [the MCP server guide](/guides/mcp-server) for setup. **Pricing**: 1 credit per creator scored ($0.01) ## OpenAPI ````yaml https://app.stainless.com/api/spec/documented/influship-api/openapi.documented.yml post /v1/creators/match openapi: 3.1.0 info: title: Influship API version: 1.0.0 description: > Public API for creator search, profile lookup, and campaign-fit analysis. ## Authentication Send your API key in the `X-API-Key` header on every authenticated request. ```bash curl -H "X-API-Key: your_api_key" https://api.influship.com/v1/creators/autocomplete?q=fitness ``` ## Billing and Rate Limits The API uses credit-based billing and credit-based rate limits. - every endpoint has a credit cost - successful responses include `X-Credits-Charged` and `X-Credits-Features` - rate limits are enforced with per-minute and per-hour credit budgets - rate limit state is returned in the `RateLimit-*` headers ## Pagination List endpoints use cursor pagination. - send `limit` to control page size - use `next_cursor` from the response to fetch the next page - stop when `has_more` is `false` Search has one special rule: - `POST /v1/search` creates a persisted search session - `GET /v1/search/{id}` paginates that session for free - free pagination is capped by the original search `limit` ## Errors Errors use a consistent shape: ```json { "error": { "code": "rate_limit_exceeded", "message": "Rate limit exceeded (per minute)" } } ``` See each operation for exact request and response schemas. contact: name: Influship Support email: support@influship.com license: name: Proprietary url: https://influship.com/terms servers: - url: https://api.influship.com description: Production security: - ApiKeyAuth: [] tags: - name: Health description: API health and status endpoints - name: Creators description: >- Retrieve creator profiles and discover new creators through search, autocomplete, and lookalike matching. Creators are cross-platform entities that may have profiles on multiple social networks. - name: Profiles description: >- Access individual social media profiles with detailed metrics, growth data, and activity information. Profiles are platform-specific accounts linked to creators. - name: Creator Emails description: >- Look up known creator email addresses by creator ID or social username. Empty or unresolved results are not billable. - name: Posts description: >- Retrieve and analyze social media posts with engagement metrics, media content, and performance data. - name: Search description: >- AI-powered semantic search to find creators using natural language queries. Understands intent and context to match creators based on content themes, audience, and style. - name: Live Scraping description: >- Fetch fresh data directly from social platforms in real-time. Use when you need the most current information or data for profiles not yet in our database. paths: /v1/creators/match: post: tags: - Creators summary: Score Campaign Fit description: >- Evaluate how well creators match a specific campaign using AI analysis. Returns a fit score (0-1), decision recommendation (good/neutral/avoid), and evidence-based explanations. **Use cases:** - Vet shortlisted creators before outreach - Rank candidates for a specific campaign - Get AI-generated talking points for why a creator fits **How it works:** 1. Describe your campaign intent and target audience 2. Provide up to 100 creators to evaluate 3. Get detailed scores with explanations and evidence Also callable as the `match_creators` MCP tool — see [the MCP server guide](/guides/mcp-server) for setup. **Pricing**: 1 credit per creator scored ($0.01) operationId: matchCreators requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/MatchRequest' description: Score campaign fit request responses: '200': description: Successful response content: application/json: schema: $ref: '#/components/schemas/MatchResponse' '400': description: Validation error response content: application/json: schema: $ref: '#/components/schemas/Error400' '401': description: Authentication error response content: application/json: schema: $ref: '#/components/schemas/Error401' '403': description: Permission error response content: application/json: schema: $ref: '#/components/schemas/Error403' '404': description: Not found error response content: application/json: schema: $ref: '#/components/schemas/Error404' '429': description: >- Rate limit exceeded response. Check Retry-After header for backoff timing. Also returned (without RateLimit-* headers) when an IP is temporarily blocked after repeated failed authentication attempts. content: application/json: schema: $ref: '#/components/schemas/Error429' '500': description: Internal server error response content: application/json: schema: $ref: '#/components/schemas/Error500' x-codeSamples: - lang: JavaScript source: |- import Influship from 'influship'; const client = new Influship({ apiKey: process.env['INFLUSHIP_API_KEY'], // This is the default and can be omitted }); const response = await client.creators.match({ creators: [{}, {}], intent: { query: 'Promote our new plant-based protein powder' }, }); console.log(response.data); - lang: Python source: |- import os from influship import Influship client = Influship( api_key=os.environ.get("INFLUSHIP_API_KEY"), # This is the default and can be omitted ) response = client.creators.match( creators=[{}, {}], intent={ "query": "Promote our new plant-based protein powder" }, ) print(response.data) components: schemas: MatchRequest: type: object properties: creators: minItems: 1 maxItems: 100 type: array items: $ref: '#/components/schemas/MatchCreatorInput' description: Creators to evaluate intent: $ref: '#/components/schemas/MatchIntent' required: - creators - intent description: Score campaign fit request examples: - creators: - platform: instagram username: fitness_coach_jane - creator_id: 123e4567-e89b-12d3-a456-426614174000 intent: query: Promote our new plant-based protein powder context: >- Target audience is health-conscious millennials interested in sustainable fitness MatchResponse: type: object properties: data: $ref: '#/components/schemas/MatchResponseData' required: - data additionalProperties: false Error400: $ref: '#/components/schemas/Error' description: Validation error response examples: - error: code: validation_error message: 'Invalid value for parameter ''limit'': must be between 1 and 100' param: limit request_id: 550e8400-e29b-41d4-a716-446655440000 Error401: $ref: '#/components/schemas/Error' description: Authentication error response examples: - error: code: unauthorized message: API key missing or invalid request_id: 550e8400-e29b-41d4-a716-446655440000 Error403: $ref: '#/components/schemas/Error' description: Permission error response examples: - error: code: forbidden message: Your plan does not include access to this endpoint request_id: 550e8400-e29b-41d4-a716-446655440000 Error404: $ref: '#/components/schemas/Error' description: Not found error response examples: - error: code: not_found message: Creator with ID '123e4567-e89b-12d3-a456-426614174000' not found request_id: 550e8400-e29b-41d4-a716-446655440000 Error429: $ref: '#/components/schemas/Error' description: >- Rate limit exceeded response. Check Retry-After header for backoff timing. Also returned (without RateLimit-* headers) when an IP is temporarily blocked after repeated failed authentication attempts. examples: - error: code: rate_limit_exceeded message: Rate limit exceeded (per minute) request_id: 550e8400-e29b-41d4-a716-446655440000 - error: code: rate_limit_exceeded message: Rate limit exceeded (per hour) request_id: 550e8400-e29b-41d4-a716-446655440001 - error: code: rate_limit_exceeded message: Too many failed authentication attempts. Please try again later. request_id: 550e8400-e29b-41d4-a716-446655440002 Error500: $ref: '#/components/schemas/Error' description: Internal server error response examples: - error: code: internal_error message: An unexpected error occurred. Please try again later. request_id: 550e8400-e29b-41d4-a716-446655440000 MatchCreatorInput: type: object properties: creator_id: description: Creator ID (use this OR platform+username) example: 123e4567-e89b-12d3-a456-426614174000 type: string format: uuid pattern: >- ^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$ platform: $ref: '#/components/schemas/Platform' description: Platform (required with username) username: description: Username (required with platform) example: fitness_coach_jane type: string minLength: 1 maxLength: 50 description: Creator identifier for match endpoint MatchIntent: type: object properties: query: type: string minLength: 1 maxLength: 500 description: Campaign description example: Looking for fitness influencers to promote our new protein bar context: description: Additional context about the campaign example: Target audience is health-conscious millennials type: string maxLength: 2000 required: - query description: Campaign intent for creator matching MatchResponseData: type: array items: $ref: '#/components/schemas/MatchResultItem' Error: type: object properties: error: type: object properties: code: $ref: '#/components/schemas/ErrorCode' description: Machine-readable error code message: type: string description: Human-readable error message example: Request validation failed param: description: Parameter that caused the error (if applicable) example: query type: string request_id: description: Request ID for debugging example: 550e8400-e29b-41d4-a716-446655440000 type: string details: description: Structured error context (e.g., field-level validation issues) type: object propertyNames: type: string additionalProperties: {} required: - code - message additionalProperties: false required: - error additionalProperties: false Platform: type: string enum: - instagram description: Social media platform example: instagram MatchResultItem: type: object properties: creator: type: object properties: id: type: string format: uuid pattern: >- ^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$ name: type: string avatar_url: type: - string - 'null' required: - id - name - avatar_url additionalProperties: false input: type: object properties: creator_id: type: string format: uuid pattern: >- ^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$ platform: $ref: '#/components/schemas/Platform' username: type: string additionalProperties: false match: $ref: '#/components/schemas/MatchResult' required: - creator - input - match additionalProperties: false ErrorCode: type: string enum: - validation_error - invalid_parameter - missing_parameter - unauthorized - forbidden - payment_required - not_found - rate_limit_exceeded - internal_error - service_unavailable - database_error - seed_not_found - invalid_seeds - seed_resolution_failed - lookalike_failed - get_profiles_failed - post_analysis_failed - match_failed - scraping_failed - transcript_unavailable description: Machine-readable error code for programmatic handling example: validation_error MatchResult: type: object properties: score: type: number minimum: 0 maximum: 1 description: Match score (0-1) example: 0.85 decision: $ref: '#/components/schemas/MatchDecision' reasons: type: array items: type: object properties: text: type: string description: Human-readable reason for the match example: Strong fit due to fitness content focus and engaged audience fact_id: description: ID of the supporting fact, if applicable type: string source_post_id: description: ID of the source post, if applicable type: string required: - text additionalProperties: false description: Structured reasons supporting the decision required: - score - decision - reasons additionalProperties: false MatchDecision: type: string enum: - good - neutral - avoid description: Match decision recommendation example: good securitySchemes: ApiKeyAuth: type: apiKey in: header name: X-API-Key ````