LLllmpulse
Metrics

Time-series metrics

Changed on

Returns time-series data for one or more metrics, broken down by actor (project + competitors). Supports day/week/month granularity, with sticky carry-forward semantics for week/month aggregates.

get/metrics/timeseries

Request

  • Base URL
    https://api.llmpulse.ai/api/v1
  • URL
    https://api.llmpulse.ai/api/v1/metrics/timeseries
  • Auth
    API key in header Authorization

Query parameters

project_idinteger required

Project ID

metricsstring

Comma-separated list of metrics: mentions, citations, responses, mention_rate, visibility (alias for mention_rate), weighted_visibility, ai_visibility_score (alias for weighted_visibility), citation_rate, avg_position, avg_mention_position, net_sentiment, sentiment_very_positive, sentiment_positive, sentiment_neutral, sentiment_negative, sentiment_very_negative. Citations and citation_rate include visible citations and background source references; avg_position uses visible citations only.

granularity'day' | 'week' | 'month'
rangeinteger

Number of days to look back (alternative to from/to)

fromstring date-time
tostring date-time

End of the window. A date-only value such as 2026-09-01 covers that whole day. Pass a full timestamp to end the window earlier.

competitorsstring

Comma-separated competitor IDs (unknown IDs return ERR_INVALID_PARAM)

model'chatgpt' | 'perplexity' | 'ai_mode' | 'ai_overview' | 'gemini' | 'copilot' | 'amazon_rufus' | 'claude' | 'grok' | 'deepseek' | 'naver_ai' | 'baidu_ai' | 'meta_ai' | 'naver_ai_tab' | 'qwen' | 'doubao'

Filter by one AI model. It must be a model enabled for the API key's user: an unknown value, or a model the user has not enabled, returns 422 ERR_INVALID_PARAM with the valid values in the message. The legacy values google-ai-mode and google-ai-overview are also accepted, as ai_mode and ai_overview.

collection_idstring

One collection/tag ID or a comma-separated list of IDs. A query value is always a string on the wire, so it is typed as one: the previous integer-or-string union made generators emit a wrapper type they could not serialize.

country_codestring

One ISO country code or a comma-separated list (e.g. US,GB,DE)

language_codestring

One ISO language code or a comma-separated list (e.g. en,es,de)

promptinteger

Filter by prompt ID

prompt_typestring

One prompt type or a comma-separated list: informational, navigational, commercial, transactional

brand_kind'brand' | 'brand_other' | 'non_brand'

Filter by brand kind: brand (own brand/products), brand_other (competitors/other brands), non_brand (generic, no brand named). For fair 1:1 brand-vs-competitor comparisons (visibility, share of voice), use non_brand: brand-focused prompts skew results toward the brand they name. The in-app Overview page applies non_brand by default.

include_projectboolean
output'flat' | 'csv'

Rectangular output for BI tools (Tableau, Excel, Sheets, ELT). Omit for the default nested JSON. 'flat' returns the same metadata plus 'columns' and 'rows'; 'csv' returns those rows as text/csv. Errors are always returned as JSON.

Response

Time-series data

project_idinteger
fromstring date-time
tostring date-time
granularitystring

day, week or month

seriesobject
request_idstring

Changes