AthenaHQ
by athenahq.ai in Search & web
Track how AI assistants mention, cite, and rank your brand and competitors in AI search.
https://api.athenahq.ai/api/mcp- Tools
- 103
- open to any client
- Uptime
- 100%
- last 30 days
- Response time
- 497 ms
- 661 ms slowest 5%
- Last check
- Passed
- 11 h ago, next any minute now
Reliability
Status and outage history · Atom feed · Watch with other listings
How to connect
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"athenahq": {
"type": "http",
"url": "https://api.athenahq.ai/api/mcp"
}
}
}103 tools
- open_ai_access
Open the AthenaHQ AI crawler access panel. Enter a public HTTPS domain to inspect crawler responses and robots.txt permissions without an AthenaHQ account.
- check_public_ai_access
Check HTTP responses to AI crawler user agents and robots.txt permissions for a public website. No AthenaHQ account required. Search, retrieval and training are separate. Requests originate from AthenaHQ, not verified crawler IPs. Unknown responses are inconclusive; this does…
- get_prompt_schedules
List the Default, custom and archived streaming schedules for a website. Use each row's selection value when filtering analytics or responses. Default includes all pre-cutover history and ad hoc runs; archived schedules retain results. To combine schedules, pass several…
- get_ai_search_value
AI Search Value for a website: topic-market value, captured value range, headroom, coverage, value-weighted AI share of voice, per-topic detail, and modeled attributed contribution.
- get_prompts
List prompts (search queries) tracked for a website
- get_prompt_tags
List prompt tags for a website with per-tag prompt counts. Tag IDs can be used with the prompt_tags filter on the prompts endpoint.
- get_personas
List personas configured for a website with per-persona prompt counts. Use it to resolve persona_id values returned by other tools to persona names and descriptions.
- get_topics
List topics (groupings of prompts) for a website, with the count of prompts in each
- get_competitors
List competitors tracked for a website
- get_content_hub_sheets
List the Content Hub tabs/sheets configured for a website. Use to discover available tabs (e.g. 1st-party content, 3rd-party placements, Reddit) before calling get_tracked_content with a specific sheet_id (metrics; excludes in-flight pipeline items) or list_content (every item…
- get_tracked_content
List tracked content (1st-party drafts, imported pages, 3rd-party placements) with citation, mention, and impression metrics for the supplied date range and filters. Supports pagination via page_num / page_size and optional filtering by Content Hub sheet_id or content_type…
- list_content
Enumerate every content item in a website's Content Hub, published or not: in-flight drafts, briefs, snipes, optimize and slice runs, scheduled and failed items, plus tracked pages. Returns identity fields only (id, title, type, stage, sheet, URL, timestamps, target prompt ids)…
- get_content_detail
Fetch the full detail of a single tracked content item — its brief and body text (drafts, optimize rewrites, snipes, authored and scraped pages), plus status, cited source URLs, and links. Use after get_tracked_content to read the actual text behind a content_id. A status of…
- get_content_citation_prompts
For a single tracked content item, list every prompt whose AI responses cited it — with citations, citation %, and estimated impressions. Use after get_tracked_content to drill into which prompts a given URL is appearing for. This is CITED-BY, measured over the requested date…
- list_websites
List every website accessible to the calling session. Works with any API key (global or scoped) and with MCP/OAuth sessions. Call with an empty argument object `{}`. Each item includes `baseCountry`, the country market the website targets: use it to tell same-brand websites for…
- get_locations
List geo-locations configured for a website
- get_date_range
Get the earliest and latest response dates for a website
- get_responses
Get LLM responses for a website. Shows how AI models answer queries, with sources, sentiment, and ranking data. Filter by whether a model used search queries or by text within those queries. For a variation-level export at volume, pair filters.variation_filter with…
- get_response_streaming_status
Read the latest (or a specific) response-streaming run's whole-run state and response-queue progress. Only completed means downstream analysis has finished
- get_response_detail
Fetch a single LLM response by id with full sources, mentions, and rank details.
- get_saved_views
List saved views (filter presets) for a website
- get_group_saved_views
List group-level saved views (filter presets) shared across the websites in a group
- get_credits_organization
Get credit balance for the organization
- get_credits_website
Get credit balance for a specific website
- get_groups
List all groups in the organization (global API key only)
- get_group_detail
Fetch a single group by id with its member websites.
- get_share_of_voice_cumulative
Get cumulative share of voice — overall SOV for each competitor across the date range. Each entry also includes relative_mention_rate: the share of responses mentioning any tracked brand that mention this entity.
- get_share_of_voice_time_series
Get share of voice over time — how often the website is mentioned vs competitors, grouped by day. Each entry also includes relative_mention_rate: the share of that day's responses mentioning any tracked brand that mention this entity.
- get_citation_rate_cumulative
Get cumulative citation rate — average citation rate for each competitor across the date range.
- get_citation_rate_time_series
Get citation rate over time — how often AI models cite (link to) the website, grouped by day.
- get_mention_rate_cumulative
Get cumulative mention rate — average mention rate for each competitor across the date range. mention_rate is absolute (share of all responses); relative_mention_rate is the share of responses mentioning any tracked brand.
- get_mention_rate_time_series
Get mention rate over time — how often AI models mention the website by name, grouped by day. mention_rate is absolute (share of that day's responses); relative_mention_rate is the share of that day's responses mentioning any tracked brand.
- get_position_cumulative
Get cumulative position — average ranking position for each competitor across the date range.
- get_position_time_series
Get ranking position over time — average position of the website in AI model responses, grouped by day.
- get_position_distribution
Get position distribution: share of responses where the brand ranks top/middle/bottom across the date range.
- query_metrics
Query aggregated metrics for brand performance, competitors, sources, citations, and response trends. Use query_rows for individual records. Mentions: from "response_mentions". Citations: from "citations". On either, where { is_website: true } selects the brand; {…
- query_rows
Query individual analytics rows. Use for qualitative data like response text, specific identifiers, or individual mentions. Schedule selection: pass schedule: "default" or a custom/archived UUID from the schedule catalog, or an array of them to combine schedules. Omit to use…
- list_pitches
List pitch workspace reports for the organization. Returns all non-deleted pitches with their status and metadata.
- get_pitch
Get a pitch report by ID including competitors, prompts, attributes, top citing sources, and aggregate metrics (brand mentions, sentiment, response rate).
- get_sources
List top cited sources (root domains) for a website with citation, mention, brand-mention, and impression metrics. Each row is classified as owned / competitor / partner / third_party. Supports filters (date range, models, prompts, competitors, locations, personas), sort, and…
Security scan
No findings
We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 11 h ago | Passed | 200 | 380 ms |
| 22 h ago | Passed | 200 | 497 ms |
| 33 h ago | Passed | 200 | 661 ms |