TensorFeed
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TENSORFEED_TOKEN | No | Token to enable paid tools. Buy credits at tensorfeed.ai/developers/agent-payments |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_ai_newsA | Get the latest AI news articles from TensorFeed.ai. Aggregates from 15+ sources including Anthropic, OpenAI, Google, TechCrunch, The Verge, arXiv, and more. |
| get_ai_statusA | Get real-time operational status of major AI services (Claude, OpenAI, Gemini, Mistral, Cohere, Replicate, Hugging Face). |
| is_service_downB | Check if a specific AI service is currently down or experiencing issues. |
| get_model_pricingA | Get AI model pricing comparison across all major providers (Anthropic, OpenAI, Google, Meta, Mistral, Cohere). Prices per 1M tokens. |
| get_ai_todayB | Get a summary of what happened in AI today. Returns the top stories from the last 24 hours. |
| get_agent_activityA | Get live AI bot traffic on TensorFeed.ai. Returns today's bot hit count, the most recent 50 hits with bot name + endpoint + timestamp, and a derived top-bots breakdown. Useful when an agent wants to see which crawlers are pulling AI ecosystem data and how that distribution shifts. Free, no auth. |
| get_account_balanceA | Check the credit balance for the configured TensorFeed bearer token. Free, but requires TENSORFEED_TOKEN to be set. |
| get_account_usageA | Show per-endpoint usage for the configured TensorFeed token (last 100 calls aggregated). Free, but requires TENSORFEED_TOKEN. |
| premium_routingB | Get a ranked list of recommended AI models for a task with full score breakdown (quality, availability, cost, latency). Costs 1 credit. |
| pricing_seriesA | Daily price points for one AI model with min/max/delta summary. Default range = last 30 days, max 90 days. Costs 1 credit. |
| benchmark_seriesA | Score evolution for a single benchmark on one AI model. Costs 1 credit. Benchmark keys: swe_bench, mmlu_pro, gpqa_diamond, math, human_eval. |
| status_uptimeA | Daily uptime rollup for one provider with operational/degraded/down day counts and uptime % (degraded counts as half-credit). Costs 1 credit. |
| premium_agents_directoryB | Enriched AI agents catalog joined with live status, recent news, agent traffic, flagship pricing, and a 0-100 trending_score. Costs 1 credit. |
| whats_newA | Agent morning brief: pricing changes, new/removed models, status incidents, and top news from the last 1-7 days. The tool to call when your agent boots up. Costs 1 credit. |
| compare_modelsA | Side-by-side comparison of 2-5 AI models. Returns pricing, benchmarks (normalized to a union of keys with null for missing scores), provider status, and recent news per model, plus rankings (cheapest blended, most context, per-benchmark leaderboard). Costs 1 credit. |
| provider_deepdiveA | Everything about an AI provider in one call: live status, all models with pricing + tier + benchmark scores joined in, recent news mentions, and agent traffic. Costs 1 credit. Aggregation IS the value; doing this from free endpoints would take 4 round-trips. |
| cost_projectionA | Project the cost of a token-usage workload across 1-10 AI models. Returns daily/weekly/monthly/yearly totals per model and a ranking by cheapest monthly. Costs 1 credit. |
| news_searchA | Full-text search over the TensorFeed news article corpus with optional date range, provider, and category filters. Relevance scoring with recency boost. Costs 1 credit. |
| list_watchesA | List the active webhook watches owned by the configured TensorFeed token. Free, requires TENSORFEED_TOKEN. |
| create_price_watchA | Register a webhook watch on a model price change. Costs 1 credit. Watch lives 90 days. Each fire is an HMAC-signed POST to callback_url. |
| create_status_watchA | Register a webhook watch on a service status transition (e.g. anthropic becomes down). Costs 1 credit. Watch lives 90 days. |
| create_digest_watchA | Register a scheduled digest webhook that fires daily or weekly with a curated summary of pricing changes (regardless of whether anything dramatic happened). Costs 1 credit. Watch lives 90 days. Set-and-forget for agents that want a periodic snapshot without subscribing to realtime transitions. |
| delete_watchA | Delete one of your active webhook watches by id. Free, requires TENSORFEED_TOKEN. |
| mcp_registry_snapshotA | Today's summary of the official Model Context Protocol server registry. Returns total servers, by-status breakdown, top namespaces, and 1-day deltas (newly added, reactivated, deprecated). Captured daily at 9:30 AM UTC from registry.modelcontextprotocol.io. Useful when an agent wants to see how the MCP ecosystem is growing or detect freshly-deprecated servers it may be using. Free, no auth. |
| mcp_registry_seriesA | Multi-day series of MCP server registry growth and churn. Returns per-day total servers, active count, and daily added/removed counts across the requested window. The registry itself is open data, but a 30/90-day trend requires daily capture started weeks ago, which TensorFeed has been running. Costs 1 credit. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 25 tools
Most tools have distinct purposes, but there is some overlap between news tools (get_ai_news, get_ai_today, news_search, whats_new) and pricing tools (get_model_pricing, pricing_series, cost_projection). Detailed descriptions help differentiate, but an agent might still misselect in these clusters.
Tool names follow a consistent verb_noun pattern (get_, create_, delete_, list_, is_), with only minor deviations like 'whats_new' and 'is_service_down'. Overall, the naming convention is predictable and clear.
With 25 tools covering benchmarks, pricing, news, status, webhooks, and MCP registry, the count is slightly on the high side but still appropriate for the broad domain. Each tool serves a specific niche.
The tool surface covers most expected operations for an AI ecosystem data provider: benchmarks, pricing, news, status, webhooks, and account management. Minor gaps exist, such as the lack of a single model detail tool (only via comparison or deepdive), but core workflows are well-supported.