30 Services from tensorfeed.ai

Projects the cost of a token-usage workload across 1–10 AI models, returning daily/weekly/monthly/yearly cost totals per model ranked by cheapest monthly cost.

Returns filtered, ranked CVE security disclosures specifically covering AI inference, agent frameworks, training libraries, vector databases, model gateways, and MCP tool layers, sorted by exploited-in-wild and critical severity first.

Returns per-institution AI research publication velocity comparing a 30-day window to a 365-day baseline, with direction classification, notable movers, and breakdowns by country and affiliation type.

Returns week-over-week momentum and velocity metrics for AI/ML PyPI packages, classifying each as accelerating, steady, or declining and surfacing notable movers.

Returns the top 50 trending multi-word keyphrases from recent arXiv AI abstracts, ranked by frequency lift over the past 30 days versus a 90-day baseline, with example paper IDs for each phrase.

Returns per-token market setup classifications combining price momentum with venue-weighted perpetual funding-rate skew, plus cohort breadth and notable mover summaries.

Returns a filtered, timestamped feed of AI-relevant APIs from the APIs.guru OpenAPI directory, with per-entry first_seen_at timestamps enabling detection of newly added AI APIs within any time window.

Returns a deprecation timeline for AI models enriched with urgency bands, days until/since sunset, and resolved migration chains to active replacements.

Returns a ranked list of top-N AI models for a given task, combining live pricing, benchmarks, provider status, and latency into a single composite score.

Returns the top 100 AI researchers ranked by publication volume in the trailing 365 days, enriched with h-index, i10-index, citation counts, institutional affiliation, country, ORCID, and AI-share-of-total metric.

Returns recency-weighted AI safety incident exposure scores and distributions per developer and deployer, derived from the AVID incident database refreshed daily.

Returns a composite recession-risk signal combining yield-curve inversion (10Y-2Y spread) and Sahm-rule unemployment trigger, each rated red/yellow/green with explanations and an overall verdict.

Compares 2–5 AI models side-by-side, returning normalized benchmarks, pricing, live provider status, recent news, and per-benchmark rankings in a single payload.

Returns a forward/backward calendar of AI policy and regulation entries, classified as past/active/upcoming relative to now, with days-until-effective and next-3-milestones, filterable by jurisdiction and time window.

Returns release velocity metrics (24h/7d/30d counts, semver bump classification, breaking-change flag) for AI/ML packages on PyPI and npm, with notable-movers lists

Returns arXiv preprints from the last 30 days flagged as milestone candidates, with structured reasoning identifying benchmark improvements, model releases, or novel architectures extracted by an offline Qwen 3.6 27B model.

Returns the top 100 recent AI papers ranked by the fraction of their total citations earned in the most recent calendar year, surfacing papers that are currently gaining traction.

Returns per-package security risk scores and classifications for AI/ML PyPI and npm packages based on daily OSV vulnerability snapshots, with notable movers and risk band categorization.

Returns cross-provider arbitrage analytics for hosted LLM inference, including cheapest/most expensive pricing, spread, savings percentage, TPS leaders, and top arbitrage opportunities per model.

Returns a consolidated 24-hour digest of AI pricing changes, new/removed models, service-status incidents, and top AI news headlines in a single paid call.

Returns a structured LLM-ready fact card for a single OpenRouter model, including normalized pricing and capability flags.

Returns the subset of AI-stack CVEs currently flagged as exploited in the wild, ranked by severity, from the latest AI-processed batch.

Returns a ranked verdict on which AI provider/model best fits a given task, optimized by cost, speed, quality, or balance, based on live reliability and benchmark data.

Returns derived structural metrics over the AI funding portfolio: silicon-vendor concentration, circular-loop classifications, co-investor pairs, and top recipients by inbound capital.

Ranks candidate AI models for a given task by cost, speed, quality, or balanced optimization, returning a trust verdict based on live benchmarks and pricing data.

Returns the enriched AI agents catalog joined with live provider status, recent news mentions, 24h traffic, and model pricing, ranked by a derived trending score.

Given a task description and optimization objective, returns a ranked recommendation of which AI model/API to use, factoring in live service status and model benchmarks

Ranks and recommends the best AI model for a given task based on a specified optimization objective (cost, speed, quality, or balanced)

Returns a safety/risk verdict for a given AI model or stack candidate, ranked and filtered based on prompt task description and optimization objective

Returns a ranked verdict on which AI models best match a given task, optimized by cost, speed, quality, or balance, using live pricing and benchmark data.