Multi-provider AI spend telemetry

Name: Multi-provider AI spend telemetry: read-only pulls from OpenAI, Anthropic/Claude, Cursor, Hugging Face, Grok/xAI billing APIs feed a per-customer daily spend + anomaly-event stream. Byproduct is normalized cross-vendor token/cost time-series with baselines, forecasts, and severity-tagged anomaly labels — a cleaned alt-data feed on enterprise AI consumption patterns.
Creator: StackSpend

STACKSPENDA5 · direct accessManage supplier listing

Multi-provider AI spend telemetry: read-only pulls from OpenAI, Anthropic/Claude, Cursor, Hugging Face, Grok/xAI billing APIs feed a per-customer daily spend + anomaly-event stream. Byproduct is normalized cross-vendor token/cost time-series with baselines, forecasts, and severity-tagged anomaly labels — a cleaned alt-data feed on enterprise AI consumption patterns.

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equities
Categories: AlternativeSentiment
Regions: US
Sample tickers: MSFTGOOGLMETACRMNOW

Dataset card

Type: not stated
Format: Tabular time-series + JSON event stream (daily spend rows per provider/customer; webhook anomaly.created events with baseline vs. actual)
Volume: Cross-customer daily-spend row count scales with paying customers × providers × days; at ~100 customers × 6 providers × 365 days ≈ 220K rows/year of aggregated spend; anomaly events likely 10-100/day org-wide.
Users: ~50-200 MAU estimate — early-adopter FinOps engineers; SimilarWeb traffic likely under 5K monthly visits given the 77-follower LinkedIn.
History: 2 years
Update frequency: not stated
Growth: Active — early-stage; blog activity and LinkedIn posts within last 30 days indicate live development.
Launched: ~2024-2025 — LLM cost anomaly detection product is a very recent category (post-GPT-4 enterprise adoption wave); founder's 'past 8 years in AI startups' bio + no earlier Wayback references imply 2024 launch.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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