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BlockRun Prediction Market Category Metrics
x402
BlockRun Prediction Market Category Metrics is a paid API for AI agents from blockrun.ai, paid per call via x402, $0.0085/call, status unknown (last checked 2026-10-11).
Returns aggregated metrics for prediction market categories, such as volume, liquidity, and activity breakdowns by category.
Price / call$0.0085
Success—
StatusUnknown
How this service works
Pay for the outcome. One endpoint for every model, tool and data source an agent needs — each call priced before it runs, at the best value per dollar. 115 models and 100 data and tool APIs.
Output
A JSON object containing aggregated metrics for each prediction market category, likely including fields such as category name, number of markets, total trading volume, liquidity, and activity indicators.
Example use cases
Identifying hot prediction market sectors
“Which prediction market categories are seeing the most trading volume and liquidity right now? I want to know where most of the action is.”
Market research for a prediction platform
“I'm building a prediction market dashboard — can you get me the category-level breakdown of markets, including volume and activity stats, so I can see which sectors are most popular?”
Monitoring category trends over time
“Pull the category metrics from BlockRun's prediction market data so I can see how different sectors like politics, sports, and crypto are performing relative to each other.”
Technical details
Endpoint
GEThttps://blockrun.ai/api/v1/surf/prediction-market/category-metrics?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a high-level overview of prediction market activity segmented by category, rather than individual market details. It is ideal for dashboards, research, or routing logic that needs to understand which sectors are most active. Prefer it over market-level endpoints when you want aggregated, cross-market insights rather than per-market data.
Side effects
- Empty or minimal response if no category data is currently available
- HTTP 402 if payment (USDC via x402) is not properly attached to the request
- HTTP 429 rate limiting if called too frequently
- Stale data if the underlying prediction market data source has not been updated recently
- Schema may return an empty data object if the endpoint is under-populated
Tags
x402
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