Usage-based pricing
glim|Usage-based pricing|unknown|flat
glim|Usage-based pricing|unknown|flat
Social-API.ai · job 75%crawlora · job 82%Alpha Vantage · job 76%awesome_mcp_servers · job 77%agent-treats-mcp · job 76%Desearch AI · job 84%gateway · job 82%jiebang_tools · job 78%GroundAPI · job 76%gadgethumans_mcp · job 76%social-superpowers · job 81%daedra · job 79%blockrun_mcp · job 84%agentwings_exa_mcp_server · job 81%scrapingdog_mcp · job 76%AgentScrape · job 80%search1api_mcp · job 79%Dumpling AI MCP Server · job 79%discoveryagent · job 78%ryxell agent search · job 80%Vee3 · job 79%lodd_analytics · job 79%reddit · job 78%mu · job 83%Terminalfeed · job 79%ninelayer · job 84%HasData MCP Server · job 80%oxylabs_mcp · job 80%AnyAPI · job 76%Cryptopolitan MCP · job 77%quanticdata · job 83%livedatalink · job 77%sparkforge · job 77%Aipaygen · job 77%Nimble MCP Server · job 78%Percentages are graph-similarity metadata, not suitability scores. A graph edge answers “is it connected” — plan fit and comparable cost are checked below.
Pick the exact reference and alternative series. Each history is separate; gaps stay gaps.
This view calls the same get_evidence tool your agent would — chart, table and MCP response describe the same records. Watch the reference series