FastAPI
unreachableProvides deterministic tools for analyzing, querying, filtering, transforming, and validating JSON, CSV, and structured log data.
Not seen in any discovery source since 2026-10-01.
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- Transactions · 30d
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- Latency p50
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Endpoints (1 live)
GET/mcp— Filter JSON objects by exact field value without using an LLM. (0.01 USDC on Base)
MCP tools (30)
Oasis Tokenless https://api.oasistokenless.trade/mcp
batch_router— Execute multiple independent Tokenless operations sequentially in one request.csv_inspector— Analyze large CSV datasets deterministically and return a compact structural profile.csv_query— Execute deterministic analytical queries directly against large CSV datasets and return only compact results.data_health_scanner— Deterministically scan CSV datasets for common structural data-quality problems and return a compact health report.duplicate_detector— Detect duplicate scalar JSON values without using an LLM.json_aggregate— Group JSON objects by one field and sum a numeric field without using an LLM.json_deduplicate— Remove duplicate JSON objects by one field while preserving the first occurrence.json_deep_diff— Recursively compare nested JSON objects and return only paths that were added, removed, or changed without using an LLM.json_diff— Compare two JSON objects and return only top-level fields that were added, removed, or changed without using an LLM.json_extract— Extract only selected fields from JSON objects to reduce unnecessary data before LLM processing.json_field_frequency— Count how often each field occurs across JSON objects to summarize dataset structure without using an LLM.json_filter— Filter JSON objects by exact field value without using an LLM.json_group_count— Count JSON objects grouped by a string field without using an LLM.json_inspector— Profile a large array of JSON objects in one deterministic pass and return a compact structural summary.json_missing_fields— Find JSON objects that are missing required fields and return only their indexes and missing field names without using an LLM.json_multi_filter— Filter JSON objects by multiple exact field-value conditions in a single pass without using an LLM.json_null_check— Find existing JSON fields whose values are null while keeping missing fields separate.json_numeric_range— Find the minimum and maximum values of a numeric JSON field and count present and missing values without using an LLM.json_pipeline— Execute multiple deterministic JSON operations in one request while keeping intermediate datasets inside Tokenless.json_query— Execute deterministic analytical queries over large JSON datasets and return only compact requested results.json_range_filter— Filter JSON objects by an inclusive numeric range without using an LLM.json_rename_fields— Rename fields across JSON objects while preventing target-field collisions and silent data loss.json_sort— Sort JSON objects by one field in ascending or descending order without using an LLM.json_statistics— Calculate count, sum, minimum, maximum, and average for a numeric field in JSON objects without using an LLM.json_top_n— Return only the N largest or smallest JSON objects by a numeric field without sorting and returning the entire dataset.json_type_check— Check field value types across JSON objects and return only indexes and type errors without using an LLM.json_unique_values— Find unique scalar values of a JSON field and count their occurrences without using an LLM.log_analyzer— Analyze large structured log datasets and return compact deterministic statistics without sending raw logs to an LLM.text_diff— Deterministically compare two versions of plain text and return only changed regions with limited surrounding context.text_search— Search large text deterministically and return only exact matching fragments with optional surrounding context.
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