FastAPI

unreachable

Provides deterministic tools for analyzing, querying, filtering, transforming, and validating JSON, CSV, and structured log data.

AIBasex402 v2exactoasistokenless.trade ↗︎

Not seen in any discovery source since 2026-10-01.

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Transactions · 30d
0
Volume · 30d
$0.00
Unique buyers · 30d
1
Uptime · 30d
0.0%
Latency p50
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Reported calls · 30d
0

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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