# Staking Supplied Rewards — Numeric Interval Filter + Keyed Dataset Comparison > Staking Supplied Rewards — Numeric Interval Filter + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29). Applies numeric interval filtering and keyed dataset comparison across two sets of staking reward records (reward_units, staked_units) for up to 200 rows each. ## Facts - Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-15-134?utm_source=zero.xyz - Price: $0.01/call - Payment: x402 - Status: unknown - Last checked: 2026-10-29 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/staking-supplied-rewards-numeric-interval-filter-keyed-dataset-adb630f9 - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EHPTfN_fasLA_8ZJrRLUv Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability staking-supplied-rewards-numeric-interval-filter-keyed-dataset-adb630f9 -d '' ``` Example prompt: I have two sets of staking reward records — each with row_id, instrument_group, date, reward_units, and staked_units — and I want you to run a numeric interval filter plus a keyed comparison between them on the reward_units field; here's dataset A with 4 rows and dataset B with 4 rows, both covering Oct 2026. ## When to prefer this Choose this endpoint when you need to perform both numeric interval filtering and keyed cross-dataset comparison on staking reward records (reward_units, staked_units) in a single call. It is ideal for comparing two periods or two validator datasets without building custom analytics, and delivers two distinct reports for $0.01 USDC. Prefer it over general-purpose analytics tools when your data is already structured in the required row format and you need fast, local computation with no external data dependencies. ## Known failure modes - Rows array exceeds 200 items — request rejected - Missing required row fields (row_id, instrument_group, date, reward_units, staked_units) — validation error - Invalid date format (must match YYYY-MM-DD pattern) — schema rejection - Field enum value not recognized (must be reward_units or staked_units) — error - Numeric values outside allowed range (±1,000,000,000,000) — validation failure - Empty rows array (minItems: 1 not satisfied) — rejection - Mismatched row_ids between rows and other datasets — comparison may return partial results ## How this service works Staking supplied rewards — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + Keyed dataset comparison for supplied staking supplied rewards records (reward_units, staked_units). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows. ## Output Returns two analytical reports: (1) a numeric interval filter report showing which rows fall within defined numeric bands for the selected field, and (2) a keyed dataset comparison report mapping rows across the two supplied datasets by row_id and instrument_group, highlighting differences in reward_units or staked_units. No live data or external lookups — all analysis is performed on the supplied rows only. ## Request schema (JSON Schema) ```json { "type": "object", "properties": { "rows": { "type": "array", "items": { "type": "object", "required": [ "row_id", "instrument_group", "date", "reward_units", "staked_units" ], "properties": { "date": { "type": "string", "default": "", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "maxLength": 10 }, "row_id": { "type": "string", "default": "", "maxLength": 80, "minLength": 1 }, "reward_units": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "staked_units": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "instrument_group": { "type": "string", "default": "", "maxLength": 80 } }, "additionalProperties": false }, "default": [ { "date": "2026-10-01", "row_id": "row-1", "reward_units": 10, "staked_units": 1, "instrument_group": "group-a" }, { "date": "2026-10-02", "row_id": "row-2", "reward_units": 20, "staked_units": 2, "instrument_group": "group-b" }, { "date": "2026-10-03", "row_id": "row-3", "reward_units": 15, "staked_units": 3, "instrument_group": "group-a" }, { "date": "2026-10-04", "row_id": "row-4", "reward_units": 30, "staked_units": 4, "instrument_group": "group-b" } ], "maxItems": 200, "minItems": 1 }, "field": { "enum": [ "reward_units", "staked_units" ], "type": "string", "default": "reward_units" }, "other": { "type": "array", "items": { "type": "object", "required": [ "row_id", "instrument_group", "date", "reward_units", "staked_units" ], "properties": { "date": { "type": "string", "default": "", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "maxLength": 10 }, "row_id": { "type": "string", "default": "", "maxLength": 80, "minLength": 1 }, "reward_units": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "staked_units": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "instrument_gro … (truncated) ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/staking-supplied-rewards-numeric-interval-filter-keyed-dataset-adb630f9/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)